Kevin A. Kelley
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 10%
- Genetics top 5%
- Co-authors
- Paula M. PithaGiulio Maria PasinettiWei QiangRobert TyckoVictor L. FriedrichLap HoDavid WingerPaul Aisen
- Topics
- Animal Genetics and Reproduction (7 papers)interferon and immune responses (6 papers)CRISPR and Genetic Engineering (6 papers)
- Cited by
- Developmental NeuroscienceEndocrine and Autonomic SystemsCellular and Molecular Neuroscience
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kevin A. Kelley
50 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.2k
- Physiology 468
- Cellular and Molecular Neuroscience 381
- Immunology 379
- Genetics 348
Countries citing papers authored by Kevin A. Kelley
This map shows the geographic impact of Kevin A. Kelley'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 A. Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin A. Kelley more than expected).
Fields of papers citing papers by Kevin A. Kelley
This network shows the impact of papers produced by Kevin A. Kelley. 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 A. Kelley. The network helps show where Kevin A. Kelley may publish in the future.
Co-authorship network of co-authors of Kevin A. Kelley
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin A. Kelley. A scholar is included among the top collaborators of Kevin A. Kelley 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 A. Kelley. Kevin A. Kelley 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 | 24 | |
| 3 | 30 | |
| 4 | 33 | |
| 5 | 64 | |
| 6 | 57 | |
| 7 | 200 | |
| 8 | 52 | |
| 9 | 22 | |
| 10 | 25 | |
| 11 | 21 | |
| 12 | 90 | |
| 13 | 190 | |
| 14 | 29 | |
| 15 | 16 | |
| 16 | 27 | |
| 17 | 47 | |
| 18 | 13 | |
| 19 | 6 | |
| 20 | 27 |
About Kevin A. Kelley
Kevin A. Kelley is a scholar working on Developmental Neuroscience, Endocrine and Autonomic Systems and Genetics, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (7 papers), interferon and immune responses (6 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Developmental Neuroscience (130 citations), Endocrine and Autonomic Systems (158 citations) and Cellular and Molecular Neuroscience (381 citations). Kevin A. Kelley has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Paula M. Pitha, Giulio Maria Pasinetti, Wei Qiang, Robert Tycko, Victor L. Friedrich, Lap Ho, David Winger, Paul Aisen, José Freire-Moar and Charles V. Mobbs. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.
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.