Sriram Chandrasekaran

Also affiliated with Michigan Center for Translational Pathology

Biochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 34 papers. Top paper: “Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition”.

Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition

Communications Biology(2024)10.1038/s42003-024-07408-7

N/A

0.401DataRank · unranked

12 citations

Scott Campit, Shiva Krishna Katkam, Venkateshwar G. Keshamouni, Sriram Chandrasekaran, Rupa Bhowmick

Dissecting Murine Muscle Stem Cell Aging through Regeneration Using Integrative Genomic Analysis

Cell Reports(2020)10.1016/j.celrep.2020.107964

N/A

0DataRank · unranked

81 citations

Jacqueline Larouche, Paula Fraczek, Benjamin A. Yang, Lemuel A. Brown, James F. Markworth +10 more

Tissue of origin dictates GOT1 dependence and confers synthetic lethality to radiotherapy

Cancer & Metabolism(2020)10.1186/s40170-019-0202-2

N/A

0DataRank · unranked

52 citations

Lin Lin, Daniel M. Kremer, Cristovão M. Sousa, Cecilia Cotta‐Ramusino, Amy L. Myers +21 more

A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.03.281550

N/A

0DataRank · unranked

4 citations

Awanti Sambarey, Denise E. Kirschner, Jennifer J. Linderman, Sriram Chandrasekaran, Joseph M. Cicchese

The deacylase SIRT5 supports melanoma viability by regulating chromatin dynamics

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.07.286526

N/A

0DataRank · unranked

0 citations

Lauren Bringman-Rodenbarger, Angela H. Guo, Surinder Kumar, Alexander C. Monovich, Ahmed M. Mostafa +32 more

Exposure of mammary cells to lipid activates gene expression changes associated with ER-negative breast cancer via chromatin remodeling

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.13.422540

N/A

0DataRank · unranked

0 citations

Ranya Virk, Carolina H. Chung, David Van Derway, Duojiao Chen, Kirsten B. Burdett +11 more

Metabolism, HDACs, and HDAC Inhibitors: A Systems Biology Perspective

Metabolites(2021)10.3390/metabo11110792

N/A

0DataRank · unranked

70 citations

Maya Patel, Sriram Chandrasekaran, Jacob King

Next-Generation Genome-Scale Metabolic Modeling through Integration of Regulatory Mechanisms

Metabolites(2021)10.3390/metabo11090606

N/A

0DataRank · unranked

49 citations

Dawei Lin, Alec Eames, Sriram Chandrasekaran, Carolina H. Chung

The deacylase SIRT5 supports melanoma viability by influencing chromatin dynamics

Journal of Clinical Investigation(2021)10.1172/jci138926

N/A

0DataRank · unranked

46 citations

Lauren Bringman-Rodenbarger, Angela H. Guo, Surinder Kumar, Alexander C. Monovich, Ahmed M. Mostafa +32 more

A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs

Scientific Reports(2021)10.1038/s41598-021-84827-0

N/A

0DataRank · unranked

26 citations

Awanti Sambarey, Denise E. Kirschner, Jennifer J. Linderman, Sriram Chandrasekaran, Joseph M. Cicchese

A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.03.454957

N/A

0DataRank · unranked

3 citations

Sriram Chandrasekaran, Carolina H. Chung

Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.22.453333

N/A

0DataRank · unranked

1 citations

Sriram Chandrasekaran, Stanley Ng, Aikaterini Tourna, Carolina H. Chung, Kowsar A. Isse +12 more

Dynamic metabolic network modeling of a mammalian cell cycle using time-course multi-omics data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.11.464012

N/A

0DataRank · unranked

1 citations

Fangzhou Shen, Alec Eames, Mark P. Jedrychowski, Sriram Chandrasekaran, Ho‐Joon Lee

A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions

PNAS Nexus(2022)10.1093/pnasnexus/pgac132

N/A

0DataRank · unranked

28 citations

Sriram Chandrasekaran, Carolina H. Chung

Metabolic signatures of regulation by phosphorylation and acetylation

iScience(2022)10.1016/j.isci.2021.103730

N/A

0DataRank · unranked

20 citations

Fangzhou Shen, Ho‐Joon Lee, Sriram Chandrasekaran, Kirk Smith

Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer

Clinical & Experimental Metastasis(2022)10.1007/s10585-022-10185-4

N/A

0DataRank · unranked

20 citations

Michael Brooks, Yining Zhang, Scott Campit, Grace G. Bushnell, Joseph T. Decker +6 more

Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer

npj Breast Cancer(2022)10.1038/s41523-022-00422-0

N/A

0DataRank · unranked

12 citations

Ranya Virk, Carolina H. Chung, Mariana Bustamante Eduardo, David VanDerway, Duojiao Chen +12 more

Protocol for CAROM: A machine learning tool to predict post-translational regulation from metabolic signatures

