Stefan Paepke
- Cancer Research top 1%
- Oncology top 2%
- Pathology and Forensic Medicine top 2%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Gϋnter von MinckwitzMichael UntchJens‐Uwe BlohmerW. EiermannMarion KiechleJens HuoberSemiglazov VfSherko Kümmel
- Topics
- Breast Cancer Treatment Studies (60 papers)Breast Implant and Reconstruction (37 papers)Breast Lesions and Carcinomas (33 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Stefan Paepke
140 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 1.6k
- Oncology 1.4k
- Pathology and Forensic Medicine 585
- Surgery 544
- Pulmonary and Respiratory Medicine 460
Countries citing papers authored by Stefan Paepke
This map shows the geographic impact of Stefan Paepke'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 Stefan Paepke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Paepke more than expected).
Fields of papers citing papers by Stefan Paepke
This network shows the impact of papers produced by Stefan Paepke. 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 Stefan Paepke. The network helps show where Stefan Paepke may publish in the future.
Co-authorship network of co-authors of Stefan Paepke
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Paepke. A scholar is included among the top collaborators of Stefan Paepke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Paepke. Stefan Paepke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 43 | |
| 9 | 3 | |
| 10 | 265 | |
| 11 | 51 | |
| 12 | 92 | |
| 13 | 28 | |
| 14 | 78 | |
| 15 | Impact of tumor biological factors on response to pre-operative epirubicin and paclitaxel chemotherapy in primary breast cancer. | 7 |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | Preoperative treatment of postmenopausal breast cancer patients with letrozole: A randomized double-blind multicenter studybreakdown → | 530 |
| 20 | Risk perception and anxiety of women with familial breast cancer history | 1 |
About Stefan Paepke
Stefan Paepke is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 144 papers that have together received 2.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (60 papers), Breast Implant and Reconstruction (37 papers) and Breast Lesions and Carcinomas (33 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (1.4k citations) and Pathology and Forensic Medicine (585 citations). Stefan Paepke has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gϋnter von Minckwitz, Michael Untch, Jens‐Uwe Blohmer, W. Eiermann, Marion Kiechle, Jens Huober, Semiglazov Vf, Sherko Kümmel, Matthew J. Ellis and M. Lassus. Their work appears in journals such as Journal of Clinical Oncology, 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.