Jean Richelle
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Cell Biology top 10%
- Infectious Diseases top 10%
- Plant Science
- Co-authors
- Shoshana J. WodakAlain GhysenMarianne RoomanAlexander WlodawerRené ThomasMartine PrévostIrene T. WeberClare Sansom
- Topics
- Protein Structure and Dynamics (7 papers)Enzyme Structure and Function (7 papers)Gene Regulatory Network Analysis (3 papers)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Jean Richelle
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.3k
- Materials Chemistry 515
- Cell Biology 144
- Infectious Diseases 139
- Plant Science 131
Countries citing papers authored by Jean Richelle
This map shows the geographic impact of Jean Richelle'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 Jean Richelle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Richelle more than expected).
Fields of papers citing papers by Jean Richelle
This network shows the impact of papers produced by Jean Richelle. 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 Jean Richelle. The network helps show where Jean Richelle may publish in the future.
Co-authorship network of co-authors of Jean Richelle
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Richelle. A scholar is included among the top collaborators of Jean Richelle 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 Jean Richelle. Jean Richelle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | SFCHECK: a unified set of procedures for evaluating the quality of macromolecular structure-factor data and their agreement with the atomic modelbreakdown → | 760 |
| 4 | 85 | |
| 5 | Deviations from Standard Atomic Volumes as a Quality Measure for Protein Crystal Structuresbreakdown → | 550 |
| 6 | 5 | |
| 7 | 59 | |
| 8 | 8 | |
| 9 | 57 | |
| 10 | 62 | |
| 11 | 33 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 41 | |
| 17 | 35 |
About Jean Richelle
Jean Richelle is a scholar working on Theoretical Computer Science, Virology and Computational Theory and Mathematics, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (7 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Virology (59 citations) and Biotechnology (101 citations). Jean Richelle has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Shoshana J. Wodak, Alain Ghysen, Marianne Rooman, Alexander Wlodawer, René Thomas, Martine Prévost, Irene T. Weber, Clare Sansom, Lu Liu and Clive N.A. Trotman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics 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.