Satjit Brar
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Antibiotics Pharmacokinetics and Efficacy
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
- Oncology 6
- Polyomavirus and related diseases 3
- Viral-associated cancers and disorders 2
- Cancer Immunotherapy and Biomarkers 2
-
- Pharmaceutical studies and practices 3
- Co-authors
- Joseph A. Grillo (2 shared papers)Julie Bullock (2 shared papers)K S Reynolds (1 shared paper)Pengfei Song (1 shared paper)L J Lesko (1 shared paper)Nam Atiqur Rahman (1 shared paper)Young‐Jin Moon (1 shared paper)B Booth (1 shared paper)
- Journals
- Clinical Pharmacology & Therapeutics (3 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)Journal of Neurotrauma (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Satjit Brar
15 papers receiving 819 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 198
- Statistics and Probability 114
- Oncology 282
- Genetics 90
- Pharmaceutical Science 46
Countries citing papers authored by Satjit Brar
This map shows the geographic impact of Satjit Brar'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 Satjit Brar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satjit Brar more than expected).
Fields of papers citing papers by Satjit Brar
This network shows the impact of papers produced by Satjit Brar. 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 Satjit Brar. The network helps show where Satjit Brar may publish in the future.
Co-authors
The 25 scholars most cited alongside Satjit Brar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 402 | |
| 2 | 2011 | 112 | |
| 3 | 2012 | 107 | |
| 4 | 2019 | 62 | |
| 5 | 2019 | 34 | |
| 6 | 2017 | 31 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 16 | |
| 9 | 2013 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2022 | 9 | |
| 12 | 2013 | 6 | |
| 13 | 2009 | 5 | |
| 14 | Brain penetration of Cyclosporin A in traumatic brain injury patients: a pharmacokinetic analysis | 2006 | 1 |
| 15 | 2021 | 1 |
About Satjit Brar
Satjit Brar is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Economics and Econometrics, Genetics and Pathology and Forensic Medicine, having authored 15 papers that have together received 838 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Polyomavirus and related diseases (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Viral-associated cancers and disorders (2 papers), Statistical Methods in Clinical Trials (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Pharmacology (198 citations), Statistics and Probability (114 citations), Oncology (282 citations), Genetics (90 citations) and Pharmaceutical Science (46 citations). Satjit Brar has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joseph A. Grillo, Julie Bullock, K S Reynolds, Pengfei Song, L J Lesko, Nam Atiqur Rahman, Young‐Jin Moon, B Booth, Ping Zhao and Ta C. Wu. Their work appears in journals such as Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology, Journal of Neurotrauma, Molecular Cancer Therapeutics and Clinical Cancer Research.
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.