James C. Myslik
- Molecular Biology top 10%
- Cell Biology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Co-authors
- Uno LindbergClarence E. SchuttMichael D. RozyckiNalin C. W. GoonesekereEugene C. PetrellaE. R. GrafMichael W. PantolianoVictor S. Lobanov
- Topics
- Computational Drug Discovery Methods (5 papers)Cellular Mechanics and Interactions (5 papers)Force Microscopy Techniques and Applications (3 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
James C. Myslik
11 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 965
- Cell Biology 546
- Cardiology and Cardiovascular Medicine 287
- Materials Chemistry 198
- Computational Theory and Mathematics 158
Countries citing papers authored by James C. Myslik
This map shows the geographic impact of James C. Myslik'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 James C. Myslik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James C. Myslik more than expected).
Fields of papers citing papers by James C. Myslik
This network shows the impact of papers produced by James C. Myslik. 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 James C. Myslik. The network helps show where James C. Myslik may publish in the future.
Co-authorship network of co-authors of James C. Myslik
This figure shows the co-authorship network connecting the top 25 collaborators of James C. Myslik. A scholar is included among the top collaborators of James C. Myslik 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 James C. Myslik. James C. Myslik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | High-Density Miniaturized Thermal Shift Assays as a General Strategy for Drug Discoverybreakdown → | 704 |
| 3 | 22 | |
| 4 | 41 | |
| 5 | 32 | |
| 6 | 18 | |
| 7 | 31 | |
| 8 | 68 | |
| 9 | The structure of crystalline profilin–β-actinbreakdown → | 558 |
| 10 | 84 | |
| 11 | 17 |
About James C. Myslik
James C. Myslik is a scholar working on Computational Theory and Mathematics, Cell Biology and Surfaces, Coatings and Films, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Cellular Mechanics and Interactions (5 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Cell Biology (546 citations), Biophysics (110 citations) and Immunology and Allergy (93 citations). James C. Myslik has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Uno Lindberg, Clarence E. Schutt, Michael D. Rozycki, Nalin C. W. Goonesekere, Eugene C. Petrella, E. R. Graf, Michael W. Pantoliano, Victor S. Lobanov, Pamela Lane and Barry A. Springer. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Molecular Biology.
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.