Long Cai

Long Cai

California Institute of Technology

H-index: 41

North America-United States

About Long Cai

Long Cai, With an exceptional h-index of 41 and a recent h-index of 39 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of single cell genomics, spatial genomics.

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

Reconstructing cell histories in space with image-readable base editor recording

Multiplex labeling of molecules by sequential hybridization barcoding

Quantitative analysis of single-cell proteins by identification and quantification separation (duet)

# 6014 SINGLE-CELL SPATIAL TRANSCRIPTOMICS OF THE KIDNEY IN HEALTH AND DISEASE DEFINES INJURY-SPECIFIC DOMAINS AND IDENTIFIES NOVEL CELL-CELL INTERACTIONS

High-resolution spatial multi-omics reveals cell-type specific nuclear compartments

Spatial transcriptomics defines injury-specific microenvironments in the adult mouse kidney and novel cellular interactions in regeneration and disease

Multi-channel line scanner for fast large field and confocal imaging

Method of mapping spatial distributions of cellular components

Long Cai Information

University

Position

Research Professor of Biology

Citations(all)

13493

Citations(since 2020)

9186

Cited By

7528

hIndex(all)

41

hIndex(since 2020)

39

i10Index(all)

51

i10Index(since 2020)

50

Email

University Profile Page

Google Scholar

Long Cai Skills & Research Interests

single cell genomics

spatial genomics

Top articles of Long Cai

Title

Journal

Author(s)

Publication Date

Reconstructing cell histories in space with image-readable base editor recording

bioRxiv

Duncan M Chadly

Kirsten L Frieda

Chen Gui

Leslie Klock

Martin Tran

...

2024

Multiplex labeling of molecules by sequential hybridization barcoding

2023/9/21

Quantitative analysis of single-cell proteins by identification and quantification separation (duet)

2023/8/15

# 6014 SINGLE-CELL SPATIAL TRANSCRIPTOMICS OF THE KIDNEY IN HEALTH AND DISEASE DEFINES INJURY-SPECIFIC DOMAINS AND IDENTIFIES NOVEL CELL-CELL INTERACTIONS

Nephrology Dialysis Transplantation

Louisa Gerhardt

Michal Polonsky

Shiwei Zheng

Jina Yun

Kari Koppitch

...

2023/6

High-resolution spatial multi-omics reveals cell-type specific nuclear compartments

BioRxiv

Yodai Takei

Yujing Yang

Jonathan White

Jina Yun

Meera Prasad

...

2023/5/9

Spatial transcriptomics defines injury-specific microenvironments in the adult mouse kidney and novel cellular interactions in regeneration and disease

bioRxiv

Michal Polonsky

Louisa MS Gerhardt

Jina Yun

Kari Koppitch

Katsuya Lex Colón

...

2023/11/22

Multi-channel line scanner for fast large field and confocal imaging

2023/3/7

Method of mapping spatial distributions of cellular components

2023/10/19

In situ readout of dna barcodes

2022/12/15

Immunohistochemistry via hybridization chain reaction

2022/10/12

Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis

JCI insight

Ricardo Melo Ferreira

Angela R Sabo

Seth Winfree

Kimberly S Collins

Danielle Janosevic

...

2021/6/6

Giotto: a toolbox for integrative analysis and visualization of spatial expression data

Genome biology

Ruben Dries

Qian Zhu

Rui Dong

Chee-Huat Linus Eng

Huipeng Li

...

2021/12

Integrated spatial genomics in tissues reveals invariant and cell type dependent nuclear architecture

bioRxiv

Yodai Takei

Shiwei Zheng

Jina Yun

Sheel Shah

Nico Pierson

...

2021/4/27

Single-cell nuclear architecture across cell types in the mouse brain

Science

Yodai Takei

Shiwei Zheng

Jina Yun

Sheel Shah

Nico Pierson

...

2021/10/29

Imaging cell lineage with a synthetic digital recording system

Science

Ke-Huan K Chow

Mark W Budde

Alejandro A Granados

Maria Cabrera

Shinae Yoon

...

2021/4/9

A multi-channel line scanner for fast large field and confocal imaging and corresponding measurement methods

2021/9/8

In situ single-cell activities of microbial populations revealed by spatial transcriptomics

bioRxiv

Daniel Dar

Nina Dar

Long Cai

Dianne K Newman

2021/2/25

Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution

Science

Daniel Dar

Nina Dar

Long Cai

Dianne K Newman

2021/8/13

Sensitive and multiplexed detection of nucleic acids and proteins for large scale serological testing

2021/12/23

Integrated spatial genomics reveals global architecture of single nuclei

Nature

Yodai Takei

Jina Yun

Shiwei Zheng

Noah Ollikainen

Nico Pierson

...

2021/2/11

See List of Professors in Long Cai University(California Institute of Technology)