Barbara M. Grüner
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Lung Cancer Research Studies
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 11
- Pancreatic and Hepatic Oncology Research 7
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Monte M. Winslow (9 shared papers)Dian Yang (7 shared papers)Chen-Hua Chuang (6 shared papers)Shin‐Heng Chiou (6 shared papers)Jennifer J. Brady (3 shared papers)Julien Sage (2 shared papers)Christina S. Kong (2 shared papers)Deborah R. Caswell (2 shared papers)
- Journals
- Cell Reports (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Nature Methods (1 paper)iScience (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Barbara M. Grüner
22 papers receiving 979 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 211
- Oncology 315
- Molecular Biology 595
- Aging 14
- Business and International Management 9
Countries citing papers authored by Barbara M. Grüner
This map shows the geographic impact of Barbara M. Grüner'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 M. Grüner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara M. Grüner more than expected).
Fields of papers citing papers by Barbara M. Grüner
This network shows the impact of papers produced by Barbara M. Grüner. 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 M. Grüner. The network helps show where Barbara M. Grüner may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara M. Grüner, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 248 | |
| 2 | 2015 | 167 | |
| 3 | 2017 | 112 | |
| 4 | 2017 | 50 | |
| 5 | 2016 | 48 | |
| 6 | 2012 | 45 | |
| 7 | 2019 | 44 | |
| 8 | 2021 | 40 | |
| 9 | 2020 | 35 | |
| 10 | 2020 | 31 | |
| 11 | 2010 | 31 | |
| 12 | 2018 | 27 | |
| 13 | 2020 | 25 | |
| 14 | 2021 | 23 | |
| 15 | 2016 | 22 | |
| 16 | 2013 | 18 | |
| 17 | 2010 | 9 | |
| 18 | 2021 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2023 | 2 |
About Barbara M. Grüner
Barbara M. Grüner is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 991 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers), Pancreatic function and diabetes (3 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (211 citations), Oncology (315 citations), Molecular Biology (595 citations), Aging (14 citations) and Business and International Management (9 citations). Barbara M. Grüner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Monte M. Winslow, Dian Yang, Chen-Hua Chuang, Shin‐Heng Chiou, Jennifer J. Brady, Julien Sage, Christina S. Kong, Deborah R. Caswell, Jing Shan Lim and Cécile Hamard. Their work appears in journals such as Cell Reports, PLoS ONE, Cancer Research, Nature Methods and iScience.
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.