Barbara Grün
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Drug Transport and Resistance Mechanisms
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
- Co-authors
- Simon A. Gayther (8 shared papers)Ian Jacobs (5 shared papers)Dimitra Dafou (5 shared papers)Kate Lawrenson (6 shared papers)Elizabeth Benjamin (3 shared papers)Klaus‐Dieter Riedel (3 shared papers)Johanna Weiß (2 shared papers)Jürgen Burhenne (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)British Journal of Clinical Pharmacology (3 papers)Journal of Visualized Experiments (2 papers)International Journal of Cancer (2 papers)Neoplasia (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Barbara Grün
33 papers receiving 536 citations
Peers
Comparison fields: 5 of 75
- Oncology 216
- Reproductive Medicine 48
- Immunology 105
- Cancer Research 52
- Endocrine and Autonomic Systems 16
Countries citing papers authored by Barbara Grün
This map shows the geographic impact of Barbara Grün'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 Barbara Grün with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Grün more than expected).
Fields of papers citing papers by Barbara Grün
This network shows the impact of papers produced by Barbara Grün. 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 Barbara Grün. The network helps show where Barbara Grün may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Grün, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 83 | |
| 2 | 2010 | 76 | |
| 3 | 2013 | 65 | |
| 4 | 2009 | 52 | |
| 5 | 2010 | 44 | |
| 6 | 1999 | 33 | |
| 7 | 2011 | 27 | |
| 8 | 2014 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2012 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2012 | 11 | |
| 13 | 2009 | 10 | |
| 14 | 2004 | 9 | |
| 15 | 2008 | 8 | |
| 16 | 2021 | 5 | |
| 17 | 2008 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2024 | 4 |
About Barbara Grün
Barbara Grün is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 33 papers that have together received 543 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Reproductive Biology and Fertility (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Peripheral Artery Disease Management (3 papers), RNA modifications and cancer (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (216 citations), Reproductive Medicine (48 citations), Immunology (105 citations), Cancer Research (52 citations) and Endocrine and Autonomic Systems (16 citations). Barbara Grün has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Simon A. Gayther, Ian Jacobs, Dimitra Dafou, Kate Lawrenson, Elizabeth Benjamin, Klaus‐Dieter Riedel, Johanna Weiß, Jürgen Burhenne, Geraldine Rauch and David Czock. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Clinical Pharmacology, Journal of Visualized Experiments, International Journal of Cancer and Neoplasia.
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.