András Perczel
Impact in
- Spectroscopy top 0.5%
- Molecular spectroscopy and chirality
- Mass Spectrometry Techniques and Applications
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- Crystallography and molecular interactions
Papers in
- Spectroscopy 55
- Molecular spectroscopy and chirality 35
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- Protein Structure and Dynamics 111
- Chemical Synthesis and Analysis 92
- RNA and protein synthesis mechanisms 25
- Glycosylation and Glycoproteins Research 20
- Co-authors
- Imre G. CsizmadiaGerald D. FasmanÖdön FarkasAttila G. CsászárMichael A. McAllisterZoltán GáspáriTamás Beke‐SomfaiWládia Viviani
- Journals
- Chemistry - A European Journal (15 papers)Journal of Computational Chemistry (14 papers)Journal of the American Chemical Society (12 papers)Biochemistry (7 papers)Chemical Physics Letters (7 papers)
- Partner nations
- HungaryCanadaUnited States
In The Last Decade
András Perczel
249 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 133
- Spectroscopy 1.1k
- Physical and Theoretical Chemistry 570
- Molecular Biology 4.1k
- Organic Chemistry 1.0k
- Microbiology 214
Countries citing papers authored by András Perczel
This map shows the geographic impact of András Perczel'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 András Perczel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Perczel more than expected).
Fields of papers citing papers by András Perczel
This network shows the impact of papers produced by András Perczel. 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 András Perczel. The network helps show where András Perczel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside András Perczel, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 1 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2010 | 2 | |
| 15 | 2010 | 15 | |
| 16 | 2007 | 13 | |
| 17 | 2004 | 34 | |
| 18 | 2004 | 14 | |
| 19 | 2000 | 31 | |
| 20 | 1999 | 143 |
About András Perczel
András Perczel is a scholar working on Spectroscopy, Molecular Biology, Physical and Theoretical Chemistry, Organic Chemistry and Biomaterials, having authored 254 papers that have together received 5.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (111 papers), Chemical Synthesis and Analysis (92 papers), Enzyme Structure and Function (51 papers), Molecular spectroscopy and chirality (35 papers), Carbohydrate Chemistry and Synthesis (27 papers), RNA and protein synthesis mechanisms (25 papers), Glycosylation and Glycoproteins Research (20 papers) and Crystallography and molecular interactions (19 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Physical and Theoretical Chemistry (570 citations), Molecular Biology (4.1k citations), Organic Chemistry (1.0k citations) and Microbiology (214 citations). András Perczel has collaborated with scholars based in Hungary, Canada and United States. Frequent co-authors include Imre G. Csizmadia, Gerald D. Fasman, Ödön Farkas, Attila G. Császár, Michael A. McAllister, Zoltán Gáspári, Tamás Beke‐Somfai, Wládia Viviani, M. Hollósi and Pál Császár. Their work appears in journals such as Chemistry - A European Journal, Journal of Computational Chemistry, Journal of the American Chemical Society, Biochemistry and Chemical Physics Letters.
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.