Mark Gerstein

Mark Gerstein

Yale University

H-index: 193

North America-United States

About Mark Gerstein

Mark Gerstein, With an exceptional h-index of 193 and a recent h-index of 106 (since 2020), a distinguished researcher at Yale University, specializes in the field of Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Variational Graph Partitioning Approach to Modeling Protein Liquid-liquid Phase Separation

Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering

Single-cell genomics and regulatory networks for 388 human brains

Binding profiles for 954 Drosophila and C. elegans transcription factors reveal tissue specific regulatory relationships

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science

Less-is-more: selecting transcription factor binding regions informative for motif inference

Transcriptional Determinism and Stochasticity Contribute to the Complexity of Autism Associated SHANK Family Genes

-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations

Mark Gerstein Information

University

Yale University

Position

Professor of Biomedical Informatics

Citations(all)

213759

Citations(since 2020)

73095

Cited By

168946

hIndex(all)

193

hIndex(since 2020)

106

i10Index(all)

595

i10Index(since 2020)

422

Email

University Profile Page

Yale University

Mark Gerstein Skills & Research Interests

Bioinformatics

Top articles of Mark Gerstein

Title

Journal

Author(s)

Publication Date

A Variational Graph Partitioning Approach to Modeling Protein Liquid-liquid Phase Separation

bioRxiv

Gaoyuan Wang

Jonathan Warrell

Suchen Zheng

Mark Gerstein

2024

Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering

Advances in Neural Information Processing Systems

Tianxiao Li

Hongyu Guo

Filippo Grazioli

Mark Gerstein

Martin Renqiang Min

2024/2/13

Single-cell genomics and regulatory networks for 388 human brains

bioRxiv

Prashant S Emani

Jason J Liu

Declan Clarke

Matthew Jensen

Jonathan Warrell

...

2024/3/19

Binding profiles for 954 Drosophila and C. elegans transcription factors reveal tissue specific regulatory relationships

bioRxiv

MIchelle Kudron

Louis Gewirtzman

Alec Victorsen

Bridget C Lear

Jiahao Gao

...

2024

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science

arXiv preprint arXiv:2402.04247

Xiangru Tang

Qiao Jin

Kunlun Zhu

Tongxin Yuan

Yichi Zhang

...

2024/2/6

Less-is-more: selecting transcription factor binding regions informative for motif inference

Nucleic Acids Research

Jinrui Xu

Jiahao Gao

Pengyu Ni

Mark Gerstein

2024/2/28

Transcriptional Determinism and Stochasticity Contribute to the Complexity of Autism Associated SHANK Family Genes

bioRxiv

Xiaona Lu

Pengyu Ni

Paola Suarez-Meade

Ma Yu

Emily Niemitz Forrest

...

2024

-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations

arXiv preprint arXiv:2402.17749

Gaoyuan Wang

Jonathan Warrell

Prashant S Emani

Mark Gerstein

2024/2/27

Predicting A/B compartments from histone modifications using deep learning

bioRxiv

Suchen Zheng

Nitya Thakkar

Hannah L Harris

Megan Zhang

Susanna Liu

...

2022/4/19

Validation of Enhancer Regions in Primary Human Neural Progenitor Cells using Capture STARR-seq

bioRxiv

Sophia C Gaynor-Gillett

Lijun Cheng

Manman Shi

Jason Liu

Gaoyuan Wang

...

2024

ChatCell: Facilitating Single-Cell Analysis with Natural Language

arXiv preprint arXiv:2402.08303

Yin Fang

Kangwei Liu

Ningyu Zhang

Xinle Deng

Penghui Yang

...

2024/2/13

MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise

arXiv preprint arXiv:2404.04285

Chunyuan Deng

Xiangru Tang

Yilun Zhao

Hanming Wang

Haoran Wang

...

2024/4/3

Spatially Exploring RNA Biology in Archival Formalin-Fixed Paraffin-Embedded Tissues

bioRxiv

Zhiliang Bai

Dingyao Zhang

Yan Gao

Bo Tao

Shuozhen Bao

...

2024

A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation

arXiv preprint arXiv:2402.08703

Xiangru Tang

Howard Dai

Elizabeth Knight

Fang Wu

Yunyang Li

...

2024/2/13

Latent evolutionary signatures: a general framework for analysing music and cultural evolution

bioRxiv

Jonathan Warrell

Leonidas Salichos

Mark Gerstein

2020/10/25

Publisher Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

Nature genetics

Isidro Cortés-Ciriano

Jake June-Koo Lee

Ruibin Xi

Dhawal Jain

Youngsook L Jung

...

2023/5

The ENCODE4 long-read RNA-seq collection reveals distinct classes of transcript structure diversity

bioRxiv

Fairlie Reese

Brian Williams

Gabriela Balderrama-Gutierrez

Dana Wyman

Muhammed Hasan Çelik

...

2023/5/16

Minor intron splicing is critical for survival of lethal prostate cancer

Molecular cell

Anke Augspach

Kyle D Drake

Luca Roma

Ellen Qian

Se Ri Lee

...

2023/6/7

More than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome

Science Advances

Christopher J Minteer

Kyra Thrush

John Gonzalez

Peter Niimi

Mariya Rozenblit

...

2023/7/19

Improved prediction of ligand-protein binding affinities by meta-modeling

arXiv preprint arXiv:2310.03946

Ho-Joon Lee

Prashant S Emani

Mark B Gerstein

2023/10/5

See List of Professors in Mark Gerstein University(Yale University)

Mark Gerstein FAQs

What is Mark Gerstein's h-index at Yale University?

The h-index of Mark Gerstein has been 106 since 2020 and 193 in total.

What are Mark Gerstein's top articles?

The articles with the titles of

A Variational Graph Partitioning Approach to Modeling Protein Liquid-liquid Phase Separation

Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering

Single-cell genomics and regulatory networks for 388 human brains

Binding profiles for 954 Drosophila and C. elegans transcription factors reveal tissue specific regulatory relationships

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science

Less-is-more: selecting transcription factor binding regions informative for motif inference

Transcriptional Determinism and Stochasticity Contribute to the Complexity of Autism Associated SHANK Family Genes

-QVAE: A Quantum Variational Autoencoder utilizing Regularized Mixed-state Latent Representations

...

are the top articles of Mark Gerstein at Yale University.

What are Mark Gerstein's research interests?

The research interests of Mark Gerstein are: Bioinformatics

What is Mark Gerstein's total number of citations?

Mark Gerstein has 213,759 citations in total.