Nirupma Pati

464 citations
14 papers · 357 · h-index 9

Impact in

    • Paraoxonase enzyme and polymorphisms
  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • bioluminescence and chemiluminescence research 2
    • Epigenetics and DNA Methylation 1
    • Hepatitis B Virus Studies 4

Nirupma Pati

14 papers receiving 335 citations

Peers

Nirupma Pati
Comparison fields: 5 of 72
  • Clinical Biochemistry 47
  • Hepatology 49
  • Epidemiology 103
  • Health 21
  • Infectious Diseases 36
Replace Xiaomei Li with:
Xiaomei Li China
Tzy-Yen Chen Taiwan
Sara A. Murray United States
Zhiming Huang China
Beniamino Schiavone Italy
Lucia Mališová Czechia
Y Kishimoto Japan
Jinling Fang Singapore
Ryoichi Miura Japan
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Citations per field
00.5×5×11.8×
Xiaomei Li · 1×
Citations per year

Countries citing papers authored by Nirupma Pati

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nirupma Pati Line = papers co-authored together Nirupma Pati links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200891
2 200466
3 199852
4 200352
5 200025
6 201015
7 200414
8 200413
9
Efficacy of Shanvac-B recombinant DNA hepatitis B vaccine in health care workers of Northern India.
201012
10 20035
11 20065
12 20023
13 20042
14 20002

About Nirupma Pati

Nirupma Pati is a scholar working on Molecular Biology, Epidemiology, Surgery, Immunology and Cancer Research, having authored 14 papers that have together received 357 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Immunotherapy and Immune Responses (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Immune Cell Function and Interaction (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), T-cell and B-cell Immunology (2 papers), bioluminescence and chemiluminescence research (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Clinical Biochemistry (47 citations), Hepatology (49 citations), Epidemiology (103 citations), Health (21 citations) and Infectious Diseases (36 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, Manoj Kumar and Yan Wu. Their work appears in journals such as Molecular Genetics and Metabolism, Bioinformatics, Cellular Immunology, Journal of Gastroenterology and Hepatology and Biochemical and Biophysical Research Communications.

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.

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