Neil Gupta
- Epidemiology top 5%
- Molecular Medicine top 0.5%
- Infectious Diseases top 5%
- Hepatology top 2%
- Endocrinology top 2%
- Co-authors
- Alexander J. KallenBrandi LimbagoJean B. PatelGene BukhmanSabin NsanzimanaBethany Hedt‐GauthierRuth JilesE. Quain
- Topics
- Hepatitis C virus research (31 papers)Hepatitis B Virus Studies (30 papers)Liver Disease Diagnosis and Treatment (22 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesRwandaSwitzerland
In The Last Decade
Neil Gupta
95 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Epidemiology 819
- Molecular Medicine 734
- Infectious Diseases 421
- Hepatology 404
- Endocrinology 301
Countries citing papers authored by Neil Gupta
This map shows the geographic impact of Neil Gupta'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 Neil Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Gupta more than expected).
Fields of papers citing papers by Neil Gupta
This network shows the impact of papers produced by Neil Gupta. 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 Neil Gupta. The network helps show where Neil Gupta may publish in the future.
Co-authorship network of co-authors of Neil Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Gupta. A scholar is included among the top collaborators of Neil Gupta 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 Neil Gupta. Neil Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 14 | |
| 7 | 60 | |
| 8 | 19 | |
| 9 | 74 | |
| 10 | 16 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 35 | |
| 16 | 40 | |
| 17 | 7 | |
| 18 | Handbook on monitoring and evaluation of human resources for health with special applications for low- and middle-income countries | 61 |
| 19 | 17 | |
| 20 | 30 |
About Neil Gupta
Neil Gupta is a scholar working on Hepatology, Applied Microbiology and Biotechnology and Epidemiology, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (31 papers), Hepatitis B Virus Studies (30 papers) and Liver Disease Diagnosis and Treatment (22 papers). The work is most often cited by research in Molecular Medicine (734 citations), Applied Microbiology and Biotechnology (258 citations) and Endocrinology (301 citations). Neil Gupta has collaborated with scholars based in United States, Rwanda and Switzerland. Frequent co-authors include Alexander J. Kallen, Brandi Limbago, Jean B. Patel, Gene Bukhman, Sabin Nsanzimana, Bethany Hedt‐Gauthier, Ruth Jiles, E. Quain, Agnès Soucat and Mário Roberto Dal Poz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.