Nil Gural
Impact in
- Hepatology top 5%
- Liver physiology and pathology
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- Malaria Research and Control
- Mosquito-borne diseases and control
Papers in
-
- Hepatitis B Virus Studies 2
- Mycobacterium research and diagnosis 1
-
- Malaria Research and Control 3
- Co-authors
- Sangeeta N. Bhatia (5 shared papers)Sandra March (5 shared papers)Ani Galstian (4 shared papers)Maria M. Mota (4 shared papers)Liliana Mâncio-Silva (4 shared papers)Shengyong Ng (3 shared papers)Heather E. Fleming (3 shared papers)Monty Liong (1 shared paper)
- Journals
- Cell Host & Microbe (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Cellular and Molecular Gastroenterology and Hepatology (1 paper)
- Partner nations
- United StatesPortugalThailand
In The Last Decade
Nil Gural
9 papers receiving 567 citations
Peers
Comparison fields: 5 of 86
- Hepatology 102
- Public Health, Environmental and Occupational Health 191
- Biomedical Engineering 198
- Parasitology 25
- Infectious Diseases 63
Countries citing papers authored by Nil Gural
This map shows the geographic impact of Nil Gural'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 Nil Gural with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nil Gural more than expected).
Fields of papers citing papers by Nil Gural
This network shows the impact of papers produced by Nil Gural. 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 Nil Gural. The network helps show where Nil Gural may publish in the future.
Co-authors
The 25 scholars most cited alongside Nil Gural, 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 | 2013 | 144 | |
| 2 | 2015 | 111 | |
| 3 | 2018 | 98 | |
| 4 | 2015 | 87 | |
| 5 | 2017 | 40 | |
| 6 | 2022 | 35 | |
| 7 | 2016 | 33 | |
| 8 | 2017 | 20 | |
| 9 | 2023 | 4 |
About Nil Gural
Nil Gural is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Hepatology, Molecular Biology and Computational Theory and Mathematics, having authored 9 papers that have together received 572 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Malaria Research and Control (3 papers), Hepatitis B Virus Studies (2 papers), Computational Drug Discovery Methods (2 papers), Tuberculosis Research and Epidemiology (1 paper), Mycobacterium research and diagnosis (1 paper), Pluripotent Stem Cells Research (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Hepatology (102 citations), Public Health, Environmental and Occupational Health (191 citations), Biomedical Engineering (198 citations), Parasitology (25 citations) and Infectious Diseases (63 citations). Nil Gural has collaborated with scholars based in United States, Portugal and Thailand. Frequent co-authors include Sangeeta N. Bhatia, Sandra March, Ani Galstian, Maria M. Mota, Liliana Mâncio-Silva, Shengyong Ng, Heather E. Fleming, Monty Liong, Christopher B. Ford and Mehmet Toner. Their work appears in journals such as Cell Host & Microbe, Scientific Reports, Nature Communications, Cell Reports and Cellular and Molecular Gastroenterology and Hepatology.
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.