Simone Lederer
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
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- Computational Drug Discovery Methods
Papers in
-
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Tjeerd M. H. Dijkstra (2 shared papers)Tom Heskes (2 shared papers)Beryl Primrose Gladstone (1 shared paper)Nisar P. Malek (1 shared paper)Michael Bitzer (1 shared paper)Siri Goepel (1 shared paper)Stephanie D. Biergans (1 shared paper)Maik Kschischo (1 shared paper)
- Journals
- Frontiers in Pharmacology (2 papers)Cell (2 papers)Critical Care (1 paper)Nature Communications (1 paper)Journal of Personalized Medicine (1 paper)
- Partner nations
- GermanyNetherlandsIsrael
In The Last Decade
Simone Lederer
7 papers receiving 696 citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 289
- Computational Theory and Mathematics 168
- Health Informatics 9
- Modeling and Simulation 25
- Biophysics 27
Countries citing papers authored by Simone Lederer
This map shows the geographic impact of Simone Lederer'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 Simone Lederer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Lederer more than expected).
Fields of papers citing papers by Simone Lederer
This network shows the impact of papers produced by Simone Lederer. 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 Simone Lederer. The network helps show where Simone Lederer may publish in the future.
Co-authors
The 8 scholars most cited alongside Simone Lederer, 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 | 269 | |
| 2 | 2019 | 243 | |
| 3 | 2020 | 54 | |
| 4 | 2021 | 50 | |
| 5 | 2018 | 43 | |
| 6 | 2019 | 43 | |
| 7 | 2022 | 6 |
About Simone Lederer
Simone Lederer is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Modeling and Simulation, Animal Science and Zoology and Pollution, having authored 7 papers that have together received 708 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Computational Drug Discovery Methods (2 papers), Animal Virus Infections Studies (1 paper), COVID-19 epidemiological studies (1 paper), Virus-based gene therapy research (1 paper), Bioinformatics and Genomic Networks (1 paper) and Optimal Experimental Design Methods (1 paper). The work is most often cited by research in Infectious Diseases (289 citations), Computational Theory and Mathematics (168 citations), Health Informatics (9 citations), Modeling and Simulation (25 citations) and Biophysics (27 citations). Simone Lederer has collaborated with scholars based in Germany, Netherlands and Israel. Frequent co-authors include Tjeerd M. H. Dijkstra, Tom Heskes, Beryl Primrose Gladstone, Nisar P. Malek, Michael Bitzer, Siri Goepel, Stephanie D. Biergans and Maik Kschischo. Their work appears in journals such as Frontiers in Pharmacology, Cell, Critical Care, Nature Communications and Journal of Personalized Medicine.
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.