Tapas Kumar Nayak

534 citations
16 papers · 387 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research

Papers in

Tapas Kumar Nayak

16 papers receiving 382 citations

Peers

Tapas Kumar Nayak
Comparison fields: 5 of 64
  • Virology 69
  • Infectious Diseases 154
  • Public Health, Environmental and Occupational Health 197
  • Sensory Systems 31
  • Physiology 24
Replace Dvorak Montiel-Condado with:
Dvorak Montiel-Condado Mexico
Marie-Pierre Courageot France
You Yu China
Srinivasan Ramakrishnan United States
Kessiri Kongmanas United States
Enara Aguirre Spain
Megan J. Downie Australia
Raquel Amorim Canada
Kathrin Buchholz United States
Debajit Dey India
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Citations per field
00.5×4.9×
Dvorak Montiel-Condado · 1×
Citations per year

Countries citing papers authored by Tapas Kumar Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Kumar Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201666
2 201460
3 201745
4 201439
5 201338
6 201931
7 201423
8 202122
9 202021
10 202211
11 20219
12 20219
13 20187
14 20233
15 20202
16 20241

About Tapas Kumar Nayak

Tapas Kumar Nayak is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 387 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (7 papers), HIV Research and Treatment (3 papers), Cardiac Fibrosis and Remodeling (3 papers), interferon and immune responses (2 papers), Neuropeptides and Animal Physiology (2 papers), Viral Infections and Outbreaks Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Virology (69 citations), Infectious Diseases (154 citations), Public Health, Environmental and Occupational Health (197 citations), Sensory Systems (31 citations) and Physiology (24 citations). Tapas Kumar Nayak has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Subhasis Chattopadhyay, Soma Chattopadhyay, Prabhudutta Mamidi, Abhishek Kumar, Sameer Kumar, Subhransu S. Sahoo, Bharat Bhusan Subudhi, Amol Ratnakar Suryawanshi, Laishram Pradeepkumar Singh and Chandan Goswami. Their work appears in journals such as Scientific Reports, PLoS ONE, PLoS Pathogens, Channels and Journal of Molecular and Cellular Cardiology.

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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