Anuj Kumar
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Pharmacology top 10%
Papers in
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- Hepatitis C virus research 8
-
- Hepatitis B Virus Studies 5
- Co-authors
- John V. Paietta (2 shared papers)Saumitra Das (8 shared papers)Ranajoy Mullick (6 shared papers)Narayanaswamy Srinivasan (4 shared papers)Saumitra Das (5 shared papers)Govindarajan Sudha (2 shared papers)Satish Chandra Girimaji (1 shared paper)Susan Halloran Blanton (1 shared paper)
- Journals
- Journal of Virology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of General Virology (2 papers)Antiviral Research (2 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaFranceUnited States
In The Last Decade
Anuj Kumar
37 papers receiving 633 citations
Peers
Comparison fields: 5 of 90
- Hepatology 94
- Pharmacology 43
- Molecular Biology 295
- Virology 19
- Infectious Diseases 72
Countries citing papers authored by Anuj Kumar
This map shows the geographic impact of Anuj Kumar'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 Anuj Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Kumar more than expected).
Fields of papers citing papers by Anuj Kumar
This network shows the impact of papers produced by Anuj Kumar. 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 Anuj Kumar. The network helps show where Anuj Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Anuj Kumar, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 64 | |
| 2 | 2004 | 59 | |
| 3 | 1995 | 48 | |
| 4 | 2017 | 45 | |
| 5 | HuR Displaces Polypyrimidine Tract Binding Protein To Facilitate La Binding to the 3 ` Untranslated Region and Enhances Hepatitis C Virus Replication | 2015 | 44 |
| 6 | 1998 | 40 | |
| 7 | 2015 | 32 | |
| 8 | 2023 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2013 | 22 | |
| 11 | 2017 | 22 | |
| 12 | 2015 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2022 | 20 | |
| 15 | 2014 | 17 | |
| 16 | 2013 | 16 | |
| 17 | 2013 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2013 | 12 |
About Anuj Kumar
Anuj Kumar is a scholar working on Hepatology, Epidemiology, Plant Science, Molecular Biology and Complementary and alternative medicine, having authored 42 papers that have together received 648 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (5 papers), Wheat and Barley Genetics and Pathology (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genetics and Plant Breeding (3 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Hepatology (94 citations), Pharmacology (43 citations), Molecular Biology (295 citations), Virology (19 citations) and Infectious Diseases (72 citations). Anuj Kumar has collaborated with scholars based in India, France and United States. Frequent co-authors include John V. Paietta, Saumitra Das, Ranajoy Mullick, Narayanaswamy Srinivasan, Saumitra Das, Govindarajan Sudha, Satish Chandra Girimaji, Susan Halloran Blanton, Mohan Babu and Upasana Ray. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of General Virology, Antiviral Research and Scientific Reports.
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.