Javier L. Baylon
- Molecular Biology
- Pharmacology top 5%
- Computational Theory and Mathematics top 5%
- Oncology
- Biochemistry top 10%
- Co-authors
- Emad TajkhorshidStephen G. SligarNicholas A. CilfoneJeffrey R. GulcherThomas W. ChittendenAditi DasYelena V. GrinkovaWilliam R. Arnold
- Topics
- Lipid Membrane Structure and Behavior (6 papers)Protein Structure and Dynamics (5 papers)Computational Drug Discovery Methods (5 papers)
- Journals
- Journal of the American Chemical SocietyNature CommunicationsThe Journal of Experimental Medicine
- Partner nations
- United StatesCzechiaJapan
In The Last Decade
Javier L. Baylon
21 papers receiving 766 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 448
- Pharmacology 163
- Computational Theory and Mathematics 119
- Oncology 94
- Biochemistry 71
Countries citing papers authored by Javier L. Baylon
This map shows the geographic impact of Javier L. Baylon'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 Javier L. Baylon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier L. Baylon more than expected).
Fields of papers citing papers by Javier L. Baylon
This network shows the impact of papers produced by Javier L. Baylon. 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 Javier L. Baylon. The network helps show where Javier L. Baylon may publish in the future.
Co-authorship network of co-authors of Javier L. Baylon
This figure shows the co-authorship network connecting the top 25 collaborators of Javier L. Baylon. A scholar is included among the top collaborators of Javier L. Baylon 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 Javier L. Baylon. Javier L. Baylon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 48 | |
| 7 | 80 | |
| 8 | 89 | |
| 9 | 13 | |
| 10 | 30 | |
| 11 | 21 | |
| 12 | 43 | |
| 13 | 35 | |
| 14 | 9 | |
| 15 | 35 | |
| 16 | 31 | |
| 17 | 45 | |
| 18 | 59 | |
| 19 | 28 | |
| 20 | 139 |
About Javier L. Baylon
Javier L. Baylon is a scholar working on Pharmacology, Computational Theory and Mathematics and Biochemistry, having authored 21 papers that have together received 776 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Protein Structure and Dynamics (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Pharmacology (163 citations), Biochemistry (71 citations) and Computational Theory and Mathematics (119 citations). Javier L. Baylon has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Emad Tajkhorshid, Stephen G. Sligar, Nicholas A. Cilfone, Jeffrey R. Gulcher, Thomas W. Chittenden, Aditi Das, Yelena V. Grinkova, William R. Arnold, Ilia G. Denisov and Josh V. Vermaas. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Experimental Medicine.
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.