Kevin D. Wells
- Molecular Biology top 2%
- Genetics top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Surgery top 5%
- Reproductive Medicine top 1%
- Co-authors
- Robert M. PettersRandall S. PratherR.J. WallMelissa SamuelNeil C. TalbotKristin M. WhitworthTodd VaughtDavid Ayares
- Topics
- Animal Genetics and Reproduction (42 papers)CRISPR and Genetic Engineering (35 papers)Virus-based gene therapy research (18 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNature Biotechnology
- Partner nations
- United StatesChinaJapan
In The Last Decade
Kevin D. Wells
100 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.8k
- Genetics 2.3k
- Public Health, Environmental and Occupational Health 1.2k
- Surgery 1.0k
- Reproductive Medicine 481
Countries citing papers authored by Kevin D. Wells
This map shows the geographic impact of Kevin D. Wells'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 Kevin D. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Wells more than expected).
Fields of papers citing papers by Kevin D. Wells
This network shows the impact of papers produced by Kevin D. Wells. 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 Kevin D. Wells. The network helps show where Kevin D. Wells may publish in the future.
Co-authorship network of co-authors of Kevin D. Wells
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Wells. A scholar is included among the top collaborators of Kevin D. Wells based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin D. Wells. Kevin D. Wells is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 26 | |
| 4 | 31 | |
| 5 | 55 | |
| 6 | 11 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 92 | |
| 10 | 6 | |
| 11 | 71 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 116 | |
| 15 | 27 | |
| 16 | 92 | |
| 17 | 33 | |
| 18 | 32 | |
| 19 | 7 | |
| 20 | 10 |
About Kevin D. Wells
Kevin D. Wells is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science, having authored 102 papers that have together received 4.9k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (42 papers), CRISPR and Genetic Engineering (35 papers) and Virus-based gene therapy research (18 papers). The work is most often cited by research in Genetics (2.3k citations), Reproductive Medicine (481 citations) and Public Health, Environmental and Occupational Health (1.2k citations). Kevin D. Wells has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert M. Petters, Randall S. Prather, R.J. Wall, Melissa Samuel, Neil C. Talbot, Kristin M. Whitworth, Todd Vaught, David Ayares, Suyapa Ball and Eric M. Walters. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.