Manuel Sellner
Impact in
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- Computational Drug Discovery Methods
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Computational Drug Discovery Methods 7
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- Synthesis and biological activity 2
- Click Chemistry and Applications 1
- Co-authors
- Martin Smieško (8 shared papers)André Fischer (7 shared papers)Markus A. Lill (6 shared papers)Amr H. Mahmoud (1 shared paper)Alex Odermatt (1 shared paper)Anton M. Jetten (1 shared paper)Maria Bzówka (2 shared papers)Artur Góra (2 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)PLoS ONE (1 paper)Journal of Medicinal Chemistry (1 paper)Journal of Cheminformatics (1 paper)Journal of Biomolecular Structure and Dynamics (1 paper)
- Partner nations
- SwitzerlandPolandUnited States
In The Last Decade
Manuel Sellner
9 papers receiving 340 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 169
- Infectious Diseases 67
- Pharmacology 32
- Molecular Biology 163
- Organic Chemistry 64
Countries citing papers authored by Manuel Sellner
This map shows the geographic impact of Manuel Sellner'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 Manuel Sellner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Sellner more than expected).
Fields of papers citing papers by Manuel Sellner
This network shows the impact of papers produced by Manuel Sellner. 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 Manuel Sellner. The network helps show where Manuel Sellner may publish in the future.
Co-authors
The 13 scholars most cited alongside Manuel Sellner, 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 | 2021 | 164 | |
| 2 | 2020 | 128 | |
| 3 | 2021 | 20 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2022 | 3 |
About Manuel Sellner
Manuel Sellner is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Pharmacology, Immunology and Genetics, having authored 9 papers that have together received 343 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Pharmacological Effects of Natural Compounds (2 papers), Synthesis and biological activity (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Click Chemistry and Applications (1 paper), Estrogen and related hormone effects (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (169 citations), Infectious Diseases (67 citations), Pharmacology (32 citations), Molecular Biology (163 citations) and Organic Chemistry (64 citations). Manuel Sellner has collaborated with scholars based in Switzerland, Poland and United States. Frequent co-authors include Martin Smieško, André Fischer, Markus A. Lill, Amr H. Mahmoud, Alex Odermatt, Anton M. Jetten, Maria Bzówka, Artur Góra, Veronika Butterweck and Jakob K. Reinhardt. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Journal of Medicinal Chemistry, Journal of Cheminformatics and Journal of Biomolecular Structure and Dynamics.
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.