Enrico Guarnera
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Physiology top 10%
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Igor N. BerezovskyWei-Ven TeeZhen Wah TanRiccardo PellarinAmedeo CaflischIgor V. KurochkinPhilipp SchüetzFrank Eisenhaber
- Topics
- Protein Structure and Dynamics (22 papers)RNA and protein synthesis mechanisms (13 papers)Computational Drug Discovery Methods (12 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchThe Journal of Chemical Physics
- Partner nations
- SingaporeGermanySwitzerland
In The Last Decade
Enrico Guarnera
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.3k
- Computational Theory and Mathematics 462
- Physiology 302
- Materials Chemistry 187
- Radiology, Nuclear Medicine and Imaging 124
Countries citing papers authored by Enrico Guarnera
This map shows the geographic impact of Enrico Guarnera'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 Enrico Guarnera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Guarnera more than expected).
Fields of papers citing papers by Enrico Guarnera
This network shows the impact of papers produced by Enrico Guarnera. 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 Enrico Guarnera. The network helps show where Enrico Guarnera may publish in the future.
Co-authorship network of co-authors of Enrico Guarnera
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Guarnera. A scholar is included among the top collaborators of Enrico Guarnera 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 Enrico Guarnera. Enrico Guarnera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 27 | |
| 7 | 18 | |
| 8 | 29 | |
| 9 | 1 | |
| 10 | 84 | |
| 11 | 30 | |
| 12 | 41 | |
| 13 | 69 | |
| 14 | 71 | |
| 15 | 84 | |
| 16 | 108 | |
| 17 | 39 | |
| 18 | 122 | |
| 19 | 47 | |
| 20 | 117 |
About Enrico Guarnera
Enrico Guarnera is a scholar working on Computational Theory and Mathematics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), RNA and protein synthesis mechanisms (13 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Computational Theory and Mathematics (462 citations), Molecular Biology (1.3k citations) and Physiology (302 citations). Enrico Guarnera has collaborated with scholars based in Singapore, Germany and Switzerland. Frequent co-authors include Igor N. Berezovsky, Wei-Ven Tee, Zhen Wah Tan, Riccardo Pellarin, Amedeo Caflisch, Igor V. Kurochkin, Philipp Schüetz, Frank Eisenhaber, Birgit Eisenhaber and Félix Naef. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research 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.