Kevin M. Collins
- Cell Biology top 2%
- Molecular Biology
- Aging top 1%
- Endocrine and Autonomic Systems top 5%
- Physiology top 2%
- Co-authors
- William WicknerRutilio A. FrattiGabriel‐Miro MunteanChristopher StroupeMichael R. KoelleAlexey J. MerzLi WangAndrew Olson
- Topics
- Genetics, Aging, and Longevity in Model Organisms (16 papers)Circadian rhythm and melatonin (14 papers)Cellular transport and secretion (7 papers)
- Cited by
- AgingCell BiologyPhysiology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesIrelandSwitzerland
In The Last Decade
Kevin M. Collins
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 608
- Molecular Biology 548
- Aging 250
- Endocrine and Autonomic Systems 198
- Physiology 145
Countries citing papers authored by Kevin M. Collins
This map shows the geographic impact of Kevin M. Collins'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 M. Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin M. Collins more than expected).
Fields of papers citing papers by Kevin M. Collins
This network shows the impact of papers produced by Kevin M. Collins. 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 M. Collins. The network helps show where Kevin M. Collins may publish in the future.
Co-authorship network of co-authors of Kevin M. Collins
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Collins. A scholar is included among the top collaborators of Kevin M. Collins 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 M. Collins. Kevin M. Collins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 17 | |
| 6 | 46 | |
| 7 | 12 | |
| 8 | 28 | |
| 9 | 41 | |
| 10 | 25 | |
| 11 | 40 | |
| 12 | A language driven approach to multi-system access control | 1 |
| 13 | 3 | |
| 14 | 28 | |
| 15 | 42 | |
| 16 | 71 | |
| 17 | 208 | |
| 18 | 25 | |
| 19 | 99 | |
| 20 | 88 |
About Kevin M. Collins
Kevin M. Collins is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Circadian rhythm and melatonin (14 papers) and Cellular transport and secretion (7 papers). The work is most often cited by research in Aging (250 citations), Cell Biology (608 citations) and Physiology (145 citations). Kevin M. Collins has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include William Wickner, Rutilio A. Fratti, Gabriel‐Miro Muntean, Christopher Stroupe, Michael R. Koelle, Alexey J. Merz, Li Wang, Andrew Olson, Jessica García‐González and Christopher M. Hickey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.