André Richters
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Lung Cancer Research Studies
Papers in
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- Computational Drug Discovery Methods 6
-
- Protein Kinase Regulation and GTPase Signaling 8
- Protein Degradation and Inhibitors 2
- Protein Structure and Dynamics 2
- Fibroblast Growth Factor Research 2
- Co-authors
- Daniel Rauh (15 shared papers)Donate Weghorn (1 shared paper)Brendan Michael Reardon (1 shared paper)Amaro N Taylor-Weiner (1 shared paper)David Liu (1 shared paper)Eric S. Lander (1 shared paper)Felix Dietlein (1 shared paper)Shamil R. Sunyaev (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)ACS Chemical Biology (4 papers)Angewandte Chemie International Edition (3 papers)Cell (2 papers)Cell chemical biology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
André Richters
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 72
- Cancer Research 166
- Oncology 241
- Computational Theory and Mathematics 176
- Molecular Biology 545
- Pulmonary and Respiratory Medicine 238
Countries citing papers authored by André Richters
This map shows the geographic impact of André Richters'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 André Richters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Richters more than expected).
Fields of papers citing papers by André Richters
This network shows the impact of papers produced by André Richters. 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 André Richters. The network helps show where André Richters may publish in the future.
Co-authors
The 25 scholars most cited alongside André Richters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 167 | |
| 2 | 2012 | 156 | |
| 3 | 2015 | 112 | |
| 4 | 2015 | 103 | |
| 5 | 2015 | 102 | |
| 6 | 2013 | 87 | |
| 7 | 2010 | 73 | |
| 8 | 2015 | 67 | |
| 9 | 2020 | 66 | |
| 10 | 2017 | 65 | |
| 11 | 2017 | 58 | |
| 12 | 2014 | 54 | |
| 13 | 2017 | 46 | |
| 14 | 2013 | 44 | |
| 15 | 2015 | 42 | |
| 16 | 2017 | 36 | |
| 17 | 2014 | 34 | |
| 18 | 2017 | 28 | |
| 19 | 2013 | 26 | |
| 20 | 2014 | 24 |
About André Richters
André Richters is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Organic Chemistry, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Lung Cancer Treatments and Mutations (6 papers), Computational Drug Discovery Methods (6 papers), Synthesis and biological activity (4 papers), Protein Degradation and Inhibitors (2 papers), Autophagy in Disease and Therapy (2 papers), Protein Structure and Dynamics (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (166 citations), Oncology (241 citations), Computational Theory and Mathematics (176 citations), Molecular Biology (545 citations) and Pulmonary and Respiratory Medicine (238 citations). André Richters has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Daniel Rauh, Donate Weghorn, Brendan Michael Reardon, Amaro N Taylor-Weiner, David Liu, Eric S. Lander, Felix Dietlein, Shamil R. Sunyaev, Eliezer M. Van Allen and Jeffrey R. Simard. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Chemical Biology, Angewandte Chemie International Edition, Cell and Cell chemical 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.