M. Kumar

451 citations
28 papers · 340 · h-index 11

Impact in

Papers in

M. Kumar

27 papers receiving 283 citations

Peers

M. Kumar
Comparison fields: 5 of 61
  • Animal Science and Zoology 117
  • Microbiology 43
  • Agronomy and Crop Science 63
  • Infectious Diseases 82
  • Parasitology 24
Replace Toshiaki Ohgitani with:
Toshiaki Ohgitani Japan
Terry N. TerHune United States
Dieter Vancraeynest Belgium
Dragica Stojanović Serbia
Mario Mitak Croatia
Anne Richmond United Kingdom
Shigeji Katayama
Rajkumari Sanjukta India
Zhenhong Sun China
Marcos Santos Zanini Brazil
M. Kumar relative to Toshiaki Ohgitani Japan Toshiaki Ohgitani's profile →
Citations per field
00.5×3.3×
Toshiaki Ohgitani · 1×
Citations per year

Countries citing papers authored by M. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by M. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200046
2
Isolation of H13N2 influenza A virus from turkeys and surface water.
199245
3 202130
4 197126
5 201024
6 199721
7 196618
8 202116
9 200116
10 197015
11 197311
12
Epidemiological pattern of leptospirosis in livestock of Uttaranchal state
20059
13 20219
14 19728
15 20217
16 19726
17 19746
18 20025
19 19755
20
Enhanced production of enterocin from Enterococcus faecium LR/6 by statistical optimization of the growth medium.
20103

About M. Kumar

M. Kumar is a scholar working on Animal Science and Zoology, Plant Science, Food Science, Infectious Diseases and Epidemiology, having authored 28 papers that have together received 340 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Animal Nutrition and Physiology (5 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Microbial infections and disease research (4 papers), Fungal Biology and Applications (3 papers), Plant Pathogens and Fungal Diseases (2 papers) and Livestock and Poultry Management (2 papers). The work is most often cited by research in Animal Science and Zoology (117 citations), Microbiology (43 citations), Agronomy and Crop Science (63 citations), Infectious Diseases (82 citations) and Parasitology (24 citations). M. Kumar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include B. S. Pomeroy, Santosh Kumar Shukla, Rajesh Chandra, David A. Halvorson, V. Sivanandan, D. A. Senne, S. H. Kleven, M. Eyini, Vinita Yadav and Paulraj Balaji. Their work appears in journals such as Avian Diseases, Journal of Veterinary Diagnostic Investigation, Veterinary Record, Process Biochemistry and Saudi Journal of Biological Sciences.

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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