Abhinay Gontu

695 citations
21 papers · 208 indexed · h-index 8
Topics
SARS-CoV-2 and COVID-19 Research (9 papers)Animal Virus Infections Studies (6 papers)Viral Infections and Vectors (5 papers)
Partner nations
United StatesIndia

In The Last Decade

Abhinay Gontu

19 papers receiving 199 citations

Peers

Abhinay Gontu
Comparison fields: 5 of 53
  • Infectious Diseases 110
  • Molecular Biology 64
  • Epidemiology 51
  • Genetics 23
  • Animal Science and Zoology 22
Replace Jyoti S. Kumar with:
Jyoti S. Kumar India
Paula Rodrigues de Almeida Brazil
Christin H. Goodman United States
Anise N. Happi Nigeria
Darly J. Manayani United States
Anthony Relmy France
Bikash R. Sahoo United States
Timothy Song United States
Shiho Torii Japan
Ravikumar Rajamanonmani Singapore
Abhinay Gontu relative to Jyoti S. Kumar India Jyoti S. Kumar's profile →
Citations per field
00.5×1.5×1.9×
Jyoti S. Kumar · 1×
Citations per year

Countries citing papers authored by Abhinay Gontu

Since Specialization
Citations

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

Fields of papers citing papers by Abhinay Gontu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinay Gontu

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinay Gontu. A scholar is included among the top collaborators of Abhinay Gontu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhinay Gontu. Abhinay Gontu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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9 12
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11 58
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15
Utility of recombinant LipL41 based IgM and IgG ELISA in diagnosis of canine leptospirosis in an endemic area - a study from Kerala, India.
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About Abhinay Gontu

Abhinay Gontu is a scholar working on Infectious Diseases, Animal Science and Zoology and Virology, having authored 21 papers that have together received 208 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Animal Virus Infections Studies (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Infectious Diseases (110 citations), Virology (15 citations) and Parasitology (20 citations). Abhinay Gontu has collaborated with scholars based in United States and India. Frequent co-authors include Suresh V. Kuchipudi, Meera Surendran Nair, S. Murugan, Rahul K. Nelli, Ruth H. Nissly, Victoria S. Cavener, Kurt J. Vandegrift, Costas D. Maranas, Ratul Chowdhury and M. Mini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Functional Materials and Scientific Reports.

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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2026