Benjamin Ruprecht
Impact in
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- Computational Drug Discovery Methods
Papers in
- Spectroscopy 20
- Advanced Proteomics Techniques and Applications 20
-
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Degradation and Inhibitors 2
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Bernhard Küster (22 shared papers)Simone Lemeer (10 shared papers)Guillaume Médard (7 shared papers)Fiona Pachl (5 shared papers)Dominic Helm (5 shared papers)Susan Klaeger (5 shared papers)Jana Zecha (4 shared papers)Hannes Hahne (4 shared papers)
- Journals
- ACS Chemical Biology (4 papers)Journal of Proteome Research (4 papers)Nature Communications (3 papers)Science (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Benjamin Ruprecht
30 papers receiving 2.1k citations
Benjamin Ruprecht's Hit Papers
Peers
Comparison fields: 5 of 96
- Spectroscopy 709
- Computational Theory and Mathematics 316
- Molecular Biology 765
- Cancer Research 124
- Oncology 204
Countries citing papers authored by Benjamin Ruprecht
This map shows the geographic impact of Benjamin Ruprecht'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 Benjamin Ruprecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Ruprecht more than expected).
Fields of papers citing papers by Benjamin Ruprecht
This network shows the impact of papers produced by Benjamin Ruprecht. 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 Benjamin Ruprecht. The network helps show where Benjamin Ruprecht may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Ruprecht, 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 | The target landscape of clinical kinase drugs Hit paper breakdown → | 2017 | 671 |
| 2 | 2013 | 205 | |
| 3 | 2015 | 112 | |
| 4 | 2014 | 109 | |
| 5 | 2014 | 90 | |
| 6 | 2017 | 89 | |
| 7 | 2016 | 87 | |
| 8 | 2019 | 83 | |
| 9 | 2022 | 77 | |
| 10 | 2023 | 70 | |
| 11 | 2020 | 59 | |
| 12 | 2013 | 48 | |
| 13 | 2017 | 47 | |
| 14 | 2016 | 43 | |
| 15 | 2014 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2017 | 38 | |
| 18 | 2013 | 30 | |
| 19 | 2019 | 30 | |
| 20 | 2015 | 29 |
About Benjamin Ruprecht
Benjamin Ruprecht is a scholar working on Spectroscopy, Molecular Biology, Oncology, Computational Theory and Mathematics and Organic Chemistry, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (20 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Computational Drug Discovery Methods (3 papers), Click Chemistry and Applications (2 papers), Protein Degradation and Inhibitors (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), HER2/EGFR in Cancer Research (2 papers) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Spectroscopy (709 citations), Computational Theory and Mathematics (316 citations), Molecular Biology (765 citations), Cancer Research (124 citations) and Oncology (204 citations). Benjamin Ruprecht has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernhard Küster, Simone Lemeer, Guillaume Médard, Fiona Pachl, Dominic Helm, Susan Klaeger, Jana Zecha, Hannes Hahne, Heiner Koch and Mathias Wilhelm. Their work appears in journals such as ACS Chemical Biology, Journal of Proteome Research, Nature Communications, Science and Molecular & Cellular Proteomics.
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.