Catherine H. Berlot
- Molecular Biology top 5%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 5%
- Public Health, Environmental and Occupational Health top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Galina GrishinaHenry R. BourneThomas R. HynesEvan A. YostJanet D. RobishawJonathan L. SaboPeter N. DevreotesThomas E. Hughes
- Topics
- Protein Kinase Regulation and GTPase Signaling (14 papers)Receptor Mechanisms and Signaling (13 papers)Advanced Fluorescence Microscopy Techniques (7 papers)
- Partner nations
- United StatesGermanyUkraine
In The Last Decade
Catherine H. Berlot
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.5k
- Cell Biology 583
- Cellular and Molecular Neuroscience 504
- Public Health, Environmental and Occupational Health 166
- Cardiology and Cardiovascular Medicine 145
Countries citing papers authored by Catherine H. Berlot
This map shows the geographic impact of Catherine H. Berlot'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 Catherine H. Berlot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine H. Berlot more than expected).
Fields of papers citing papers by Catherine H. Berlot
This network shows the impact of papers produced by Catherine H. Berlot. 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 Catherine H. Berlot. The network helps show where Catherine H. Berlot may publish in the future.
Co-authorship network of co-authors of Catherine H. Berlot
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine H. Berlot. A scholar is included among the top collaborators of Catherine H. Berlot 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 Catherine H. Berlot. Catherine H. Berlot 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 | 5 | |
| 3 | 6 | |
| 4 | 74 | |
| 5 | 33 | |
| 6 | 27 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 36 | |
| 10 | 84 | |
| 11 | 88 | |
| 12 | 95 | |
| 13 | 65 | |
| 14 | 6 | |
| 15 | 42 | |
| 16 | 1 | |
| 17 | 41 | |
| 18 | 105 | |
| 19 | 49 | |
| 20 | 43 |
About Catherine H. Berlot
Catherine H. Berlot is a scholar working on Biophysics, Physiology and Aging, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), Receptor Mechanisms and Signaling (13 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). The work is most often cited by research in Cell Biology (583 citations), Cellular and Molecular Neuroscience (504 citations) and Molecular Biology (1.5k citations). Catherine H. Berlot has collaborated with scholars based in United States, Germany and Ukraine. Frequent co-authors include Galina Grishina, Henry R. Bourne, Thomas R. Hynes, Evan A. Yost, Janet D. Robishaw, Jonathan L. Sabo, Peter N. Devreotes, Thomas E. Hughes, James A. Spudich and Hailin Zhang. Their work appears in journals such as Cell, 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.