Sudipta Bhat

3.0k citations
17 papers · 1.9k · 2 hit papers · h-index 10

Impact in

Papers in

Sudipta Bhat

17 papers receiving 1.9k citations

Sudipta Bhat's Hit Papers

Coronavirus Disease 2019–COVID-19 2020 · 1.3k citations
1.3k0+2+4Years since publication4008001.2k

Peers

Sudipta Bhat
Comparison fields: 5 of 149
  • Infectious Diseases 888
  • Modeling and Simulation 197
  • General Dentistry 45
  • Health Informatics 28
  • Neurology 162
Replace Shubhankar Sircar with:
Shubhankar Sircar India
Abeer Kazmi Pakistan
Michael Rajnik United States
Qianyun Liu China
Catharine I. Paules United States
Zi‐Wei Ye China
D. Katterine Bonilla‐Aldana Colombia
Calvin J. Chiew Singapore
Tanu Singhal India
Nistha Shrestha United States
Sudipta Bhat relative to Shubhankar Sircar India Shubhankar Sircar's profile →
Citations per field
00.5×1.5×
Shubhankar Sircar · 1×
Citations per year

Countries citing papers authored by Sudipta Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Sudipta Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Coronavirus Disease 2019–COVID-19
Hit paper breakdown →
20201251
2
Emerging novel coronavirus (2019-nCoV)—current scenario, evolutionary perspective based on genome analysis and recent developments
Hit paper breakdown →
2020375
3 2020116
4 202082
5 202028
6 202022
7 202020
8 202013
9 201611
10 201810
11 20216
12 20234
13 20242
14 20182
15 20192
16 20211
17 20181

About Sudipta Bhat

Sudipta Bhat is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (7 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Disease Management and Epidemiology (3 papers), Zoonotic diseases and public health (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (888 citations), Modeling and Simulation (197 citations), General Dentistry (45 citations), Health Informatics (28 citations) and Neurology (162 citations). Sudipta Bhat has collaborated with scholars based in India, United States and Saint Kitts and Nevis. Frequent co-authors include Yashpal Singh Malik, Shubhankar Sircar, Kuldeep Dhama, Ruchi Tiwari, Khan Sharun, Wanpen Chaicumpa, Alfonso J. Rodríguez‐Morales, D. Katterine Bonilla‐Aldana, Karam Pal Singh and Maryam Dadar. Their work appears in journals such as Pathogens, Virology, Reviews in Medical Virology, Veterinary Quarterly and Human Vaccines & Immunotherapeutics.

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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