Simone Gaedicke
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 15
- Peptidase Inhibition and Analysis 5
- Cancer Immunotherapy and Biomarkers 4
- Cancer Cells and Metastasis 4
- CAR-T cell therapy research 3
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- Ubiquitin and proteasome pathways 5
- Co-authors
- Gabriele Niedermann (27 shared papers)Elke Firat (21 shared papers)Anca‐Ligia Grosu (9 shared papers)Xuekai Zhu (3 shared papers)Michael Hettich (4 shared papers)Shruthi Prasad (3 shared papers)Astrid Weyerbrock (4 shared papers)Ren Luo (5 shared papers)
In The Last Decade
Simone Gaedicke
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Oncology 461
- Immunology 325
- Virology 52
- Genetics 88
- Cancer Research 118
Countries citing papers authored by Simone Gaedicke
This map shows the geographic impact of Simone Gaedicke'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 Simone Gaedicke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Gaedicke more than expected).
Fields of papers citing papers by Simone Gaedicke
This network shows the impact of papers produced by Simone Gaedicke. 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 Simone Gaedicke. The network helps show where Simone Gaedicke may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Gaedicke, 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 | 2014 | 129 | |
| 2 | Antitumor effect of the human immunodeficiency virus protease inhibitor ritonavir: induction of tumor-cell apoptosis associated with perturbation of proteasomal proteolysis. | 2002 | 99 |
| 3 | 2007 | 96 | |
| 4 | 2014 | 85 | |
| 5 | 2012 | 83 | |
| 6 | 2016 | 74 | |
| 7 | 2019 | 60 | |
| 8 | 2016 | 39 | |
| 9 | 2003 | 34 | |
| 10 | 2007 | 33 | |
| 11 | 2010 | 33 | |
| 12 | 2022 | 32 | |
| 13 | 2011 | 31 | |
| 14 | 2008 | 29 | |
| 15 | 2015 | 28 | |
| 16 | 2023 | 26 | |
| 17 | 2020 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2019 | 18 | |
| 20 | 2009 | 14 |
About Simone Gaedicke
Simone Gaedicke is a scholar working on Oncology, Molecular Biology, Immunology, Biomedical Engineering and Epidemiology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (4 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Oncology (461 citations), Immunology (325 citations), Virology (52 citations), Genetics (88 citations) and Cancer Research (118 citations). Simone Gaedicke has collaborated with scholars based in Germany, China and France. Frequent co-authors include Gabriele Niedermann, Elke Firat, Anca‐Ligia Grosu, Xuekai Zhu, Michael Hettich, Shruthi Prasad, Astrid Weyerbrock, Ren Luo, Peter Van Endert and Jisen Huai. Their work appears in journals such as Clinical Cancer Research, Proceedings of the National Academy of Sciences, Journal for ImmunoTherapy of Cancer, PLoS ONE and Cancer 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.