STAR Protocols(2022)10.1016/j.xpro.2022.101799

N/A

0DataRank · unranked

4 citations

Nicole Rhoads, Sriram Chandrasekaran, Kirk Smith

Constraint-based modeling identifies metabolic vulnerabilities during the epithelial to mesenchymal transition

Research Square(2022)10.21203/rs.3.rs-1371396/v1

N/A

0DataRank · unranked

1 citations

Venkateshwar G. Keshamouni, Sriram Chandrasekaran, Scott Campit

Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis

medRxiv(2022)10.1101/2022.07.20.22277862

N/A

0DataRank · unranked

1 citations

Kirk Smith, Carolina H. Chung, Harkirat Singh Arora, Zhenhua Yang, Prachi Agarwal +2 more

Leveraging metabolic modeling and machine learning to uncover modulators of quiescence depth

PNAS Nexus(2023)10.1093/pnasnexus/pgae013

N/A

0DataRank · unranked

7 citations

Sriram Chandrasekaran, Alec Eames

An Ensemble Metabolome-Epigenome Interaction Network Identifies Metabolite Modulators of Epigenetic Drugs

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.27.530260

N/A

0DataRank · unranked

3 citations

Rupa Bhowmick, Taoan Lu, Aaditi Vivek Saoji, Jin Ran, Madeline R. Shay +3 more

Correction: Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease

Genome Medicine(2023)10.1186/s13073-023-01190-7

N/A

0DataRank · unranked

0 citations

Sriram Chandrasekaran, Stanley Ng, Aikaterini Tourna, Carolina H. Chung, Kowsar A. Isse +14 more

Correction: Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer

Clinical & Experimental Metastasis(2023)10.1007/s10585-023-10215-9

N/A

0DataRank · unranked

0 citations

Michael Brooks, Yining Zhang, Scott Campit, Grace G. Bushnell, Joseph T. Decker +6 more

Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis

iScience(2024)10.1016/j.isci.2024.109025

N/A

0DataRank · unranked

20 citations

Kirk Smith, Carolina H. Chung, Harkirat Singh Arora, Zhenhua Yang, Prachi Agarwal +2 more

Rapid prediction of thermodynamically destabilizing tyrosine phosphorylations in cancers

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.26.614998

N/A

0DataRank · unranked

2 citations

Liu Zhengqing, Atena Malemir Chegini, Jian Tian, Rupa Bhowmick, Subramanium Pennathur +4 more

Inferring Metabolic Objectives and Tradeoffs in Single Cells During Embryogenesis

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.09.579737

N/A

0DataRank · unranked

0 citations

Ling Zhang, Jin Zhang, Sriram Chandrasekaran, Da-Wei Lin

Small data, big challenges: Machine- and deep-learning strategies for data-limited drug discovery

Advanced Drug Delivery Reviews(2025)10.1016/j.addr.2025.115762

N/A

0DataRank · unranked

17 citations

Sriram Chandrasekaran, Nazreen Pallikkavaliyaveetil

Inferring metabolic objectives and trade-offs in single cells during embryogenesis

Cell Systems(2025)10.1016/j.cels.2024.12.005

N/A

0DataRank · unranked

8 citations

Ling Zhang, Jin Zhang, Sriram Chandrasekaran, Da-Wei Lin

Reprogramming SREBP1 ‐dependent lipogenesis and inflammation in high‐risk breast with licochalcone A: A novel path to cancer prevention

International Journal of Cancer(2025)10.1002/ijc.70226

N/A

0DataRank · unranked

1 citations

Elizabeth T. Bartom, Carolina H. Chung, Xingyu Guo, Kyli Berkley, Seyyedmohsen Hosseinibarkooie +10 more

Metabolic Objectives and Trade-Offs: Inference and Applications

Metabolites(2025)10.3390/metabo15020101

N/A

0DataRank · unranked

3 citations

Saanjh Khattar, Sriram Chandrasekaran, Da-Wei Lin

Discrimination of Normal from Slow-Aging Mice by Plasma Metabolomic and Proteomic Features

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.11.651908

N/A

0DataRank · unranked

0 citations

Oliver Fiehn, Noa Rappaport, Pranjal Srivastava, Kengo Watanabe, Sriram Chandrasekaran +2 more

Purine metabolism regulates DNA repair and therapy resistance in glioblastoma

Nature Communications(2020)10.1038/s41467-020-17512-x

N/A

0DataRank · unranked

259 citations

Yangyang Yao, Andrew J. Scott, Kari Wilder-Romans, Joseph Dresser, Christian K. Werner +23 more

A structural machine learning approach for rapid prediction of thermodynamically destabilizing tyrosine phosphorylations

Cell Reports Methods(2025)10.1016/j.crmeth.2025.101169

N/A

0DataRank · unranked

0 citations

Liu Zhengqing, Atena Malemir Chegini, Jian Tian, Rupa Bhowmick, Subramaniam Pennathur +4 more