Daniel P. Russo

Daniel P. Russo

Rutgers, The State University of New Jersey

H-index: 22

North America-United States

About Daniel P. Russo

Daniel P. Russo, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at Rutgers, The State University of New Jersey, specializes in the field of Cheminformatics, Big Data, Toxicology, Pharmacology.

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

Data-Driven Quantitative Structure–Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure

Integrating structure annotation and machine learning approaches to develop graphene toxicity models

Integrating Concentration-Dependent Toxicity Data and Toxicokinetics To Inform Hepatotoxicity Response Pathways

High-throughput screening assay profiling for large chemical databases

Mechanism-driven modeling of chemical hepatotoxicity using structural alerts and an in vitro screening assay

Predicting prenatal developmental toxicity based on the combination of chemical structures and biological data

Automatic Quantitative Structure–Activity Relationship Modeling to Fill Data Gaps in High-Throughput Screening

Correction to “Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery”

Daniel P. Russo Information

University

Position

PhD Candidate

Citations(all)

2202

Citations(since 2020)

1952

Cited By

929

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

33

i10Index(since 2020)

32

Email

University Profile Page

Rutgers, The State University of New Jersey

Google Scholar

View Google Scholar Profile

Daniel P. Russo Skills & Research Interests

Cheminformatics

Big Data

Toxicology

Pharmacology

Top articles of Daniel P. Russo

Title

Journal

Author(s)

Publication Date

Data-Driven Quantitative Structure–Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure

Environmental Science & Technology

Elena Chung

Daniel P Russo

Heather L Ciallella

Yu-Tang Wang

Min Wu

...

2023/4/11

Integrating structure annotation and machine learning approaches to develop graphene toxicity models

Carbon

Tong Wang

Daniel P Russo

Dimitrios Bitounis

Philip Demokritou

Xuelian Jia

...

2023/2/1

Integrating Concentration-Dependent Toxicity Data and Toxicokinetics To Inform Hepatotoxicity Response Pathways

Environmental Science & Technology

Daniel P Russo

Lauren M Aleksunes

Katy Goyak

Hua Qian

Hao Zhu

2023/8/11

High-throughput screening assay profiling for large chemical databases

Daniel P Russo

Hao Zhu

2022/3/17

Mechanism-driven modeling of chemical hepatotoxicity using structural alerts and an in vitro screening assay

Journal of hazardous materials

Xuelian Jia

Xia Wen

Daniel P Russo

Lauren M Aleksunes

Hao Zhu

2022/8/15

Predicting prenatal developmental toxicity based on the combination of chemical structures and biological data

Environmental science & technology

Heather L Ciallella

Daniel P Russo

Swati Sharma

Yafan Li

Eddie Sloter

...

2022/4/22

Automatic Quantitative Structure–Activity Relationship Modeling to Fill Data Gaps in High-Throughput Screening

Heather L Ciallella

Elena Chung

Daniel P Russo

Hao Zhu

2022/3/17

Correction to “Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery”

Molecular pharmaceutics

Thomas Lane

Daniel P Russo

Kimberley M Zorn

Alex M Clark

Alexandru Korotcov

...

2021/6/17

CATMoS: collaborative acute toxicity modeling suite

Environmental health perspectives

Kamel Mansouri

Agnes L Karmaus

Jeremy Fitzpatrick

Grace Patlewicz

Prachi Pradeep

...

2021/4/30

In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities

Arianna Bassan

Vinicius M Alves

Alexander Amberg

Lennart T Anger

Lisa Beilke

...

2021/11/1

Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine-and deep-learning approaches

Laboratory investigation

Heather L Ciallella

Daniel P Russo

Lauren M Aleksunes

Fabian A Grimm

Hao Zhu

2021/4/1

Aggregation and analysis of secondary pharmacology data from investigational new drug submissions at the US Food and Drug Administration

Journal of Pharmacological and Toxicological Methods

Andrew Dodson

Kevin Mi

Daniel P Russo

Christina Scott

Muriel Saulnier

...

2021/9/1

Construction of a virtual opioid bioprofile: a data-driven QSAR modeling study to identify new analgesic opioids

ACS sustainable chemistry & engineering

Xuelian Jia

Heather L Ciallella

Daniel P Russo

Linlin Zhao

Morgan H James

...

2021/3/4

Polypharmacy as maintenance treatment in bipolar illness: A systematic review

Andrea Amerio

Daniel Russo

Norberto Miletto

Andrea Aguglia

Alessandra Costanza

...

2021/9

Revealing adverse outcome pathways from public high-throughput screening data to evaluate new toxicants by a knowledge-based deep neural network approach

Environmental science & technology

Heather L Ciallella

Daniel P Russo

Lauren M Aleksunes

Fabian A Grimm

Hao Zhu

2021/7/26

Mechanism-driven read-across of chemical hepatotoxicants based on chemical structures and biological data

Toxicological sciences

Linlin Zhao

Daniel P Russo

Wenyi Wang

Lauren M Aleksunes

Hao Zhu

2020/4/1

Prediction of Nano–Bio Interactions through Convolutional Neural Network Analysis of Nanostructure Images

ACS Sustainable Chemistry & Engineering

Xiliang Yan

Jin Zhang

Daniel P Russo

Hao Zhu

Bing Yan

2020/12/15

Virtual molecular projections and convolutional neural networks for the end-to-end modeling of nanoparticle activities and properties

Analytical Chemistry

Daniel P Russo

Xiliang Yan

Sunil Shende

Heng Huang

Bing Yan

...

2020/9/24

Abnormal functional relationship of sensorimotor network with neurotransmitter-related nuclei via subcortical-cortical loops in manic and depressive phases of bipolar disorder

Schizophrenia Bulletin

Matteo Martino

Paola Magioncalda

Benedetta Conio

Laura Capobianco

Daniel Russo

...

2020/1/4

Predictive modeling of angiotensin I-converting enzyme inhibitory peptides using various machine learning approaches

Journal of agricultural and food chemistry

Yu-Tang Wang

Daniel P Russo

Chang Liu

Qian Zhou

Hao Zhu

...

2020/9/11

See List of Professors in Daniel P. Russo University(Rutgers, The State University of New Jersey)