Julien Michel
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 5%
- Organic Chemistry top 5%
- Oncology top 5%
- Co-authors
- Jonathan W. EssexWilliam L. JorgensenJulian Tirado‐RivesAntonia S. J. S. MeyPiet GrosChristopher WoodsCraig M. CrewsInge Van Molle
- Topics
- Protein Structure and Dynamics (46 papers)Computational Drug Discovery Methods (22 papers)Enzyme Structure and Function (15 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryThe Journal of Chemical Physics
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Julien Michel
77 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.9k
- Computational Theory and Mathematics 1.0k
- Materials Chemistry 752
- Organic Chemistry 607
- Oncology 606
Countries citing papers authored by Julien Michel
This map shows the geographic impact of Julien Michel'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 Julien Michel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Michel more than expected).
Fields of papers citing papers by Julien Michel
This network shows the impact of papers produced by Julien Michel. 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 Julien Michel. The network helps show where Julien Michel may publish in the future.
Co-authorship network of co-authors of Julien Michel
This figure shows the co-authorship network connecting the top 25 collaborators of Julien Michel. A scholar is included among the top collaborators of Julien Michel 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 Julien Michel. Julien Michel 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 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 82 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 26 | |
| 14 | 11 | |
| 15 | 80 | |
| 16 | 40 | |
| 17 | 63 | |
| 18 | 193 | |
| 19 | 42 | |
| 20 | 53 |
About Julien Michel
Julien Michel is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 79 papers that have together received 3.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (46 papers), Computational Drug Discovery Methods (22 papers) and Enzyme Structure and Function (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Molecular Biology (2.9k citations) and Oncology (606 citations). Julien Michel has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jonathan W. Essex, William L. Jorgensen, Julian Tirado‐Rives, Antonia S. J. S. Mey, Piet Gros, Christopher Woods, Craig M. Crews, Inge Van Molle, Alessio Ciulli and Dennis L. Buckley. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Chemical Physics.
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.