Milan Surjit
Impact in
- Hepatology top 1%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Hepatology 21
- Hepatitis Viruses Studies and Epidemiology 21
- Hepatitis C virus research 11
- Liver Disease and Transplantation 6
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- Viral gastroenteritis research and epidemiology 12
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Sunil K. Lal (13 shared papers)Vincent Chow (5 shared papers)Bo Liu (4 shared papers)Shahid Jameel (4 shared papers)C. T. Ranjith-Kumar (14 shared papers)Pierre Chambon (2 shared papers)Mei Li (2 shared papers)Atish Mukherji (2 shared papers)
In The Last Decade
Milan Surjit
39 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 113
- Hepatology 596
- Infectious Diseases 1.1k
- Animal Science and Zoology 261
- Behavioral Neuroscience 57
- Immunology 297
Countries citing papers authored by Milan Surjit
This map shows the geographic impact of Milan Surjit'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 Milan Surjit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Surjit more than expected).
Fields of papers citing papers by Milan Surjit
This network shows the impact of papers produced by Milan Surjit. 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 Milan Surjit. The network helps show where Milan Surjit may publish in the future.
Co-authors
The 25 scholars most cited alongside Milan Surjit, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 413 | |
| 2 | 2016 | 186 | |
| 3 | 2006 | 164 | |
| 4 | 2005 | 147 | |
| 5 | 2004 | 128 | |
| 6 | 2007 | 125 | |
| 7 | 2017 | 104 | |
| 8 | 2004 | 101 | |
| 9 | 2003 | 67 | |
| 10 | 2004 | 66 | |
| 11 | 2007 | 65 | |
| 12 | 2006 | 53 | |
| 13 | 2012 | 51 | |
| 14 | 2022 | 45 | |
| 15 | 2005 | 39 | |
| 16 | 2018 | 39 | |
| 17 | 2007 | 31 | |
| 18 | 2018 | 29 | |
| 19 | 2020 | 25 | |
| 20 | 2016 | 24 |
About Milan Surjit
Milan Surjit is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Molecular Biology and Animal Science and Zoology, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (21 papers), Viral gastroenteritis research and epidemiology (12 papers), Hepatitis C virus research (11 papers), Hepatitis B Virus Studies (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Animal Virus Infections Studies (6 papers), Liver Disease and Transplantation (6 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Hepatology (596 citations), Infectious Diseases (1.1k citations), Animal Science and Zoology (261 citations), Behavioral Neuroscience (57 citations) and Immunology (297 citations). Milan Surjit has collaborated with scholars based in India, Singapore and Thailand. Frequent co-authors include Sunil K. Lal, Vincent Chow, Bo Liu, Shahid Jameel, C. T. Ranjith-Kumar, Pierre Chambon, Mei Li, Atish Mukherji, Daniel Metzger and Tao Ye. Their work appears in journals such as Journal of Virology, Frontiers in Microbiology, Journal of Biological Chemistry, Scientific Reports and mSystems.
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.