Xavier Morelli
Impact in
-
- Computational Drug Discovery Methods
- Virology top 5%
Papers in
-
- Protein Structure and Dynamics 10
- Chemical Synthesis and Analysis 9
- Photosynthetic Processes and Mechanisms 6
-
- Computational Drug Discovery Methods 14
- Co-authors
- Philippe Roche (25 shared papers)S. Betzi (24 shared papers)Raphaël Bourgeas (4 shared papers)Françoise Guerlesquin (15 shared papers)Alan C. Rigby (4 shared papers)Marianne A. Grant (2 shared papers)Yves Collette (13 shared papers)Laurent Hoffer (12 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)Journal of Biological Chemistry (6 papers)FEBS Letters (5 papers)Biochemical Journal (3 papers)PLoS ONE (2 papers)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Xavier Morelli
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 506
- Virology 94
- Molecular Biology 1.2k
- Infectious Diseases 253
- Hematology 131
Countries citing papers authored by Xavier Morelli
This map shows the geographic impact of Xavier Morelli'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 Xavier Morelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Morelli more than expected).
Fields of papers citing papers by Xavier Morelli
This network shows the impact of papers produced by Xavier Morelli. 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 Xavier Morelli. The network helps show where Xavier Morelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Xavier Morelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 186 | |
| 2 | 2011 | 164 | |
| 3 | 2014 | 157 | |
| 4 | 2012 | 117 | |
| 5 | 2010 | 92 | |
| 6 | 2007 | 85 | |
| 7 | 2016 | 71 | |
| 8 | 2016 | 57 | |
| 9 | 2010 | 55 | |
| 10 | 2018 | 53 | |
| 11 | 2000 | 50 | |
| 12 | 2010 | 44 | |
| 13 | 2001 | 42 | |
| 14 | 2009 | 40 | |
| 15 | 2020 | 40 | |
| 16 | 2000 | 38 | |
| 17 | 2018 | 38 | |
| 18 | 2003 | 33 | |
| 19 | 2015 | 33 | |
| 20 | 2017 | 32 |
About Xavier Morelli
Xavier Morelli is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Cell Biology and Materials Chemistry, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (10 papers), Click Chemistry and Applications (9 papers), Chemical Synthesis and Analysis (9 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Microbial Natural Products and Biosynthesis (6 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Computational Theory and Mathematics (506 citations), Virology (94 citations), Molecular Biology (1.2k citations), Infectious Diseases (253 citations) and Hematology (131 citations). Xavier Morelli has collaborated with scholars based in France, China and United States. Frequent co-authors include Philippe Roche, S. Betzi, Raphaël Bourgeas, Françoise Guerlesquin, Alan C. Rigby, Marianne A. Grant, Yves Collette, Laurent Hoffer, Adrien Lugari and Mingdong Huang. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, FEBS Letters, Biochemical Journal and PLoS ONE.
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.