Fee Klupp
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
- Chemokine receptors and signaling
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
- Oncology 14
- Colorectal Cancer Treatments and Studies 4
- Cancer Immunotherapy and Biomarkers 3
- Chemokine receptors and signaling 3
- Cancer Cells and Metastasis 2
- Pancreatic and Hepatic Oncology Research 2
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- Protease and Inhibitor Mechanisms 2
- MicroRNA in disease regulation 2
- Co-authors
- Niels Halama (14 shared papers)Christoph Kahlert (11 shared papers)Alexis B. Ulrich (9 shared papers)Juergen Weitz (6 shared papers)Thomas Schmidt (10 shared papers)Moritz Koch (5 shared papers)Esther Herpel (4 shared papers)Nuh N. Rahbari (5 shared papers)
In The Last Decade
Fee Klupp
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Oncology 575
- Modeling and Simulation 69
- Cancer Research 182
- Immunology 176
- Molecular Biology 181
Countries citing papers authored by Fee Klupp
This map shows the geographic impact of Fee Klupp'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 Fee Klupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fee Klupp more than expected).
Fields of papers citing papers by Fee Klupp
This network shows the impact of papers produced by Fee Klupp. 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 Fee Klupp. The network helps show where Fee Klupp may publish in the future.
Co-authors
The 25 scholars most cited alongside Fee Klupp, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 417 | |
| 2 | 2011 | 136 | |
| 3 | 2017 | 89 | |
| 4 | 2016 | 86 | |
| 5 | 2011 | 72 | |
| 6 | 2017 | 52 | |
| 7 | 2012 | 48 | |
| 8 | 2014 | 47 | |
| 9 | 2013 | 42 | |
| 10 | 2019 | 39 | |
| 11 | 2018 | 37 | |
| 12 | 2013 | 31 | |
| 13 | 2015 | 21 | |
| 14 | 2022 | 21 | |
| 15 | 2019 | 18 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2024 | 8 |
About Fee Klupp
Fee Klupp is a scholar working on Oncology, Cancer Research, Modeling and Simulation, Pathology and Forensic Medicine and Molecular Biology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Chemokine receptors and signaling (3 papers), Protease and Inhibitor Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Mathematical Biology Tumor Growth (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Oncology (575 citations), Modeling and Simulation (69 citations), Cancer Research (182 citations), Immunology (176 citations) and Molecular Biology (181 citations). Fee Klupp has collaborated with scholars based in Germany, Poland and Belgium. Frequent co-authors include Niels Halama, Christoph Kahlert, Alexis B. Ulrich, Juergen Weitz, Thomas Schmidt, Moritz Koch, Esther Herpel, Nuh N. Rahbari, Martin Schneider and Inka Zoernig. Their work appears in journals such as OncoImmunology, Annals of Surgical Oncology, International Journal of Molecular Sciences, Cancer Research and Cancer Management and Research.
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.