Vincent M. Coghlan
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Oncology
- Co-authors
- John D. ScottLarry E. VickeryLorene K. LangebergJames HicksBrian A. PerrinoMonique HowardW. Michael GallatinLarry W. Cohen
- Topics
- Protein Kinase Regulation and GTPase Signaling (9 papers)Signaling Pathways in Disease (8 papers)Mitochondrial Function and Pathology (4 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Vincent M. Coghlan
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 239
- Cell Biology 222
- Cardiology and Cardiovascular Medicine 147
- Oncology 146
Countries citing papers authored by Vincent M. Coghlan
This map shows the geographic impact of Vincent M. Coghlan'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 Vincent M. Coghlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent M. Coghlan more than expected).
Fields of papers citing papers by Vincent M. Coghlan
This network shows the impact of papers produced by Vincent M. Coghlan. 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 Vincent M. Coghlan. The network helps show where Vincent M. Coghlan may publish in the future.
Co-authorship network of co-authors of Vincent M. Coghlan
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent M. Coghlan. A scholar is included among the top collaborators of Vincent M. Coghlan 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 Vincent M. Coghlan. Vincent M. Coghlan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 19 | |
| 3 | 58 | |
| 4 | 53 | |
| 5 | 168 | |
| 6 | 40 | |
| 7 | 92 | |
| 8 | 68 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 40 | |
| 12 | 35 | |
| 13 | 101 | |
| 14 | 26 | |
| 15 | 43 | |
| 16 | 24 | |
| 17 | 138 | |
| 18 | 51 | |
| 19 | 25 | |
| 20 | 159 |
About Vincent M. Coghlan
Vincent M. Coghlan is a scholar working on Pharmacology, Molecular Biology and Biophysics, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Signaling Pathways in Disease (8 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cell Biology (222 citations) and Cellular and Molecular Neuroscience (239 citations). Vincent M. Coghlan has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include John D. Scott, Larry E. Vickery, Lorene K. Langeberg, James Hicks, Brian A. Perrino, Monique Howard, W. Michael Gallatin, Larry W. Cohen, Z.E. Hausken and Marceen Glavic Newlon. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.