Florian Leidner
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- HIV/AIDS drug development and treatment 10
-
- Biochemical and Molecular Research 4
- Protein Structure and Dynamics 3
- Co-authors
- Neşe Kurt Yılmaz (13 shared papers)Celia A. Schiffer (13 shared papers)E.A. Nalivaika (5 shared papers)Janet L. Paulsen (3 shared papers)M. Henes (5 shared papers)Akbar Ali (4 shared papers)G.J. Lockbaum (5 shared papers)Shurong Hou (3 shared papers)
- Journals
- Journal of Chemical Theory and Computation (4 papers)Journal of Chemical Information and Modeling (2 papers)ACS Chemical Biology (2 papers)Nature Communications (1 paper)Acta Crystallographica Section D Structural Biology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Florian Leidner
16 papers receiving 267 citations
Peers
Comparison fields: 5 of 49
- Virology 96
- Infectious Diseases 145
- Hepatology 45
- Computational Theory and Mathematics 41
- Molecular Biology 115
Countries citing papers authored by Florian Leidner
This map shows the geographic impact of Florian Leidner'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 Florian Leidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Leidner more than expected).
Fields of papers citing papers by Florian Leidner
This network shows the impact of papers produced by Florian Leidner. 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 Florian Leidner. The network helps show where Florian Leidner may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Leidner, 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 | 56 | |
| 2 | 2019 | 33 | |
| 3 | 2018 | 28 | |
| 4 | 2018 | 25 | |
| 5 | 2019 | 22 | |
| 6 | 2017 | 21 | |
| 7 | 2018 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 |
About Florian Leidner
Florian Leidner is a scholar working on Infectious Diseases, Molecular Biology, Virology, Hepatology and Epidemiology, having authored 17 papers that have together received 270 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (10 papers), HIV Research and Treatment (5 papers), Hepatitis C virus research (5 papers), Biochemical and Molecular Research (4 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Cellular transport and secretion (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Virology (96 citations), Infectious Diseases (145 citations), Hepatology (45 citations), Computational Theory and Mathematics (41 citations) and Molecular Biology (115 citations). Florian Leidner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Neşe Kurt Yılmaz, Celia A. Schiffer, E.A. Nalivaika, Janet L. Paulsen, M. Henes, Akbar Ali, G.J. Lockbaum, Shurong Hou, L.N. Rusere and Yves A. Muller. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling, ACS Chemical Biology, Nature Communications and Acta Crystallographica Section D Structural Biology.
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.