Georg Kempf
Impact in
- Aging top 10%
- Immunology top 10%
- interferon and immune responses
Papers in
-
- Ubiquitin and proteasome pathways 5
- RNA and protein synthesis mechanisms 5
- Protein Degradation and Inhibitors 4
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- Oncology 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Nicolas H. Thomä (7 shared papers)Simone Cavadini (9 shared papers)Zuzanna Kozicka (4 shared papers)Joscha Weiss (3 shared papers)G.R. Pathare (2 shared papers)Matthias P. Mayer (1 shared paper)Laura Le Breton (1 shared paper)Baptiste Guey (1 shared paper)
- Journals
- The EMBO Journal (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Molecular Cell (1 paper)Nano Letters (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Georg Kempf
25 papers receiving 784 citations
Peers
Comparison fields: 5 of 86
- Aging 19
- Immunology 195
- Molecular Biology 622
- Cell Biology 63
- Infectious Diseases 66
Countries citing papers authored by Georg Kempf
This map shows the geographic impact of Georg Kempf'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 Georg Kempf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Kempf more than expected).
Fields of papers citing papers by Georg Kempf
This network shows the impact of papers produced by Georg Kempf. 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 Georg Kempf. The network helps show where Georg Kempf may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Kempf, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 200 | |
| 2 | 2020 | 159 | |
| 3 | 2016 | 111 | |
| 4 | 2023 | 63 | |
| 5 | 2023 | 32 | |
| 6 | 2015 | 29 | |
| 7 | 2022 | 27 | |
| 8 | 2020 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2014 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2022 | 19 | |
| 13 | 2023 | 14 | |
| 14 | 2019 | 10 | |
| 15 | 1984 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2018 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2024 | 4 |
About Georg Kempf
Georg Kempf is a scholar working on Molecular Biology, Oncology, Genetics, Ecology and Cell Biology, having authored 27 papers that have together received 794 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), RNA and protein synthesis mechanisms (5 papers), Protein Degradation and Inhibitors (4 papers), Genomics and Chromatin Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers), CRISPR and Genetic Engineering (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Aging (19 citations), Immunology (195 citations), Molecular Biology (622 citations), Cell Biology (63 citations) and Infectious Diseases (66 citations). Georg Kempf has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Nicolas H. Thomä, Simone Cavadini, Zuzanna Kozicka, Joscha Weiss, G.R. Pathare, Matthias P. Mayer, Laura Le Breton, Baptiste Guey, Beat Fierz and Kristina Makasheva. Their work appears in journals such as The EMBO Journal, Nature Communications, Cell Reports, Molecular Cell and Nano Letters.
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.