Tina Ritschel
-
- Computational Drug Discovery Methods 6
- Infectious Diseases top 10%
-
- RNA and protein synthesis mechanisms 10
- Chemical Synthesis and Analysis 4
- RNA modifications and cancer 4
- Pharmacology top 10%
-
- Respiratory viral infections research 3
-
- Bacterial Genetics and Biotechnology 4
-
- Monoclonal and Polyclonal Antibodies Research 4
-
- Enzyme Structure and Function 4
- Co-authors
- Frans G. M. RüsselG. KlebeRoss McGuireTom J.J. SchirrisJan SmeıtınkNicolas FoloppeJ. KelderValère Lounnas
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Angewandte Chemie International Edition (2 papers)Nature Communications (2 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Tina Ritschel
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 223
- Infectious Diseases 183
- Molecular Biology 627
- Pharmacology 66
- Epidemiology 145
Countries citing papers authored by Tina Ritschel
This map shows the geographic impact of Tina Ritschel'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 Tina Ritschel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Ritschel more than expected).
Fields of papers citing papers by Tina Ritschel
This network shows the impact of papers produced by Tina Ritschel. 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 Tina Ritschel. The network helps show where Tina Ritschel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tina Ritschel, 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 | 2024 | 13 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 25 | |
| 4 | 2021 | 111 | |
| 5 | 2019 | 13 | |
| 6 | 2018 | 54 | |
| 7 | 2016 | 36 | |
| 8 | 2015 | 17 | |
| 9 | 2015 | 169 | |
| 10 | 2015 | 13 | |
| 11 | 2014 | 7 | |
| 12 | 2014 | 0 | |
| 13 | 2013 | 10 | |
| 14 | 2013 | 149 | |
| 15 | 2012 | 19 | |
| 16 | 2009 | 25 | |
| 17 | 2009 | 20 | |
| 18 | 2009 | 36 | |
| 19 | 2009 | 27 | |
| 20 | 2007 | 42 |
About Tina Ritschel
Tina Ritschel is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Molecular Biology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (4 papers), RNA modifications and cancer (4 papers), Bacterial Genetics and Biotechnology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Structure and Function (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (223 citations), Infectious Diseases (183 citations) and Molecular Biology (627 citations). Tina Ritschel has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Frans G. M. Rüssel, G. Klebe, Ross McGuire, Tom J.J. Schirris, Jan Smeıtınk, Nicolas Foloppe, J. Kelder, Valère Lounnas, Robert P. Bywater and François Diederich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.