Varnavas D. Mouchlis
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Biochemistry top 5%
- Organic Chemistry
- Pharmacology top 10%
- Co-authors
- Edward A. DennisAntreas AfantitisGeorgia MelagrakiJ. Andrew McCammonThomas MavromoustakosGeorge KokotosDaiki HayashiDenis Bucher
- Topics
- Protein Kinase Regulation and GTPase Signaling (18 papers)Computational Drug Discovery Methods (9 papers)Lipid Membrane Structure and Behavior (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAccounts of Chemical Research
- Partner nations
- United StatesGreeceCyprus
In The Last Decade
Varnavas D. Mouchlis
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 654
- Computational Theory and Mathematics 331
- Biochemistry 148
- Organic Chemistry 120
- Pharmacology 102
Countries citing papers authored by Varnavas D. Mouchlis
This map shows the geographic impact of Varnavas D. Mouchlis'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 Varnavas D. Mouchlis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varnavas D. Mouchlis more than expected).
Fields of papers citing papers by Varnavas D. Mouchlis
This network shows the impact of papers produced by Varnavas D. Mouchlis. 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 Varnavas D. Mouchlis. The network helps show where Varnavas D. Mouchlis may publish in the future.
Co-authorship network of co-authors of Varnavas D. Mouchlis
This figure shows the co-authorship network connecting the top 25 collaborators of Varnavas D. Mouchlis. A scholar is included among the top collaborators of Varnavas D. Mouchlis 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 Varnavas D. Mouchlis. Varnavas D. Mouchlis 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 | 6 | |
| 3 | 20 | |
| 4 | 11 | |
| 5 | 45 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 96 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 75 | |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 27 | |
| 17 | 30 | |
| 18 | 40 | |
| 19 | 23 | |
| 20 | 28 |
About Varnavas D. Mouchlis
Varnavas D. Mouchlis is a scholar working on Biochemistry, Computational Theory and Mathematics and Pharmacology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (18 papers), Computational Drug Discovery Methods (9 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Computational Theory and Mathematics (331 citations), Biochemistry (148 citations) and Molecular Biology (654 citations). Varnavas D. Mouchlis has collaborated with scholars based in United States, Greece and Cyprus. Frequent co-authors include Edward A. Dennis, Antreas Afantitis, Georgia Melagraki, J. Andrew McCammon, Thomas Mavromoustakos, George Kokotos, Daiki Hayashi, Denis Bucher, Dario Greco and Anastasios G. Papadiamantis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Accounts of Chemical Research.
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.