Fee Bengsch
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Oncology 7
- Pancreatic and Hepatic Oncology Research 2
- Cancer Cells and Metastasis 2
- CAR-T cell therapy research 2
- Peptidase Inhibition and Analysis 1
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- Protease and Inhibitor Mechanisms 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Gregory L. Beatty (2 shared papers)Hengrui Zhu (2 shared papers)Rugang Zhang (2 shared papers)Benjamin G. Bitler (1 shared paper)Melanie R. Rutkowski (1 shared paper)Michael J. Allegrezza (1 shared paper)Yuhki Yokoyama (1 shared paper)Andrew V. Kossenkov (1 shared paper)
- Journals
- Experimental Eye Research (1 paper)Cell Cycle (1 paper)Molecular & Cellular Proteomics (1 paper)Cell Reports (1 paper)BMC Cancer (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Fee Bengsch
9 papers receiving 738 citations
Peers
Comparison fields: 5 of 76
- Oncology 402
- Immunology 247
- Cancer Research 130
- Hematology 59
- Molecular Biology 356
Countries citing papers authored by Fee Bengsch
This map shows the geographic impact of Fee Bengsch'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 Bengsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fee Bengsch more than expected).
Fields of papers citing papers by Fee Bengsch
This network shows the impact of papers produced by Fee Bengsch. 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 Bengsch. The network helps show where Fee Bengsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Fee Bengsch, 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 | 2016 | 343 | |
| 2 | 2016 | 147 | |
| 3 | 2013 | 86 | |
| 4 | 2017 | 84 | |
| 5 | 2012 | 34 | |
| 6 | 2015 | 22 | |
| 7 | 2013 | 14 | |
| 8 | 2016 | 8 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 |
About Fee Bengsch
Fee Bengsch is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 740 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer Cells and Metastasis (2 papers), CAR-T cell therapy research (2 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (402 citations), Immunology (247 citations), Cancer Research (130 citations), Hematology (59 citations) and Molecular Biology (356 citations). Fee Bengsch has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gregory L. Beatty, Hengrui Zhu, Rugang Zhang, Benjamin G. Bitler, Melanie R. Rutkowski, Michael J. Allegrezza, Yuhki Yokoyama, Andrew V. Kossenkov, James E. Bradner and José R. Conejo-García. Their work appears in journals such as Experimental Eye Research, Cell Cycle, Molecular & Cellular Proteomics, Cell Reports and BMC Cancer.
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.