Parimal Roy

121 papers receiving 1.3k citations

Peers

Parimal Roy
Comparison fields: 5 of 89
  • Animal Science and Zoology 340
  • Agronomy and Crop Science 323
  • Parasitology 180
  • Infectious Diseases 448
  • Small Animals 136
Replace Mariann Chriél with:
Mariann Chriél Denmark
Madalena Vieira‐Pinto Portugal
Hugh Whitney Canada
M. Van Vuuren South Africa
Richard K. Hoop Switzerland
Cristina Ballesteros Spain
Sandra Revilla‐Fernández Austria
Tahir Yaqub Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Parimal Roy

Since Specialization
Citations

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

Fields of papers citing papers by Parimal Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021113
2 200287
3 201455
4 201939
5
Antifungal susceptibility pattern of non-albicans Candida species & distribution of species isolated from Candidaemia cases over a 5 year period.
199639
6 202038
7 201935
8 201232
9 201232
10 200331
11 200131
12 200428
13 202127
14 200126
15 202024
16 201424
17 200023
18 202021
19 200820
20 202120

About Parimal Roy

Parimal Roy is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics, having authored 130 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virology and Viral Diseases (34 papers), Animal Disease Management and Epidemiology (27 papers), Viral Infections and Vectors (25 papers), Vector-Borne Animal Diseases (23 papers), Animal Virus Infections Studies (22 papers), Leptospirosis research and findings (14 papers), Microbial infections and disease research (11 papers) and Viral Infections and Immunology Research (11 papers). The work is most often cited by research in Animal Science and Zoology (340 citations), Agronomy and Crop Science (323 citations), Parasitology (180 citations), Infectious Diseases (448 citations) and Small Animals (136 citations). Parimal Roy has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Kuralayanapalya Puttahonnappa Suresh, P. Krishnamoorthy, A. S. Dhillon, L. H. Lauerman, H. L. Shivaprasad, V. Balamurugan, S. S. Patil, Siju Susan Jacob, K. Vinod Kumar and A. Koteeswaran. Their work appears in journals such as Tropical Animal Health and Production, Transboundary and Emerging Diseases, Avian Diseases, Research in Veterinary Science and Veterinary Immunology and Immunopathology.

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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