Adam Pecina
Impact in
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- Crystallography and molecular interactions
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 9
- Advanced biosensing and bioanalysis techniques 4
- RNA and protein synthesis mechanisms 3
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- Computational Drug Discovery Methods 9
- Co-authors
- Martin Lepšı́k (20 shared papers)Jindřich Fanfrlík (19 shared papers)Pavel Hobza (17 shared papers)Jan Řezáč (15 shared papers)Dráhomír Hnyk (5 shared papers)Michal H. Kolář (2 shared papers)Aleš Růžička (3 shared papers)Jan Macháček (2 shared papers)
- Journals
- ChemPlusChem (3 papers)Journal of Chemical Information and Modeling (3 papers)ChemPhysChem (2 papers)Angewandte Chemie International Edition (2 papers)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- CzechiaItalyUnited States
In The Last Decade
Adam Pecina
26 papers receiving 635 citations
Peers
Comparison fields: 5 of 73
- Physical and Theoretical Chemistry 224
- Computational Theory and Mathematics 131
- Toxicology 25
- Inorganic Chemistry 98
- Organic Chemistry 187
Countries citing papers authored by Adam Pecina
This map shows the geographic impact of Adam Pecina'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 Adam Pecina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Pecina more than expected).
Fields of papers citing papers by Adam Pecina
This network shows the impact of papers produced by Adam Pecina. 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 Adam Pecina. The network helps show where Adam Pecina may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam Pecina, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 124 | |
| 2 | 2013 | 74 | |
| 3 | 2016 | 50 | |
| 4 | 2013 | 42 | |
| 5 | 2020 | 34 | |
| 6 | 2015 | 32 | |
| 7 | 2017 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2024 | 29 | |
| 10 | 2018 | 28 | |
| 11 | 2014 | 27 | |
| 12 | 2014 | 26 | |
| 13 | 2020 | 23 | |
| 14 | 2014 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2015 | 9 | |
| 17 | 2015 | 7 | |
| 18 | 2011 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2018 | 6 |
About Adam Pecina
Adam Pecina is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Physical and Theoretical Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 643 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (9 papers), Boron Compounds in Chemistry (7 papers), Crystallography and molecular interactions (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), Boron and Carbon Nanomaterials Research (3 papers), Nanocluster Synthesis and Applications (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (224 citations), Computational Theory and Mathematics (131 citations), Toxicology (25 citations), Inorganic Chemistry (98 citations) and Organic Chemistry (187 citations). Adam Pecina has collaborated with scholars based in Czechia, Italy and United States. Frequent co-authors include Martin Lepšı́k, Jindřich Fanfrlík, Pavel Hobza, Jan Řezáč, Dráhomír Hnyk, Michal H. Kolář, Aleš Růžička, Jan Macháček, Josef Holub and Z. Padělková. Their work appears in journals such as ChemPlusChem, Journal of Chemical Information and Modeling, ChemPhysChem, Angewandte Chemie International Edition and European Journal of Medicinal Chemistry.
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.