Sudarshan Kumar

2.8k citations
125 papers · 1.9k · h-index 25

Impact in

Papers in

Sudarshan Kumar

113 papers receiving 1.9k citations

Peers

Sudarshan Kumar
Comparison fields: 5 of 120
  • Agronomy and Crop Science 333
  • Reproductive Medicine 168
  • Microbiology 101
  • Animal Science and Zoology 129
  • Food Science 223
Replace Amit Kumar with:
Amit Kumar India
Marie‐Louise Hammarström Sweden
Takashi Shimizu Japan
Claudia Bevilacqua France
Hans‐Joachim Schuberth Germany
Federica Riva Italy
Guanxiang Liang United States
Kristel Demeyere Belgium
Manabu Yamada Japan
Lela K. Riley United States
Sudarshan Kumar relative to Amit Kumar India Amit Kumar's profile →
Citations per field
00.5×1.5×2.4×
Amit Kumar · 1×
Citations per year

Countries citing papers authored by Sudarshan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sudarshan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003201
2 2019125
3 201388
4 201865
5 202264
6
Respiratory distress in neonates with special reference to pneumonia.
200252
7 201251
8 201147
9
Prevalence of markers of transfusion transmissible diseases in voluntary and replacement blood donors.
200445
10 201445
11 201845
12 202037
13 201436
14 202235
15 201733
16 200531
17 201431
18 201731
19 201629
20 201528

About Sudarshan Kumar

Sudarshan Kumar is a scholar working on Molecular Biology, Agronomy and Crop Science, Genetics, Immunology and Food Science, having authored 125 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (21 papers), Probiotics and Fermented Foods (12 papers), Animal Genetics and Reproduction (11 papers), Milk Quality and Mastitis in Dairy Cows (11 papers), Genetic and phenotypic traits in livestock (10 papers), Reproductive Biology and Fertility (10 papers), Reproductive System and Pregnancy (8 papers) and Sperm and Testicular Function (8 papers). The work is most often cited by research in Agronomy and Crop Science (333 citations), Reproductive Medicine (168 citations), Microbiology (101 citations), Animal Science and Zoology (129 citations) and Food Science (223 citations). Sudarshan Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Ashok Kumar Mohanty, Jai K. Kaushik, Manoj Kumar Jena, Dhruba Malakar, Syed Azmal Ali, Amod Gupta, Surinder Singh Pandav, Ashok Sharma, Ravinder Kaur and Bijayananda Patnaik. Their work appears in journals such as Journal of Proteomics, PLoS ONE, Scientific Reports, International Journal of Biological Macromolecules and Reproduction in Domestic Animals.

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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