Emanuele Perola
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 9
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases 6
- Molecular Biology top 5%
- Protein Structure and Dynamics 5
- Cancer therapeutics and mechanisms 4
- RNA and protein synthesis mechanisms 4
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 3
- Virology top 5%
-
- Chemical synthesis and alkaloids 5
- Click Chemistry and Applications 3
- Co-authors
- Paul S. CharifsonW. Patrick WaltersDoriano LambaYuan‐Ping PangLuciano CellaiCecilia BartolucciKun XuFranklyn G. Prendergast
- Journals
- Angewandte Chemie International Edition (1 paper)The EMBO Journal (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Emanuele Perola
33 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 993
- Pharmacology 418
- Molecular Biology 1.3k
- Infectious Diseases 354
- Virology 82
Countries citing papers authored by Emanuele Perola
This map shows the geographic impact of Emanuele Perola'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 Emanuele Perola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Perola more than expected).
Fields of papers citing papers by Emanuele Perola
This network shows the impact of papers produced by Emanuele Perola. 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 Emanuele Perola. The network helps show where Emanuele Perola may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emanuele Perola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2017 | 9 | |
| 3 | 2015 | 203 | |
| 4 | 2015 | 26 | |
| 5 | 2014 | 149 | |
| 6 | 2014 | 8 | |
| 7 | 2012 | 12 | |
| 8 | 2012 | 13 | |
| 9 | 2010 | 139 | |
| 10 | 2007 | 26 | |
| 11 | 2004 | 363 | |
| 12 | 2001 | 74 | |
| 13 | 2001 | 27 | |
| 14 | 2000 | 124 | |
| 15 | 1999 | 36 | |
| 16 | 1999 | 12 | |
| 17 | 1998 | 1 | |
| 18 | 1997 | 52 | |
| 19 | 1995 | 22 | |
| 20 | 1995 | 81 |
About Emanuele Perola
Emanuele Perola is a scholar working on Toxicology, Computational Theory and Mathematics and Virology, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Protein Structure and Dynamics (5 papers), Chemical synthesis and alkaloids (5 papers), Cancer therapeutics and mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers), Click Chemistry and Applications (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Computational Theory and Mathematics (993 citations), Pharmacology (418 citations) and Molecular Biology (1.3k citations). Emanuele Perola has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Paul S. Charifson, W. Patrick Walters, Doriano Lamba, Yuan‐Ping Pang, Luciano Cellai, Cecilia Bartolucci, Kun Xu, Franklyn G. Prendergast, Tiansheng Wang and Mario Brufani. Their work appears in journals such as Angewandte Chemie International Edition, The EMBO Journal and Biochemistry.
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.