Subrat Kumar

1.3k citations
48 papers · 1.0k · h-index 16

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors

Papers in

    • Viral gastroenteritis research and epidemiology 9
    • Viral Infections and Vectors 7
    • Hepatitis Viruses Studies and Epidemiology 8

Subrat Kumar

46 papers receiving 965 citations

Peers

Subrat Kumar
Comparison fields: 5 of 99
  • Hepatology 254
  • Infectious Diseases 388
  • Parasitology 73
  • Epidemiology 333
  • Endocrinology 38
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Citations per field
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Citations per year

Countries citing papers authored by Subrat Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Subrat Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014204
2 2013143
3 202271
4 201765
5 201857
6 201749
7
The incidence of sporadic viral hepatitis in North India: a preliminary study.
200741
8 201631
9 200726
10 201725
11
Hepatitis E epidemic with bimodal peak in a town of north India.
200922
12 200721
13
Virological investigation of a hepatitis E epidemic in North India.
200619
14 200818
15 201216
16 201116
17 202316
18 201316
19
Investigation of viral hepatitis E outbreak in a town in Haryana.
200814
20 201013

About Subrat Kumar

Subrat Kumar is a scholar working on Infectious Diseases, Hepatology, Small Animals, Agronomy and Crop Science and Epidemiology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Hepatitis Viruses Studies and Epidemiology (8 papers), Viral Infections and Vectors (7 papers), Mosquito-borne diseases and control (5 papers), Animal Disease Management and Epidemiology (4 papers), Parasitic Infections and Diagnostics (3 papers), Vector-Borne Animal Diseases (3 papers) and Malaria Research and Control (3 papers). The work is most often cited by research in Hepatology (254 citations), Infectious Diseases (388 citations), Parasitology (73 citations), Epidemiology (333 citations) and Endocrinology (38 citations). Subrat Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Nirmal Kumar Mohakud, Lindomar Pena, Subhra Subhadra, Bishnupriya Panda, Priyadarshi Soumyaranjan Sahu, Bhupinder Singh, Radha Kanta Ratho, Anuradha Chakraborti, Mrutyunjay Suar and Yogesh Kumar Chawla. Their work appears in journals such as International Journal of Infectious Diseases, Veterinary Record, Microbial Pathogenesis, Archives of Virology and Frontiers in Bioengineering and Biotechnology.

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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