Sudipta Bhat

3.0k citations
14 papers · 1.7k · 2 hit papers · h-index 9

Impact in

Papers in

Sudipta Bhat

14 papers receiving 1.7k citations

Sudipta Bhat's Hit Papers

Coronavirus Disease 2019–COVID-19 2020 · 1.2k citations
1.2k0+2+4Years since publication4008001.2k

Peers

Sudipta Bhat
Comparison fields: 5 of 152
  • Infectious Diseases 943
  • Modeling and Simulation 227
  • General Dentistry 45
  • Health Informatics 25
  • Neurology 208
Replace Shubhankar Sircar with:
Shubhankar Sircar India
Michael Rajnik United States
Catharine I. Paules United States
Zi‐Wei Ye China
Esteban Ortiz‐Prado Ecuador
Yu‐Jiun Chan Taiwan
Sin‐Yee Fung Hong Kong
Kit‐San Yuen Hong Kong
Guangcai Duan China
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

14 of 14 papers shown
#Work
1
Coronavirus Disease 2019–COVID-19
Hit paper breakdown →
20201209
2
Emerging novel coronavirus (2019-nCoV)—current scenario, evolutionary perspective based on genome analysis and recent developments
Hit paper breakdown →
2020363
3 202064
4 202026
5 202021
6 202020
7 201611
8 202010
9 201810
10 20216
11 20234
12 20182
13 20241
14 20211

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 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Immunology Research (7 papers), Animal Disease Management and Epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 epidemiological studies (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Infectious Diseases (943 citations), Modeling and Simulation (227 citations), General Dentistry (45 citations), Health Informatics (25 citations) and Neurology (208 citations). Sudipta Bhat has collaborated with scholars based in India, Saint Kitts and Nevis and United States. Frequent co-authors include Kuldeep Dhama, Shubhankar Sircar, Yashpal Singh Malik, Ruchi Tiwari, Khan Sharun, Wanpen Chaicumpa, Alfonso J. Rodríguez‐Morales, Karam Pal Singh, D. Katterine Bonilla‐Aldana and Maryam Dadar. Their work appears in journals such as Pathogens, Frontiers in Veterinary Science, Reviews in Medical Virology, Human Vaccines & Immunotherapeutics and Archives of Virology.

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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