Nirupma Pati
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Clinical Biochemistry top 10%
- Paraoxonase enzyme and polymorphisms
Papers in
-
- bioluminescence and chemiluminescence research 2
- Peroxisome Proliferator-Activated Receptors 2
- Surgery 3
- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Uttam Pati (5 shared papers)Soumitra Ghosh (4 shared papers)Shiv Kumar Sarin (4 shared papers)Sukriti Sukriti (3 shared papers)Victoria L. Magnuson (1 shared paper)Martin J. Hessner (2 shared papers)Xujing Wang (1 shared paper)Ankur Sethi (1 shared paper)
- Journals
- Molecular Genetics and Metabolism (2 papers)International Journal of Cardiology (1 paper)Bioinformatics (1 paper)Vaccine (1 paper)Journal of Gastroenterology and Hepatology (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Nirupma Pati
14 papers receiving 329 citations
Peers
Comparison fields: 5 of 74
- Hepatology 72
- Clinical Biochemistry 47
- Health 37
- Epidemiology 114
- Infectious Diseases 50
Countries citing papers authored by Nirupma Pati
This map shows the geographic impact of Nirupma Pati'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 Nirupma Pati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirupma Pati more than expected).
Fields of papers citing papers by Nirupma Pati
This network shows the impact of papers produced by Nirupma Pati. 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 Nirupma Pati. The network helps show where Nirupma Pati may publish in the future.
Co-authors
The 20 scholars most cited alongside Nirupma Pati, 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 | 2008 | 89 | |
| 2 | 2004 | 64 | |
| 3 | 1998 | 51 | |
| 4 | 2003 | 50 | |
| 5 | 2000 | 24 | |
| 6 | 2004 | 14 | |
| 7 | 2010 | 14 | |
| 8 | 2004 | 13 | |
| 9 | Efficacy of Shanvac-B recombinant DNA hepatitis B vaccine in health care workers of Northern India. | 2010 | 12 |
| 10 | 2003 | 5 | |
| 11 | 2006 | 5 | |
| 12 | 2002 | 3 | |
| 13 | 2004 | 2 | |
| 14 | 2000 | 2 |
About Nirupma Pati
Nirupma Pati is a scholar working on Molecular Biology, Surgery, Epidemiology, Immunology and Hepatology, having authored 14 papers that have together received 348 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Lipoproteins and Cardiovascular Health (3 papers), bioluminescence and chemiluminescence research (2 papers), Hepatitis C virus research (2 papers), T-cell and B-cell Immunology (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Hepatology (72 citations), Clinical Biochemistry (47 citations), Health (37 citations), Epidemiology (114 citations) and Infectious Diseases (50 citations). Nirupma Pati has collaborated with scholars based in India and United States. Frequent co-authors include Uttam Pati, Soumitra Ghosh, Shiv Kumar Sarin, Sukriti Sukriti, Victoria L. Magnuson, Martin J. Hessner, Xujing Wang, Ankur Sethi, Yan Wu and Manoj Kumar. Their work appears in journals such as Molecular Genetics and Metabolism, International Journal of Cardiology, Bioinformatics, Vaccine and Journal of 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.