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Rajarshi Guha

Pennsylvania State University · US
🔎 Find collaborators in Computational Theory and Mathematics · Reproductive Medicine →
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Area of research
Computational Theory and Mathematics · Reproductive Medicine
Research interest
Research interests include Drug discovery, Biology, Computational biology, Computer science, Genome, and Data science.
h-index
citations
2,420
works
15
NIH funding
primary concept
email

Recent publications

Therapeutic strategies for diffuse midline glioma from high-throughput combination drug screening
Science Translational Medicine 2019cited by 256position: middledoi
Unexplored therapeutic opportunities in the human genome
Nature Reviews Drug Discovery 2018cited by 381position: middledoi
Erratum: Unexplored therapeutic opportunities in the human genome
Nature Reviews Drug Discovery 2018cited by 321position: middledoi
Resistance to Epigenetic-Targeted Therapy Engenders Tumor Cell Vulnerabilities Associated with Enhancer Remodeling
Cancer Cell 2018cited by 93position: middledoi
<i>Assay Guidance Manual</i>: Quantitative Biology and Pharmacology in Preclinical Drug Discovery
Clinical and Translational Science 2018cited by 51position: middledoi
Canvass: A Crowd-Sourced, Natural-Product Screening Library for Exploring Biological Space
ACS Central Science 2018cited by 43position: middledoi
Drug target ontology to classify and integrate drug discovery data
Journal of Biomedical Semantics 2017cited by 76position: middledoi
A High-Throughput Screening Model of the Tumor Microenvironment for Ovarian Cancer Cell Growth
SLAS DISCOVERY 2017cited by 33position: middledoi
Open Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond
PLoS Pathogens 2016cited by 446position: middledoi
Pharos: Collating protein information to shed light on the druggable genome
Nucleic Acids Research 2016cited by 317position: lastdoi
A Druggable TCF4- and BRD4-Dependent Transcriptional Network Sustains Malignancy in Blastic Plasmacytoid Dendritic Cell Neoplasm
Cancer Cell 2016cited by 154position: middledoi
High-throughput matrix screening identifies synergistic and antagonistic antimalarial drug combinations
Scientific Reports 2015cited by 109position: middledoi
Assay Development Guidelines for Image-Based High Content Screening, High Content Analysis and High Content Imaging
2014cited by 87position: middle
An Overview of the Challenges in Designing, Integrating, and Delivering BARD: A Public Chemical-Biology Resource and Query Portal for Multiple Organizations, Locations, and Disciplines
SLAS DISCOVERY 2014cited by 28position: middledoi
BioAssay Research Database (BARD): chemical biology and probe-development enabled by structured metadata and result types
Nucleic Acids Research 2014cited by 25position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Marc Ferrer · National Institute of Biomedical Innovation, Health and Nutrition3 papers (2015–2017)Jeremy J. Yang · Massachusetts Institute of Technology2 papers (2014–2017)Stephan C. Schürer · University of Miami2 papers (2014–2017)Craig J. Thomas · National Institutes of Health2 papers (2015–2016)Tudor I. Oprea · University of New Mexico2 papers (2014–2017)Xin‐zhuan Su · Pennsylvania State University1 papers (2015–2015)David L. Lahr · National Institute of Standards and Technology1 papers (2014–2014)Wenming Xiao · National Heart Lung and Blood Institute1 papers (2016–2016)Moses O. Evbuomwan · Center for Cancer Research1 papers (2016–2016)Christopher C. Mader · University of Miami1 papers (2017–2017)Nima Aghdam · Georgetown University1 papers (2015–2015) · 1 papers (2015–2015)George W. Wright · National Institutes of Health1 papers (2016–2016)Lauren McGee · California University of Pennsylvania1 papers (2017–2017) · 1 papers (2014–2014)Hilary A. Kenny · Robert H. Lurie Comprehensive Cancer Center of Northwestern University1 papers (2017–2017)Amila Siriwardana · Georgetown University1 papers (2015–2015)Elaine S. Jaffe · National Institutes of Health1 papers (2016–2016) · 1 papers (2014–2014)James Inglese · National Human Genome Research Institute1 papers (2015–2015)
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