Kevin R. Lynch
- Molecular Biology top 0.2%
- Sphingolipid Metabolism and Signaling 108
- Receptor Mechanisms and Signaling 41
- Lipid Membrane Structure and Behavior 39
- Protein Kinase Regulation and GTPase Signaling 22
- Physiology top 0.2%
- Cell Biology top 0.2%
- Cellular transport and secretion 22
- Endoplasmic Reticulum Stress and Disease 10
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology 19
- Neurology top 0.5%
-
- Renin-Angiotensin System Studies 16
- Co-authors
- Timothy L. MacdonaldBrian F. O’DowdM J PeachJeffrey K. HarrisonVolker BrinkmannMichael D. DavisChristopher E. HeiseSusan R. George
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Kevin R. Lynch
200 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 10.7k
- Physiology 621
- Cell Biology 2.2k
- Cellular and Molecular Neuroscience 2.2k
- Neurology 964
Countries citing papers authored by Kevin R. Lynch
This map shows the geographic impact of Kevin R. Lynch'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 R. Lynch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin R. Lynch more than expected).
Fields of papers citing papers by Kevin R. Lynch
This network shows the impact of papers produced by Kevin R. Lynch. 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 R. Lynch. The network helps show where Kevin R. Lynch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin R. Lynch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 15 | |
| 10 | 2018 | 6 | |
| 11 | 2009 | 48 | |
| 12 | 2008 | 56 | |
| 13 | 2008 | 208 | |
| 14 | 2008 | 82 | |
| 15 | 2005 | 21 | |
| 16 | 2001 | 225 | |
| 17 | 2001 | 170 | |
| 18 | Lysophospholipids and eicosanoids in biology and pathophysiology | 2000 | 17 |
| 19 | 2000 | 16 | |
| 20 | Identification and expression of G protein-coupled receptors | 1998 | 27 |
About Kevin R. Lynch
Kevin R. Lynch is a scholar working on Molecular Biology, Physiology and Cell Biology, having authored 202 papers that have together received 16.0k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (108 papers), Receptor Mechanisms and Signaling (41 papers), Lipid Membrane Structure and Behavior (39 papers), Protein Kinase Regulation and GTPase Signaling (22 papers), Cellular transport and secretion (22 papers), Neuropeptides and Animal Physiology (19 papers), Renin-Angiotensin System Studies (16 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). The work is most often cited by research in Molecular Biology (10.7k citations), Physiology (621 citations) and Cell Biology (2.2k citations). Kevin R. Lynch has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Timothy L. Macdonald, Brian F. O’Dowd, M J Peach, Jeffrey K. Harrison, Volker Brinkmann, Michael D. Davis, Christopher E. Heise, Susan R. George, Tuan Nguyen and Diane L. Rosin. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.