Kevin J. Lynch
- Physiology top 0.2%
- Molecular Biology
- Surgery top 10%
- Endocrine and Autonomic Systems top 2%
- Physiology top 10%
- Co-authors
- Michael F. JarvisHao ChenEdward C. BurgardWende NiforatosTim van BiesenElizabeth A. KowalukRichard J. FrisqueEdward Touma
- Topics
- Adenosine and Purinergic Signaling (14 papers)Neuroscience of respiration and sleep (9 papers)Semantic Web and Ontologies (5 papers)
- Partner nations
- United StatesUnited KingdomLatvia
In The Last Decade
Kevin J. Lynch
52 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 131
- Physiology 845
- Molecular Biology 565
- Surgery 392
- Endocrine and Autonomic Systems 377
- Physiology 312
Countries citing papers authored by Kevin J. Lynch
This map shows the geographic impact of Kevin J. 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 J. 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 J. Lynch more than expected).
Fields of papers citing papers by Kevin J. Lynch
This network shows the impact of papers produced by Kevin J. 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 J. Lynch. The network helps show where Kevin J. Lynch may publish in the future.
Co-authorship network of co-authors of Kevin J. Lynch
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Lynch. A scholar is included among the top collaborators of Kevin J. Lynch 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 J. Lynch. Kevin J. Lynch 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 | 11 | |
| 3 | The Lock-In Effect of Preliminary Injunctions | 1 |
| 4 | Application of the Public Trust Doctrine to Modern Fishery Management Regimes | 0 |
| 5 | How Irish Political Parties are Using SNS to Reach Generation Z: An Insight into a New Online Social Network in a Small Democracy | 3 |
| 6 | When Staying Discovery Stays Justice: Analyzing Motions to Stay Discovery When a Motion to Dismiss is Pending | 1 |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 17 | |
| 10 | 190 | |
| 11 | 97 | |
| 12 | 62 | |
| 13 | 31 | |
| 14 | 284 | |
| 15 | 76 | |
| 16 | 27 | |
| 17 | 99 | |
| 18 | 51 | |
| 19 | CROSS-CULTURAL INFORMATION TECHNOLOGY RESEARCH: THE CASE OF EASTERN EUROPE AND THE USSR | 6 |
| 20 | 96 |
About Kevin J. Lynch
Kevin J. Lynch is a scholar working on Physiology, Endocrine and Autonomic Systems and Information Systems and Management, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), Neuroscience of respiration and sleep (9 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Physiology (845 citations), Endocrine and Autonomic Systems (377 citations) and Endocrinology, Diabetes and Metabolism (297 citations). Kevin J. Lynch has collaborated with scholars based in United States, United Kingdom and Latvia. Frequent co-authors include Michael F. Jarvis, Hao Chen, Edward C. Burgard, Wende Niforatos, Tim van Biesen, Elizabeth A. Kowaluk, Richard J. Frisque, Edward Touma, Karen Kage and Michael Jaye. Their work appears in journals such as Nature Genetics, Journal of Virology and Journal of Neurophysiology.
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.