Sabine C. Linn
- Oncology top 0.5%
- Cancer Research top 0.2%
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 0.5%
- Genetics top 1%
- Co-authors
- Marc J. van de VijverMichael HauptmannJelle WesselingKarin BeelenHugo M. HorlingsWilbert ZwartEmiel J. RutgersWolter J. Mooi
- Topics
- Breast Cancer Treatment Studies (84 papers)HER2/EGFR in Cancer Research (52 papers)Estrogen and related hormone effects (42 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Sabine C. Linn
222 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Oncology 4.7k
- Cancer Research 3.4k
- Molecular Biology 3.2k
- Pulmonary and Respiratory Medicine 2.4k
- Genetics 1.5k
Countries citing papers authored by Sabine C. Linn
This map shows the geographic impact of Sabine C. Linn'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 Sabine C. Linn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine C. Linn more than expected).
Fields of papers citing papers by Sabine C. Linn
This network shows the impact of papers produced by Sabine C. Linn. 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 Sabine C. Linn. The network helps show where Sabine C. Linn may publish in the future.
Co-authorship network of co-authors of Sabine C. Linn
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine C. Linn. A scholar is included among the top collaborators of Sabine C. Linn 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 Sabine C. Linn. Sabine C. Linn 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 | 4 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 18 | |
| 8 | 5 | |
| 9 | 38 | |
| 10 | 6 | |
| 11 | 51 | |
| 12 | 26 | |
| 13 | 27 | |
| 14 | 43 | |
| 15 | DNA repair deficiency biomarkers and identification of ER-positive breast cancer patients who may benefit from veliparib/carboplatin: Results from the I-SPY 2 trial. | 1 |
| 16 | 30 | |
| 17 | 57 | |
| 18 | 107 | |
| 19 | 7 | |
| 20 | A patient with adrenocortical carcinoma: characterization of its biological activity and drug resistance profile. | 9 |
About Sabine C. Linn
Sabine C. Linn is a scholar working on Cancer Research, Oncology and Genetics, having authored 231 papers that have together received 9.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (84 papers), HER2/EGFR in Cancer Research (52 papers) and Estrogen and related hormone effects (42 papers). The work is most often cited by research in Cancer Research (3.4k citations), Oncology (4.7k citations) and Pulmonary and Respiratory Medicine (2.4k citations). Sabine C. Linn has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Marc J. van de Vijver, Michael Hauptmann, Jelle Wesseling, Karin Beelen, Hugo M. Horlings, Wilbert Zwart, Emiel J. Rutgers, Wolter J. Mooi, Ralph Meuwissen and Anton Berns. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.
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.