Pushpendra Kumar
Impact in
- Genetics top 10%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Science and Zoology top 5%
- Effects of Environmental Stressors on Livestock
- Animal Nutrition and Physiology
Papers in
- Genetics 47
- Genetic and phenotypic traits in livestock 43
- Animal Genetics and Reproduction 2
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- Milk Quality and Mastitis in Dairy Cows 8
- Co-authors
- Arjava Sharma (17 shared papers)T. K. Bhattacharya (16 shared papers)Amit Kumar (22 shared papers)Bharat Bhushan (30 shared papers)Bharat Bhushan (12 shared papers)Anuj Chauhan (17 shared papers)Nihar Ranjan Sahoo (17 shared papers)Manjit Panigrahi (16 shared papers)
In The Last Decade
Pushpendra Kumar
63 papers receiving 480 citations
Peers
Comparison fields: 5 of 45
- Genetics 290
- Animal Science and Zoology 87
- Endocrinology 19
- Agronomy and Crop Science 50
- Small Animals 29
Countries citing papers authored by Pushpendra Kumar
This map shows the geographic impact of Pushpendra 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 Pushpendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushpendra Kumar more than expected).
Fields of papers citing papers by Pushpendra Kumar
This network shows the impact of papers produced by Pushpendra 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 Pushpendra Kumar. The network helps show where Pushpendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pushpendra Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2003 | 34 | |
| 3 | 2020 | 30 | |
| 4 | 2014 | 29 | |
| 5 | Lysozyme in Livestock: A Guide to Selection for Disease Resistance: a Review | 2012 | 27 |
| 6 | 2019 | 22 | |
| 7 | 2004 | 19 | |
| 8 | 2022 | 19 | |
| 9 | 2016 | 18 | |
| 10 | 2004 | 17 | |
| 11 | 2015 | 15 | |
| 12 | 2004 | 13 | |
| 13 | 2014 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2004 | 11 | |
| 16 | 2006 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2003 | 8 | |
| 20 | 2006 | 8 |
About Pushpendra Kumar
Pushpendra Kumar is a scholar working on Genetics, Agronomy and Crop Science, Small Animals, Animal Science and Zoology and Endocrinology, having authored 68 papers that have together received 508 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (43 papers), Milk Quality and Mastitis in Dairy Cows (8 papers), Tuberculosis Research and Epidemiology (4 papers), Effects of Environmental Stressors on Livestock (3 papers), Helminth infection and control (3 papers), Escherichia coli research studies (3 papers), Immune Response and Inflammation (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Genetics (290 citations), Animal Science and Zoology (87 citations), Endocrinology (19 citations), Agronomy and Crop Science (50 citations) and Small Animals (29 citations). Pushpendra Kumar has collaborated with scholars based in India, Israel and Czechia. Frequent co-authors include Arjava Sharma, T. K. Bhattacharya, Amit Kumar, Bharat Bhushan, Bharat Bhushan, Anuj Chauhan, Nihar Ranjan Sahoo, Manjit Panigrahi, Gyanendra Singh and Neeraj Kashyap. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Journal of Applied Animal Research, Molecular Biology Reports, Genes and FEBS Journal.
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.