Subodh Kumar

932 citations
32 papers · 647 · h-index 8

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 5
    • Animal Genetics and Reproduction 5
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Microbial infections and disease research 7

Subodh Kumar

28 papers receiving 605 citations

Peers

Subodh Kumar
Comparison fields: 5 of 87
  • Economics and Econometrics 416
  • General Economics, Econometrics and Finance 115
  • Management Science and Operations Research 128
  • Agronomy and Crop Science 45
  • Microbiology 19
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Citations per field
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Citations per year

Countries citing papers authored by Subodh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Subodh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002491
2 201620
3 201312
4 201912
5 201912
6 201711
7 201210
8 20199
9 20147
10 20187
11 20166
12 20135
13 20145
14 20165
15 20085
16 20175
17 20204
18 20174
19
Characterization of growth hormone releasing hormone (GHRH) partial gene in buffalo
20073
20 20172

About Subodh Kumar

Subodh Kumar is a scholar working on Genetics, Microbiology, Small Animals, Molecular Biology and Epidemiology, having authored 32 papers that have together received 647 indexed citations. Recurring topics across this work include Microbial infections and disease research (7 papers), Mycobacterium research and diagnosis (6 papers), Genetic and phenotypic traits in livestock (5 papers), Animal Genetics and Reproduction (5 papers), Animal Disease Management and Epidemiology (4 papers), Animal health and immunology (4 papers), Cancer-related molecular mechanisms research (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Economics and Econometrics (416 citations), General Economics, Econometrics and Finance (115 citations), Management Science and Operations Research (128 citations), Agronomy and Crop Science (45 citations) and Microbiology (19 citations). Subodh Kumar has collaborated with scholars based in India, United States and Hungary. Frequent co-authors include R. Robert Russell, Anuj Chauhan, Amit Kumar, Abhijit Mitra, Ran Vir Singh, Chinmoy Mishra, Rohit Kumar, Satish Kumar, Shoor Vir Singh and S. K. Ghosh. Their work appears in journals such as Journal of Applied Animal Research, Molecular Biology Reports, Animal Reproduction Science, Veterinary Research Communications and Gene.

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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