Sushant Bhat

1.3k citations
27 papers · 404 · h-index 12

Impact in

Papers in

Sushant Bhat

25 papers receiving 400 citations

Peers

Sushant Bhat
Comparison fields: 5 of 56
  • Agronomy and Crop Science 128
  • Infectious Diseases 119
  • Epidemiology 192
  • Animal Science and Zoology 55
  • Developmental Neuroscience 19
Replace Matthias Lenk with:
Matthias Lenk Germany
Roland Riebe Germany
Pucheng Chen China
Sébastien Soubiès France
Derek T. Scholes United States
Henan Zhu United States
Olivier Guionie France
Silke Schepelmann United Kingdom
Mengjie Yang China
Kalyani Putty India
Sushant Bhat relative to Matthias Lenk Germany Matthias Lenk's profile →
Citations per field
00.5×6.3×
Matthias Lenk · 1×
Citations per year

Countries citing papers authored by Sushant Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Sushant Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198642
2 201838
3 202236
4 201336
5 201631
6 201829
7 202028
8 201627
9 201924
10 201515
11 202314
12 202211
13 202010
14 202010
15 20168
16 20218
17 20227
18 20207
19 20186
20 20224

About Sushant Bhat

Sushant Bhat is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Molecular Biology, having authored 27 papers that have together received 404 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (19 papers), Influenza Virus Research Studies (18 papers), Viral gastroenteritis research and epidemiology (6 papers), Animal Virus Infections Studies (6 papers), Respiratory viral infections research (5 papers), Viral Infections and Vectors (4 papers), Immunotherapy and Immune Responses (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Agronomy and Crop Science (128 citations), Infectious Diseases (119 citations), Epidemiology (192 citations), Animal Science and Zoology (55 citations) and Developmental Neuroscience (19 citations). Sushant Bhat has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include D. H. Silberberg, Munir Iqbal, Jean-Rémy Sadeyen, Pengxiang Chang, Joshua E. Sealy, Sandeep Bhatia, Richa Sood, Semmannan Kalaiyarasu, Atul Kumar Pateriya and B.P. Sreenivasa. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, Vaccines, Viruses and Microbial Pathogenesis.

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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