Stefan Peintner
Impact in
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- Computational Drug Discovery Methods
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- Antimicrobial Peptides and Activities
Papers in
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- Chemical Synthesis and Analysis 5
- Epigenetics and DNA Methylation 2
- Plant Toxicity and Pharmacological Properties 2
- RNA and protein synthesis mechanisms 1
- Ubiquitin and proteasome pathways 1
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- Click Chemistry and Applications 2
- Co-authors
- Máté Erdélyi (11 shared papers)Jan Kihlberg (7 shared papers)Vasanthanathan Poongavanam (6 shared papers)Lianne H. E. Wieske (3 shared papers)Emma Danelius (2 shared papers)Maxwell D. Cummings (1 shared paper)Paul C. D. Hawkins (1 shared paper)S. Włodek (1 shared paper)
In The Last Decade
Stefan Peintner
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 54
- Computational Theory and Mathematics 77
- Microbiology 21
- Molecular Biology 220
- Organic Chemistry 94
- Spectroscopy 38
Countries citing papers authored by Stefan Peintner
This map shows the geographic impact of Stefan Peintner'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 Stefan Peintner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Peintner more than expected).
Fields of papers citing papers by Stefan Peintner
This network shows the impact of papers produced by Stefan Peintner. 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 Stefan Peintner. The network helps show where Stefan Peintner may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Peintner, 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 | 2020 | 98 | |
| 2 | 2018 | 73 | |
| 3 | 2023 | 47 | |
| 4 | 2020 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 11 | |
| 8 | 2025 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 2 | |
| 13 | Macrocyclic peptides as inhibitors of human LSD1 | 2017 | 0 |
About Stefan Peintner
Stefan Peintner is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Computational Theory and Mathematics and Pharmacology, having authored 13 papers that have together received 310 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (2 papers), Molecular spectroscopy and chirality (2 papers), Epigenetics and DNA Methylation (2 papers), Computational Drug Discovery Methods (2 papers), Plant Toxicity and Pharmacological Properties (2 papers), RNA and protein synthesis mechanisms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Computational Theory and Mathematics (77 citations), Microbiology (21 citations), Molecular Biology (220 citations), Organic Chemistry (94 citations) and Spectroscopy (38 citations). Stefan Peintner has collaborated with scholars based in Sweden, Rwanda and Russia. Frequent co-authors include Máté Erdélyi, Jan Kihlberg, Vasanthanathan Poongavanam, Lianne H. E. Wieske, Emma Danelius, Maxwell D. Cummings, Paul C. D. Hawkins, S. Włodek, Lilian Alcaraz and Giulia Caron. Their work appears in journals such as European Journal of Organic Chemistry, Chemistry - A European Journal, ACS Omega, Nature Reviews Chemistry and The Journal of Organic 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.