Gaurav Singal

3.2k total citations
25 papers, 333 citations indexed

About

Gaurav Singal is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gaurav Singal has authored 25 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gaurav Singal's work include Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Gaurav Singal is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Gaurav Singal collaborates with scholars based in United States, India and Sweden. Gaurav Singal's co-authors include Gerald Li, Vincent A. Miller, Brian M. Alexander, Emily Castellanos, Vineeta Agarwala, Anala Gossai, Garrett M. Frampton, Amy P. Abernethy, David Fabrizio and Daniel M. Blumenthal and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer Research.

In The Last Decade

Gaurav Singal

20 papers receiving 328 citations

Peers

Gaurav Singal

ONCOL

PRM

CCM

SURGE

Mercedes Salgado Spain

Anurag Saraf United States

Sarmad Sadeghi United States

Ramy Saleh Canada

L Holmberg Sweden

Kristen S. Purrington United States

Thomas McGowan Canada

Amy R. Quillo United States

Sharon Peacock Hinton United States

Raymond Henderson United Kingdom

Mercedes Salgado Spain

Gaurav Singal

186 ×1.5

ONCOL

95 ×0.8

PRM

59 ×0.7

74 ×1.2

CCM

55 ×1.3

SURGE

Citations per year, relative to Gaurav Singal Gaurav Singal (= 1×) peers Mercedes Salgado

Countries citing papers authored by Gaurav Singal

Since Specialization

Citations

This map shows the geographic impact of Gaurav Singal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gaurav Singal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Singal more than expected).

Fields of papers citing papers by Gaurav Singal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaurav Singal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gaurav Singal. The network helps show where Gaurav Singal may publish in the future.

Co-authorship network of co-authors of Gaurav Singal

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Singal. A scholar is included among the top collaborators of Gaurav Singal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaurav Singal. Gaurav Singal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rathee, Geetanjali, et al.. (2025). A distributed classification and prediction model using federated learning in healthcare. Knowledge and Information Systems. 67(11). 10065–10085.

Madison, Russell W., Alexa B. Schrock, Emily Castellanos, et al.. (2020). Retrospective analysis of real-world data to determine clinical outcomes of patients with advanced non-small cell lung cancer following cell-free circulating tumor DNA genomic profiling. Lung Cancer. 148. 69–78. 20 indexed citations

Antonarakis, Emmanuel S., Russell W. Madison, Jeremy Snider, et al.. (2020). Association of BRCA alteration (alt) type with real-world (RW) outcomes to PARP inhibitors (PARPi) in patients (pts) with metastatic castrate-resistant prostate cancer (mCRPC).. Journal of Clinical Oncology. 38(15_suppl). 5527–5527. 2 indexed citations

Sohal, Davendra, Ben George, Brian M. Alexander, et al.. (2019). Accelerating advanced precision medicine through a harmonized data exchange platform and research consortium (PMEC).. Journal of Clinical Oncology. 37(15_suppl). 6557–6557.

Backenroth, Daniel, Changxia Shao, Guanlin Li, et al.. (2019). Prevalence and prognostic effect of high tumor mutation burden (TMB-H) across multiple less common solid cancers using a real-world dataset. Annals of Oncology. 30. v761–v762. 1 indexed citations

Agarwala, Vineeta, Sean Khozin, Gaurav Singal, et al.. (2018). Real-World Evidence In Support Of Precision Medicine: Clinico-Genomic Cancer Data As A Case Study. Health Affairs. 37(5). 765–772. 72 indexed citations

Agarwala, Vineeta, Anala Gossai, Gaurav Singal, et al.. (2018). Use of cancer immunotherapies in the real-world in the setting of microsatellite instability.. Journal of Clinical Oncology. 36(5_suppl). 30–30.

Singal, Gaurav, Gerald Li, Vineeta Agarwala, et al.. (2018). Abstract 1833: Identification of resistance mechanisms to EGFR treatment in the real world using a clinicogenomic database. Cancer Research. 78(13_Supplement). 1833–1833.

Singal, Gaurav, Peter G. Miller, Vineeta Agarwala, et al.. (2017). Analyzing biomarkers of cancer immunotherapy (CIT) response using a real-world clinico-genomic database. Annals of Oncology. 28. v404–v405. 9 indexed citations

10.

Ross, Jeff, Michael E. Goldberg, Lee A. Albacker, et al.. (2017). Immune checkpoint inhibitor (ICPI) efficacy and resistance detected by comprehensive genomic profiling (CGP) in non-small cell lung cancer (NSCLC). Annals of Oncology. 28. v404–v404. 8 indexed citations

11.

Goldin, Alison, et al.. (2016). Endoscopic Features and Eosinophil Density Are Associated with Food Impaction in Adults with Esophageal Eosinophilia. Digestive Diseases and Sciences. 61(9). 2578–2584. 3 indexed citations

12.

Blumenthal, Daniel M., et al.. (2015). Predicting Non-Adherence with Outpatient Colonoscopy Using a Novel Electronic Tool that Measures Prior Non-Adherence. Journal of General Internal Medicine. 30(6). 724–731. 29 indexed citations

13.

Singal, Gaurav, Gaurav A. Upadhyay, Rasmus Borgquist, et al.. (2015). Renal Response in Patients with Chronic Kidney Disease Predicts Outcome Following Cardiac Resynchronization Therapy. Pacing and Clinical Electrophysiology. 38(10). 1192–1200. 15 indexed citations

14.

Wasfy, Jason H., Gaurav Singal, Cashel O’Brien, et al.. (2015). Enhancing the Prediction of 30-Day Readmission After Percutaneous Coronary Intervention Using Data Extracted by Querying of the Electronic Health Record. Circulation Cardiovascular Quality and Outcomes. 8(5). 477–485. 20 indexed citations

15.

Chatterjee, Neal A., Gaurav A. Upadhyay, Gaurav Singal, et al.. (2014). Pre-Capillary Pulmonary Hypertension and Right Ventricular Dilation Predict Clinical Outcome in Cardiac Resynchronization Therapy. JACC Heart Failure. 2(3). 230–237. 21 indexed citations

16.

Friedman, Daniel J., Gaurav A. Upadhyay, Gaurav Singal, et al.. (2013). Usefulness and Consequences of Cardiac Resynchronization Therapy in Dialysis-Dependent Patients With Heart Failure. The American Journal of Cardiology. 112(10). 1625–1631. 8 indexed citations

17.

Singal, Gaurav, et al.. (2013). Su1866 Clinical Predictors of Response to Proton Pump Inhibitors in Patients With Esophageal Eosinophilia. Gastroenterology. 144(5). S–495. 4 indexed citations

18.

Nundy, Shantanu, et al.. (2012). A Web-Based Patient Tool for Preventive Health. Journal of Primary Care & Community Health. 3(4). 289–294. 3 indexed citations

19.

Meng, Ming, Gaurav Singal, Tharian S. Cherian, & Pawan Sinha. (2010). Neural correlates of categorical face perception. Journal of Vision. 8(6). 407–407. 6 indexed citations

20.

Mao, Meng, Tharian S. Cherian, Gaurav Singal, & Pawan Sinha. (2010). Functional lateralization of face processing. Journal of Vision. 10(7). 562–562. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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