Kuldeep Kumar
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
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- Mesenchymal stem cell research
Papers in
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- Pluripotent Stem Cells Research 10
- CRISPR and Genetic Engineering 4
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- Reproductive Biology and Fertility 12
- Co-authors
- Ketul C. Popat (1 shared paper)Matt J. Kipper (1 shared paper)Timothy T. Ruckh (1 shared paper)Sadhan Bag (29 shared papers)S.B. Rai (1 shared paper)Mihir Sarkar (14 shared papers)Renu Singh (16 shared papers)Kinsuk Das (9 shared papers)
In The Last Decade
Kuldeep Kumar
41 papers receiving 396 citations
Peers
Comparison fields: 5 of 91
- Biomaterials 106
- Genetics 46
- Biomedical Engineering 133
- Equine 4
- Small Animals 18
Countries citing papers authored by Kuldeep Kumar
This map shows the geographic impact of Kuldeep 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 Kuldeep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuldeep Kumar more than expected).
Fields of papers citing papers by Kuldeep Kumar
This network shows the impact of papers produced by Kuldeep 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 Kuldeep Kumar. The network helps show where Kuldeep Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuldeep 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 121 | |
| 2 | 2017 | 35 | |
| 3 | 2012 | 35 | |
| 4 | 2007 | 27 | |
| 5 | 2016 | 17 | |
| 6 | 2016 | 14 | |
| 7 | 2012 | 13 | |
| 8 | 2012 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2013 | 9 | |
| 11 | 2014 | 7 | |
| 12 | 2019 | 7 | |
| 13 | Generation of transgenic mesenchymal stem cells expressing green fluorescent protein as reporter gene using no viral vector in caprine. | 2013 | 7 |
| 14 | 2020 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2013 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2013 | 5 |
About Kuldeep Kumar
Kuldeep Kumar is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Genetics and Surgery, having authored 45 papers that have together received 402 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), Pluripotent Stem Cells Research (10 papers), Mesenchymal stem cell research (9 papers), Animal Genetics and Reproduction (6 papers), Genetic Syndromes and Imprinting (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Biomaterials (106 citations), Genetics (46 citations), Biomedical Engineering (133 citations), Equine (4 citations) and Small Animals (18 citations). Kuldeep Kumar has collaborated with scholars based in India, China and Bulgaria. Frequent co-authors include Ketul C. Popat, Matt J. Kipper, Timothy T. Ruckh, Sadhan Bag, S.B. Rai, Mihir Sarkar, Renu Singh, Kinsuk Das, Bikash Chandra Das and Ajay Kumar. Their work appears in journals such as Theriogenology, In Vitro Cellular & Developmental Biology - Animal, Tissue and Cell, Cell Biology International and Microbial Pathogenesis.
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.