C. Dabrowski
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Herpesvirus Infections and Treatments 5
- Cytomegalovirus and herpesvirus research 2
- Multiple and Secondary Primary Cancers 1
-
- Osteoarthritis Treatment and Mechanisms 4
- Co-authors
- Kay Tanaka (2 shared papers)Yasuyuki Ikeda (1 shared paper)Priscilla A. Schaffer (2 shared papers)Chan Beals (2 shared papers)Yuqing Zhang (2 shared papers)Jingbo Niu (2 shared papers)David J. Hunter (2 shared papers)James C. Alwine (2 shared papers)
- Journals
- Journal of Virology (5 papers)Osteoarthritis and Cartilage (2 papers)Osteoporosis International (1 paper)Annals of the Rheumatic Diseases (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
C. Dabrowski
15 papers receiving 695 citations
Peers
Comparison fields: 5 of 74
- Rheumatology 268
- Clinical Biochemistry 126
- Equine 10
- Virology 23
- Epidemiology 137
Countries citing papers authored by C. Dabrowski
This map shows the geographic impact of C. Dabrowski'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 C. Dabrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Dabrowski more than expected).
Fields of papers citing papers by C. Dabrowski
This network shows the impact of papers produced by C. Dabrowski. 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 C. Dabrowski. The network helps show where C. Dabrowski may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Dabrowski, 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 | 2009 | 159 | |
| 2 | 1983 | 156 | |
| 3 | 2008 | 99 | |
| 4 | 2006 | 81 | |
| 5 | 1994 | 53 | |
| 6 | 1991 | 47 | |
| 7 | 1991 | 36 | |
| 8 | 1994 | 32 | |
| 9 | 1988 | 19 | |
| 10 | 1996 | 16 | |
| 11 | 1983 | 12 | |
| 12 | Brief report Longitudinal study of magnetic resonance imaging and standard X-rays to assess disease progression in osteoarthritis | 2007 | 12 |
| 13 | 2023 | 1 | |
| 14 | RONACALERET, A CALCIUM-SENSING RECEPTOR ANTAGONIST, FAILS TO INCREASE BMD | 2010 | 1 |
| 15 | 2000 | 1 |
About C. Dabrowski
C. Dabrowski is a scholar working on Epidemiology, Rheumatology, Molecular Biology, Ecology and Oncology, having authored 15 papers that have together received 725 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Metabolism and Genetic Disorders (2 papers), Bacteriophages and microbial interactions (2 papers), Virus-based gene therapy research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Multiple and Secondary Primary Cancers (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Rheumatology (268 citations), Clinical Biochemistry (126 citations), Equine (10 citations), Virology (23 citations) and Epidemiology (137 citations). C. Dabrowski has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Kay Tanaka, Yasuyuki Ikeda, Priscilla A. Schaffer, Chan Beals, Yuqing Zhang, Jingbo Niu, David J. Hunter, James C. Alwine, Timothy E. McAlindon and M.-P. Hellio Le Graverand. Their work appears in journals such as Journal of Virology, Osteoarthritis and Cartilage, Osteoporosis International, Annals of the Rheumatic Diseases and Journal of Clinical Investigation.
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.