Cecilia Clementi
- Molecular Biology top 1%
- Materials Chemistry top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Computational Theory and Mathematics top 0.5%
- Spectroscopy top 1%
- Co-authors
- José N. OnuchicFrank NoéHugh NymeyerLydia E. KavrakiWenwei ZhengMary A. RohrdanzSilvina MatysiakPatricia A. Jennings
- Topics
- Protein Structure and Dynamics (71 papers)Enzyme Structure and Function (30 papers)Machine Learning in Materials Science (20 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Cecilia Clementi
108 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 5.2k
- Materials Chemistry 3.5k
- Atomic and Molecular Physics, and Optics 1.2k
- Computational Theory and Mathematics 744
- Spectroscopy 663
Countries citing papers authored by Cecilia Clementi
This map shows the geographic impact of Cecilia Clementi'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 Cecilia Clementi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cecilia Clementi more than expected).
Fields of papers citing papers by Cecilia Clementi
This network shows the impact of papers produced by Cecilia Clementi. 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 Cecilia Clementi. The network helps show where Cecilia Clementi may publish in the future.
Co-authorship network of co-authors of Cecilia Clementi
This figure shows the co-authorship network connecting the top 25 collaborators of Cecilia Clementi. A scholar is included among the top collaborators of Cecilia Clementi 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 Cecilia Clementi. Cecilia Clementi 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 | 2 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 33 | |
| 6 | 41 | |
| 7 | 35 | |
| 8 | 38 | |
| 9 | 13 | |
| 10 | 18 | |
| 11 | 68 | |
| 12 | 5 | |
| 13 | 18 | |
| 14 | 32 | |
| 15 | 48 | |
| 16 | 8 | |
| 17 | 139 | |
| 18 | How native state topology affects the folding of Dihydrofolate Reductase and Interleukin-1β | 7 |
| 19 | 21 | |
| 20 | 0 |
About Cecilia Clementi
Cecilia Clementi is a scholar working on Structural Biology, Molecular Biology and Materials Chemistry, having authored 110 papers that have together received 7.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (71 papers), Enzyme Structure and Function (30 papers) and Machine Learning in Materials Science (20 papers). The work is most often cited by research in Materials Chemistry (3.5k citations), Molecular Biology (5.2k citations) and Structural Biology (77 citations). Cecilia Clementi has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include José N. Onuchic, Frank Noé, Hugh Nymeyer, Lydia E. Kavraki, Wenwei Zheng, Mary A. Rohrdanz, Silvina Matysiak, Patricia A. Jennings, Payel Das and Marco Pettini. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.