Prashant Kumar

444 citations
32 papers · 315 · h-index 11

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 12
    • Clostridium difficile and Clostridium perfringens research 3
    • Protein purification and stability 3

Prashant Kumar

30 papers receiving 308 citations

Peers

Prashant Kumar
Comparison fields: 5 of 64
  • Endocrinology 54
  • Infectious Diseases 94
  • Molecular Medicine 23
  • Animal Science and Zoology 28
  • Cardiology and Cardiovascular Medicine 41
Replace Shifa Tahir with:
Shifa Tahir Pakistan
Bachar H. Hassan United States
Timothy A. Scott United Kingdom
Olga Petrauskene Russia
Julie E. Heggelund Norway
A. Hase Japan
Sameer Hassan India
Valérie Bordeau France
Yunyun Geng China
Gi Young Lee United States
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Citations per field
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Citations per year

Countries citing papers authored by Prashant Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201646
2 201630
3 201826
4 201419
5 201618
6 201818
7 201715
8 202215
9 201710
10 202410
11 202210
12 202010
13 20169
14 20218
15 20218
16 20178
17 20218
18 20157
19 20237
20 20256

About Prashant Kumar

Prashant Kumar is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology and Epidemiology, having authored 32 papers that have together received 315 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Escherichia coli research studies (6 papers), Viral Infections and Immunology Research (6 papers), Animal Virus Infections Studies (4 papers), Hepatitis B Virus Studies (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Protein purification and stability (3 papers) and Proteins in Food Systems (3 papers). The work is most often cited by research in Endocrinology (54 citations), Infectious Diseases (94 citations), Molecular Medicine (23 citations), Animal Science and Zoology (28 citations) and Cardiology and Cardiovascular Medicine (41 citations). Prashant Kumar has collaborated with scholars based in United States, India and Australia. Frequent co-authors include C. Russell Middaugh, Peter Macheroux, Karl Gruber, Silvia Wallner, Nicholas E. Dickenson, David B. Volkin, Wendy L. Picking, Sangeeta B. Joshi, Tea Pavkov‐Keller and Yangjie Wei. Their work appears in journals such as Journal of Pharmaceutical Sciences, Vaccine, Human Vaccines & Immunotherapeutics, Protein Science and Vaccines.

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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