Barbara Grün

805 citations
33 papers · 533 · h-index 12

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Drug Transport and Resistance Mechanisms
    • Ovarian cancer diagnosis and treatment

Papers in

    • Cancer Cells and Metastasis 5
    • Cancer Immunotherapy and Biomarkers 4
    • Bladder and Urothelial Cancer Treatments 3

Barbara Grün

33 papers receiving 525 citations

Peers

Barbara Grün
Comparison fields: 5 of 85
  • Oncology 228
  • Reproductive Medicine 54
  • Immunology 108
  • Cancer Research 60
  • Endocrine and Autonomic Systems 19
Replace Li Lyu with:
Li Lyu China
Mélissa Buscato France
Ji Ho Suh United States
Lucia Gozzo Italy
Péter Ugocsai Germany
Fiona O’Mahony Ireland
Jude Abadie United States
Darijana Horvat United States
He Xiao China
Zhenxing Huang China
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Citations per field
00.5×4.7×
Li Lyu · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202277
2 201076
3 201365
4 200952
5 201044
6 199932
7 201127
8 201426
9 202025
10 201215
11 201211
12 202211
13 200910
14 20049
15 20088
16 20085
17 20215
18 20094
19 19874
20 20233

About Barbara Grün

Barbara Grün is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 33 papers that have together received 533 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Reproductive Biology and Fertility (4 papers), Analytical Methods in Pharmaceuticals (3 papers), RNA modifications and cancer (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Oncology (228 citations), Reproductive Medicine (54 citations), Immunology (108 citations), Cancer Research (60 citations) and Endocrine and Autonomic Systems (19 citations). Barbara Grün has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Simon A. Gayther, Dimitra Dafou, Ian Jacobs, Kate Lawrenson, Elizabeth Benjamin, Klaus‐Dieter Riedel, Johanna Weiß, Geraldine Rauch, Michael K. Kießling and Norbert Dahmen. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Clinical Pharmacology, Neoplasia, Journal of Visualized Experiments and International Journal of Cancer.

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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