Sushil Kumar
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Animal Science and Zoology top 2%
- Effects of Environmental Stressors on Livestock
Papers in
- Genetics 39
- Genetic and phenotypic traits in livestock 30
- Animal Genetics and Reproduction 11
- Co-authors
- Saikat Ghosh (1 shared paper)Sumana Paul (1 shared paper)Umesh Singh (47 shared papers)Harshad Ingle (6 shared papers)Himanshu Kumar (6 shared papers)Rajib Deb (39 shared papers)Gyanendra Singh Sengar (35 shared papers)Durbaka V. R. Prasad (1 shared paper)
- Journals
- Reproduction in Domestic Animals (6 papers)Theriogenology (3 papers)PLoS ONE (3 papers)International Journal of Biometeorology (3 papers)Animal Reproduction Science (2 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Sushil Kumar
119 papers receiving 2.4k citations
Sushil Kumar's Hit Papers
Peers
Comparison fields: 5 of 130
- Cancer Research 441
- Animal Science and Zoology 246
- Immunology 480
- Agronomy and Crop Science 187
- Molecular Biology 975
Countries citing papers authored by Sushil Kumar
This map shows the geographic impact of Sushil 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 Sushil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil Kumar more than expected).
Fields of papers citing papers by Sushil Kumar
This network shows the impact of papers produced by Sushil 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 Sushil Kumar. The network helps show where Sushil Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushil 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor glycolysis, an essential sweet tooth of tumor cells Hit paper breakdown → | 2022 | 299 |
| 2 | 2012 | 171 | |
| 3 | 2018 | 150 | |
| 4 | 2015 | 127 | |
| 5 | 2018 | 126 | |
| 6 | 2020 | 83 | |
| 7 | 2009 | 81 | |
| 8 | 2014 | 78 | |
| 9 | 2018 | 75 | |
| 10 | 2012 | 61 | |
| 11 | 2021 | 56 | |
| 12 | 1997 | 52 | |
| 13 | 2013 | 49 | |
| 14 | 2017 | 49 | |
| 15 | 2016 | 47 | |
| 16 | 2018 | 45 | |
| 17 | 2014 | 42 | |
| 18 | 2014 | 42 | |
| 19 | 2018 | 41 | |
| 20 | 2015 | 40 |
About Sushil Kumar
Sushil Kumar is a scholar working on Molecular Biology, Genetics, Agronomy and Crop Science, Immunology and Epidemiology, having authored 133 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (30 papers), Effects of Environmental Stressors on Livestock (13 papers), Animal Genetics and Reproduction (11 papers), Animal Disease Management and Epidemiology (11 papers), interferon and immune responses (10 papers), Sperm and Testicular Function (10 papers), Milk Quality and Mastitis in Dairy Cows (9 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Cancer Research (441 citations), Animal Science and Zoology (246 citations), Immunology (480 citations), Agronomy and Crop Science (187 citations) and Molecular Biology (975 citations). Sushil Kumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Saikat Ghosh, Sumana Paul, Umesh Singh, Harshad Ingle, Himanshu Kumar, Rajib Deb, Gyanendra Singh Sengar, Durbaka V. R. Prasad, Rani Singh and Rani Alex. Their work appears in journals such as Reproduction in Domestic Animals, Theriogenology, PLoS ONE, International Journal of Biometeorology and Animal Reproduction Science.
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.