Debasis Panda

518 citations
11 papers · 357 · h-index 9

Impact in

    • Virology and Viral Diseases
    • Cervical Cancer and HPV Research
    • interferon and immune responses

Papers in

    • Virology and Viral Diseases 6
    • Cervical Cancer and HPV Research 1
    • Cellular transport and secretion 3

Debasis Panda

10 papers receiving 350 citations

Peers

Debasis Panda
Comparison fields: 5 of 35
  • Epidemiology 131
  • Immunology 78
  • Virology 16
  • Biophysics 18
  • Infectious Diseases 44
Replace Stephen Berryman with:
Stephen Berryman United Kingdom
Paula F. Zamora United States
Andrea Laimbacher Switzerland
Judith Verhelst Belgium
Joshua S. Loomis United States
Masfique Mehedi United States
Florencia Meyer United States
Yao E. Wang United States
Yuuki Kaname Japan
Regina Lizundia United Kingdom
Debasis Panda relative to Stephen Berryman United Kingdom Stephen Berryman's profile →
Citations per field
00.5×1.5×2×2.3×
Stephen Berryman · 1×
Citations per year

Countries citing papers authored by Debasis Panda

Since Specialization
Citations

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

Fields of papers citing papers by Debasis Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201181
2 201359
3 201257
4 200948
5 201135
6 200830
7 200921
8 201016
9 20129
10 20251
11 20240

About Debasis Panda

Debasis Panda is a scholar working on Epidemiology, Cell Biology, Immunology, Cardiology and Cardiovascular Medicine and Genetics, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include Virology and Viral Diseases (6 papers), Cellular transport and secretion (3 papers), interferon and immune responses (2 papers), Cervical Cancer and HPV Research (1 paper), RNA Research and Splicing (1 paper), Virus-based gene therapy research (1 paper), Cardiac Arrhythmias and Treatments (1 paper) and Cardiac tumors and thrombi (1 paper). The work is most often cited by research in Epidemiology (131 citations), Immunology (78 citations), Virology (16 citations), Biophysics (18 citations) and Infectious Diseases (44 citations). Debasis Panda has collaborated with scholars based in United States and India. Frequent co-authors include Asit K. Pattnaik, Phat X. Dinh, Anshuman Das, Debasis Nayak, Lalit K. Beura, Subash C. Das, Phani B. Das, Beth Gold, Sheri L. Hanna and Kaycie C. Hopkins. Their work appears in journals such as Journal of Virology, Virology Journal, Proceedings of the National Academy of Sciences, Cell Reports and 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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