Purnima Bhat

1.3k citations
30 papers · 915 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Hepatology top 10%

Papers in

    • Hepatitis B Virus Studies 6
    • Liver Disease Diagnosis and Treatment 6
    • Colorectal Cancer Screening and Detection 4
    • COVID-19 and healthcare impacts 3

Purnima Bhat

28 papers receiving 901 citations

Peers

Purnima Bhat
Comparison fields: 5 of 98
  • Immunology 397
  • Hepatology 93
  • Hematology 113
  • Oncology 241
  • Gastroenterology 33
Replace Kelly Hudspeth with:
Kelly Hudspeth Italy
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Morgan Taillardet France
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Kirsten J. L. Hammond Australia
Purnima Bhat relative to Kelly Hudspeth Italy Kelly Hudspeth's profile →
Citations per field
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Citations per year

Countries citing papers authored by Purnima Bhat

Since Specialization
Citations

This map shows the geographic impact of Purnima Bhat'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 Purnima Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purnima Bhat more than expected).

Fields of papers citing papers by Purnima Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Purnima Bhat. 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 Purnima Bhat. The network helps show where Purnima Bhat may publish in the future.

Co-authors

The 25 scholars most cited alongside Purnima Bhat, 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 Purnima Bhat Line = papers co-authored together Purnima Bhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017351
2 2011156
3 200761
4 200752
5 201045
6 200942
7 201435
8 202031
9 200825
10 201918
11 201117
12 201412
13 202211
14 202110
15 202010
16 20208
17 20177
18 20144
19 20243
20
Development of a DNA diagnostic probe for the detection of the human malarial parasite Plasmodium falciparum.
19883

About Purnima Bhat

Purnima Bhat is a scholar working on Epidemiology, Oncology, Immunology, Surgery and Hepatology, having authored 30 papers that have together received 915 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Colorectal Cancer Screening and Detection (4 papers), Hepatitis C virus research (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), COVID-19 and healthcare impacts (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Immunology (397 citations), Hepatology (93 citations), Hematology (113 citations), Oncology (241 citations) and Gastroenterology (33 citations). Purnima Bhat has collaborated with scholars based in Australia, Norway and Germany. Frequent co-authors include Ian H. Frazer, Graham R. Leggatt, Nigel J. Waterhouse, David A. Anderson, Peter Thorn, Christian Engwerda, Katie E. Lineburg, Yana A. Wilson, Günter J. Hämmerling and Kelli P. A. MacDonald. Their work appears in journals such as Journal of Virology, Digestive Endoscopy, Molecular Biology of the Cell, Liver International and Nature Medicine.

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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