Tanja Fehm
- Cancer Research top 0.05%
- Breast Cancer Treatment Studies 137
- Cancer Genomics and Diagnostics 125
- Oncology top 0.05%
- Cancer Cells and Metastasis 179
- HER2/EGFR in Cancer Research 99
- Cancer Treatment and Pharmacology 62
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment 40
- Pulmonary and Respiratory Medicine top 0.5%
- Advanced Breast Cancer Therapies 75
- Pathology and Forensic Medicine top 0.5%
- Breast Lesions and Carcinomas 35
- Co-authors
- D. WallwienerHans NeubauerSabine Kasimir‐BauerWolfgang JanniKlaus PantelBahriye AktasVolkmar MüllerRainer Kimmig
- Journals
- Journal of Clinical Oncology (46 papers)Cancer Research (44 papers)Breast Cancer Research and Treatment (24 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Tanja Fehm
542 papers receiving 16.6k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cancer Research 8.2k
- Oncology 10.6k
- Reproductive Medicine 1.0k
- Pulmonary and Respiratory Medicine 3.2k
- Pathology and Forensic Medicine 1.7k
Countries citing papers authored by Tanja Fehm
This map shows the geographic impact of Tanja Fehm'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 Tanja Fehm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Fehm more than expected).
Fields of papers citing papers by Tanja Fehm
This network shows the impact of papers produced by Tanja Fehm. 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 Tanja Fehm. The network helps show where Tanja Fehm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tanja Fehm, 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 | 2026 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 0 | |
| 10 | 2019 | 8 | |
| 11 | 2019 | 27 | |
| 12 | 2017 | 82 | |
| 13 | 2016 | 265 | |
| 14 | 2016 | 12 | |
| 15 | 2013 | 126 | |
| 16 | 2012 | 33 | |
| 17 | 2011 | 192 | |
| 18 | 2006 | 191 | |
| 19 | Her2 expression on disseminated tumor cells from bone marrow of breast cancer patients. | 2005 | 22 |
| 20 | Prognostic significance of serum HER2 and CA 15-3 at the time of diagnosis of metastatic breast cancer. | 2004 | 43 |
About Tanja Fehm
Tanja Fehm is a scholar working on Cancer Research, Oncology and Reproductive Medicine, having authored 597 papers that have together received 16.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (179 papers), Breast Cancer Treatment Studies (137 papers), Cancer Genomics and Diagnostics (125 papers), HER2/EGFR in Cancer Research (99 papers), Advanced Breast Cancer Therapies (75 papers), Cancer Treatment and Pharmacology (62 papers), Ovarian cancer diagnosis and treatment (40 papers) and Breast Lesions and Carcinomas (35 papers). The work is most often cited by research in Cancer Research (8.2k citations), Oncology (10.6k citations) and Reproductive Medicine (1.0k citations). Tanja Fehm has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include D. Wallwiener, Hans Neubauer, Sabine Kasimir‐Bauer, Wolfgang Janni, Klaus Pantel, Bahriye Aktas, Volkmar Müller, Rainer Kimmig, Erich Solomayer and Sven Becker. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Breast Cancer Research and Treatment, Archives of Gynecology and Obstetrics and Cancers.
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.