Subhra Subhadra

447 citations
20 papers · 240 · h-index 7

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors

Papers in

Subhra Subhadra

18 papers receiving 235 citations

Peers

Subhra Subhadra
Comparison fields: 5 of 47
  • Hepatology 121
  • Infectious Diseases 159
  • Small Animals 42
  • Parasitology 20
  • Modeling and Simulation 10
Replace Lisandru Capai with:
Lisandru Capai France
Sébastien Lambert France
Luca De Sabato Italy
Juliana Schons Gularte Brazil
Jeannette Lange Germany
Shirley Masse France
Anna‐Lena Sander Germany
Tetsuya Ishibashi Japan
Vittorio Sarchese Italy
Elena N. Lopareva United States
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Citations per field
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Citations per year

Countries citing papers authored by Subhra Subhadra

Since Specialization
Citations

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

Fields of papers citing papers by Subhra Subhadra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013132
2 202117
3 201416
4 202313
5 201612
6 20197
7 20216
8 20216
9 20216
10 20195
11 20234
12 20214
13 20203
14 20212
15 20132
16 20222
17 20232
18 20141
19 20230
20 20250

About Subhra Subhadra

Subhra Subhadra is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Small Animals, Animal Science and Zoology and Epidemiology, having authored 20 papers that have together received 240 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), Mosquito-borne diseases and control (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Malaria Research and Control (3 papers), SARS-CoV-2 detection and testing (3 papers), Helminth infection and control (3 papers) and Coccidia and coccidiosis research (2 papers). The work is most often cited by research in Hepatology (121 citations), Infectious Diseases (159 citations), Small Animals (42 citations), Parasitology (20 citations) and Modeling and Simulation (10 citations). Subhra Subhadra has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Subrat Kumar, Bhupinder Singh, B. Panda, M. Raman, Jyotsnamayee Sabat, Sanghamitra Pati, Jyotirmayee Turuk, Ritesh Pattnaik, Basant Kumar Panda and Girish Chandra Dash. Their work appears in journals such as International Journal of Infectious Diseases, BMJ Paediatrics Open, Journal of Medical Virology, BioTechniques and Epidemiology and Infection.

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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