Anuj Kumar
Impact in
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- RNA Research and Splicing 3
- RNA modifications and cancer 3
-
- 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)Susan H. Blanton (1 shared paper)Satish Chandra Girimaji (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Virology (3 papers)Scientific Reports (2 papers)Journal of General Virology (2 papers)Antiviral Research (2 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Anuj Kumar
32 papers receiving 546 citations
Peers
Comparison fields: 5 of 84
- Hepatology 92
- Pharmacology 42
- Virology 21
- Molecular Biology 287
- Cell Biology 58
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 59 | |
| 2 | 2004 | 55 | |
| 3 | 2017 | 45 | |
| 4 | HuR Displaces Polypyrimidine Tract Binding Protein To Facilitate La Binding to the 3 ` Untranslated Region and Enhances Hepatitis C Virus Replication (vol 89, pg 11356, 2015) | 2015 | 43 |
| 5 | 1995 | 42 | |
| 6 | 1998 | 37 | |
| 7 | 2015 | 28 | |
| 8 | 2022 | 21 | |
| 9 | 2017 | 21 | |
| 10 | 2013 | 20 | |
| 11 | 2015 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2013 | 14 | |
| 17 | 2013 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2017 | 8 | |
| 20 | 2012 | 7 |
About Anuj Kumar
Anuj Kumar is a scholar working on Molecular Biology, Epidemiology, Plant Science, Hepatology and Genetics, having authored 38 papers that have together received 553 indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (5 papers), Wheat and Barley Genetics and Pathology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA Research and Splicing (3 papers), Viral Infections and Immunology Research (3 papers), Genetics and Plant Breeding (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Hepatology (92 citations), Pharmacology (42 citations), Virology (21 citations), Molecular Biology (287 citations) and Cell Biology (58 citations). Anuj Kumar has collaborated with scholars based in India, United States and France. Frequent co-authors include John V. Paietta, Saumitra Das, Ranajoy Mullick, Narayanaswamy Srinivasan, Saumitra Das, Govindarajan Sudha, Susan H. Blanton, Satish Chandra Girimaji, Mohan Babu and Upasana Ray. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Scientific Reports, Journal of General Virology and Antiviral Research.
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.