Subhra Subhadra

462 citations
20 papers · 248 · 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

19 papers receiving 244 citations

Peers

Subhra Subhadra
Comparison fields: 5 of 46
  • Hepatology 122
  • Infectious Diseases 136
  • Small Animals 41
  • Parasitology 19
  • Agronomy and Crop Science 16
Replace Lisandru Capai with:
Lisandru Capai France
Débora Regina Lopes dos Santos Brazil
K. K. Kyuregyan Russia
Jianguo Zhu China
Tetsuya Ishibashi Japan
Juliana Schons Gularte Brazil
Katsumi Chijiwa Japan
Gabriela Ribeiro‐dos‐Santos Brazil
Shirley Masse France
Nazibrola Chitadze Georgia
Subhra Subhadra relative to Lisandru Capai France Lisandru Capai's profile →
Citations per field
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Lisandru Capai · 1×
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 2013133
2 202117
3 201416
4 202315
5 201613
6 20197
7 20217
8 20216
9 20216
10 20216
11 20195
12 20234
13 20203
14 20212
15 20222
16 20232
17 20132
18 20141
19 20251
20 20230

About Subhra Subhadra

Subhra Subhadra is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Small Animals, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 248 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (6 papers), Helminth infection and control (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (2 papers), Vector-Borne Animal Diseases (2 papers), Respiratory viral infections research (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Hepatology (122 citations), Infectious Diseases (136 citations), Small Animals (41 citations), Parasitology (19 citations) and Agronomy and Crop Science (16 citations). Subhra Subhadra has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Subrat Kumar, Bhupinder Singh, B. Panda, Jyotsnamayee Sabat, Sanghamitra Pati, Jyotirmayee Turuk, Ritesh Pattnaik, Basant Kumar Panda, Girish Chandra Dash and Debdutta Bhattacharya. Their work appears in journals such as International Journal of Infectious Diseases, BioTechniques, PLoS neglected tropical diseases, Frontiers in Microbiology and PLoS ONE.

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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