Gagan Mathur
Impact in
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis
- Pharmacology top 10%
- Cannabis and Cannabinoid Research
Papers in
-
- Iron Metabolism and Disorders 4
- Blood groups and transfusion 3
- Co-authors
- Marcus Nashelsky (1 shared paper)George Behonick (1 shared paper)Kevin G. Shanks (1 shared paper)Charles F. Lynch (1 shared paper)Anthony A. James (1 shared paper)Kenneth E. Olson (1 shared paper)Osvaldo Marinotti (1 shared paper)Irma Sánchez-Vargas (1 shared paper)
- Journals
- Transfusion (5 papers)Journal of Pathology Informatics (2 papers)Blood (1 paper)Acta Ophthalmologica (1 paper)Transfusion Medicine (1 paper)
- Partner nations
- United StatesIndiaUganda
In The Last Decade
Gagan Mathur
16 papers receiving 349 citations
Peers
Comparison fields: 5 of 82
- Toxicology 126
- Pharmacology 109
- Insect Science 62
- Infectious Diseases 59
- Emergency Medicine 27
Countries citing papers authored by Gagan Mathur
This map shows the geographic impact of Gagan Mathur'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 Gagan Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gagan Mathur more than expected).
Fields of papers citing papers by Gagan Mathur
This network shows the impact of papers produced by Gagan Mathur. 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 Gagan Mathur. The network helps show where Gagan Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Gagan Mathur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 135 | |
| 2 | 2010 | 79 | |
| 3 | 2020 | 42 | |
| 4 | 1978 | 21 | |
| 5 | 1966 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2017 | 16 | |
| 8 | Clinical profile and mortality among novel influenza A (H1N1) infected patients: 2009-2010 Jodhpur, Rajasthan pandemic. | 2013 | 8 |
| 9 | 2017 | 5 | |
| 10 | 1970 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2014 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2017 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
About Gagan Mathur
Gagan Mathur is a scholar working on Hematology, Infectious Diseases, Molecular Biology, Genetics and Management of Technology and Innovation, having authored 21 papers that have together received 362 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), Iron Metabolism and Disorders (4 papers), Blood groups and transfusion (3 papers), Blood donation and transfusion practices (3 papers), Blood transfusion and management (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Electronic Health Records Systems (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Toxicology (126 citations), Pharmacology (109 citations), Insect Science (62 citations), Infectious Diseases (59 citations) and Emergency Medicine (27 citations). Gagan Mathur has collaborated with scholars based in United States, India and Uganda. Frequent co-authors include Marcus Nashelsky, George Behonick, Kevin G. Shanks, Charles F. Lynch, Anthony A. James, Kenneth E. Olson, Osvaldo Marinotti, Irma Sánchez-Vargas, DK Sen and Kunal Saha. Their work appears in journals such as Transfusion, Journal of Pathology Informatics, Blood, Acta Ophthalmologica and Transfusion Medicine.
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.