Barbara Grün

814 citations
38 papers · 581 · h-index 13

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Drug Transport and Resistance Mechanisms
    • Ovarian cancer diagnosis and treatment

Papers in

    • Cancer Cells and Metastasis 5
    • Cancer Immunotherapy and Biomarkers 4
    • Peripheral Artery Disease Management 6
    • Bladder and Urothelial Cancer Treatments 3

Barbara Grün

35 papers receiving 564 citations

Peers

Barbara Grün
Comparison fields: 5 of 78
  • Oncology 226
  • Reproductive Medicine 51
  • Immunology 108
  • Cancer Research 52
  • Endocrine and Autonomic Systems 18
Replace Ben A. Hall with:
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Péter Ugocsai Germany
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Ji Ho Suh United States
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Barbara Grün relative to Ben A. Hall United States Ben A. Hall's profile →
Citations per field
00.5×4.3×
Ben A. Hall · 1×
Citations per year

Countries citing papers authored by Barbara Grün

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Barbara Grün Line = papers co-authored together Barbara Grün links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202283
2 201076
3 201369
4 200956
5 201044
6 199940
7 201129
8 201426
9 202025
10 201216
11 200413
12 202212
13 201212
14 200912
15 20088
16 20088
17 20235
18 20215
19 20095
20 19875

About Barbara Grün

Barbara Grün is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 581 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (6 papers), Cancer Cells and Metastasis (5 papers), Vascular Procedures and Complications (4 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) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Oncology (226 citations), Reproductive Medicine (51 citations), Immunology (108 citations), Cancer Research (52 citations) and Endocrine and Autonomic Systems (18 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, Kerstin Querings, Norbert Dahmen and David Czock. Their work appears in journals such as British Journal of Clinical Pharmacology, Journal of Clinical Oncology, Neoplasia, International Journal of Cancer and Journal of Visualized Experiments.

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.

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