Kai Barck
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Immunology top 10%
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- MRI in cancer diagnosis 4
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced MRI Techniques and Applications 2
- Monoclonal and Polyclonal Antibodies Research 2
-
- RNA modifications and cancer 2
- Co-authors
- Richard A.D. Carano (16 shared papers)Lauri Diehl (6 shared papers)Wyne P. Lee (4 shared papers)Peter Gribling (3 shared papers)Mei Sun (1 shared paper)Karen Brown (1 shared paper)Fredric Carlsson (1 shared paper)Janice Kim (1 shared paper)
- Journals
- Cancer Research (2 papers)Magnetic Resonance in Medicine (2 papers)American Journal of Physiology-Renal Physiology (2 papers)iScience (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Kai Barck
18 papers receiving 977 citations
Peers
Comparison fields: 5 of 102
- Neurology 147
- Immunology 342
- Rheumatology 131
- Immunology and Allergy 49
- Cancer Research 106
Countries citing papers authored by Kai Barck
This map shows the geographic impact of Kai Barck'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 Barck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Barck more than expected).
Fields of papers citing papers by Kai Barck
This network shows the impact of papers produced by Kai Barck. 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 Barck. The network helps show where Kai Barck may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Barck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 159 | |
| 2 | 2009 | 142 | |
| 3 | 2010 | 127 | |
| 4 | 2013 | 113 | |
| 5 | 2015 | 99 | |
| 6 | 2007 | 76 | |
| 7 | 2012 | 67 | |
| 8 | 2004 | 54 | |
| 9 | 2008 | 40 | |
| 10 | 2014 | 36 | |
| 11 | 2018 | 23 | |
| 12 | 2022 | 17 | |
| 13 | 2015 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2009 | 10 | |
| 16 | 2011 | 4 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About Kai Barck
Kai Barck is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research, Rheumatology and Immunology, having authored 19 papers that have together received 992 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Cancer-related molecular mechanisms research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers), Advanced MRI Techniques and Applications (2 papers), RNA modifications and cancer (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Neurology (147 citations), Immunology (342 citations), Rheumatology (131 citations), Immunology and Allergy (49 citations) and Cancer Research (106 citations). Kai Barck has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Richard A.D. Carano, Lauri Diehl, Wyne P. Lee, Peter Gribling, Mei Sun, Karen Brown, Fredric Carlsson, Janice Kim, Calin Dan Dumitru and Brad Bolon. Their work appears in journals such as Cancer Research, Magnetic Resonance in Medicine, American Journal of Physiology-Renal Physiology, iScience and Nature Medicine.
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.