Kai Bartkowiak
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Connective Tissue Growth Factor Research 4
- PI3K/AKT/mTOR signaling in cancer 4
- Circular RNAs in diseases 2
- Oncology 12
- Cancer Cells and Metastasis 10
- HER2/EGFR in Cancer Research 3
- Co-authors
- Klaus Pantel (21 shared papers)Catherine Alix‐Panabières (4 shared papers)Burkhard Brandt (8 shared papers)Antje Andreas (11 shared papers)William Jacot (1 shared paper)Delphine Topart (1 shared paper)Laure Cayrefourcq (1 shared paper)Martine Mazel (1 shared paper)
In The Last Decade
Kai Bartkowiak
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 439
- Oncology 602
- Molecular Biology 425
- Immunology 125
- Cell Biology 86
Countries citing papers authored by Kai Bartkowiak
This map shows the geographic impact of Kai Bartkowiak'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 Kai Bartkowiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Bartkowiak more than expected).
Fields of papers citing papers by Kai Bartkowiak
This network shows the impact of papers produced by Kai Bartkowiak. 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 Kai Bartkowiak. The network helps show where Kai Bartkowiak may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Bartkowiak, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 319 | |
| 2 | 2018 | 153 | |
| 3 | 2010 | 81 | |
| 4 | 2012 | 76 | |
| 5 | 2011 | 69 | |
| 6 | 2015 | 66 | |
| 7 | 2016 | 59 | |
| 8 | 2015 | 52 | |
| 9 | 2009 | 43 | |
| 10 | 2009 | 34 | |
| 11 | 2010 | 33 | |
| 12 | 2016 | 31 | |
| 13 | 2011 | 22 | |
| 14 | 2005 | 21 | |
| 15 | 2010 | 19 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 8 |
About Kai Bartkowiak
Kai Bartkowiak is a scholar working on Molecular Biology, Oncology, Cancer Research, Biotechnology and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Genomics and Diagnostics (4 papers), Connective Tissue Growth Factor Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Research and Treatments (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (439 citations), Oncology (602 citations), Molecular Biology (425 citations), Immunology (125 citations) and Cell Biology (86 citations). Kai Bartkowiak has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Klaus Pantel, Catherine Alix‐Panabières, Burkhard Brandt, Antje Andreas, William Jacot, Delphine Topart, Laure Cayrefourcq, Martine Mazel, Thierry Fest and Delphine Rossille. Their work appears in journals such as Cancer Research, Journal of Proteome Research, Molecular Oncology, Clinical Chemistry and Oncotarget.
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.