Fee Klupp
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 5
- Colorectal Cancer Treatments and Studies 3
- Pancreatic and Hepatic Oncology Research 2
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- MicroRNA in disease regulation 2
- Protease and Inhibitor Mechanisms 2
- Cancer-related molecular mechanisms research 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- Niels Halama (14 shared papers)Christoph Kahlert (11 shared papers)Alexis Ulrich (9 shared papers)Juergen Weitz (6 shared papers)Thomas Schmidt (10 shared papers)Moritz Koch (5 shared papers)Martin Schneider (4 shared papers)Nuh N. Rahbari (5 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Cancer Research (2 papers)OncoImmunology (2 papers)Annals of Surgical Oncology (2 papers)Oncotarget (1 paper)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Fee Klupp
19 papers receiving 561 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 179
- Modeling and Simulation 55
- Oncology 252
- Immunology 89
- Molecular Biology 202
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 84 | |
| 2 | 2016 | 83 | |
| 3 | 2011 | 72 | |
| 4 | 2017 | 48 | |
| 5 | 2014 | 46 | |
| 6 | 2012 | 45 | |
| 7 | 2013 | 39 | |
| 8 | 2018 | 36 | |
| 9 | 2013 | 31 | |
| 10 | 2015 | 20 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 1 |
About Fee Klupp
Fee Klupp is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 568 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), MicroRNA in disease regulation (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (179 citations), Modeling and Simulation (55 citations), Oncology (252 citations), Immunology (89 citations) and Molecular Biology (202 citations). Fee Klupp has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Niels Halama, Christoph Kahlert, Alexis Ulrich, Juergen Weitz, Thomas Schmidt, Moritz Koch, Martin Schneider, Nuh N. Rahbari, Esther Herpel and Felix Lasitschka. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Research, OncoImmunology, Annals of Surgical Oncology and Oncotarget.
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.