K. Graf
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
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- Cardiac Fibrosis and Remodeling
- Renin-Angiotensin System Studies
Papers in
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- Renin-Angiotensin System Studies 3
-
- Receptor Mechanisms and Signaling 2
- Co-authors
- Willa A. Hsueh (3 shared papers)Woerner P. Meehan (2 shared papers)David P. Faxon (1 shared paper)William D. Coats (1 shared paper)Daniel Wüthrich (1 shared paper)R E Law (1 shared paper)Nobuyuki Ashizawa (2 shared papers)Eckart Fleck (9 shared papers)
- Journals
- Cardiovascular Research (3 papers)American Journal of Physiology-Heart and Circulatory Physiology (3 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)Journal of Clinical Investigation (2 papers)Inflammation Research (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
K. Graf
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Immunology and Allergy 91
- Cardiology and Cardiovascular Medicine 325
- Cancer Research 171
- Molecular Biology 586
- Biochemistry 55
Countries citing papers authored by K. Graf
This map shows the geographic impact of K. Graf'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 K. Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Graf more than expected).
Fields of papers citing papers by K. Graf
This network shows the impact of papers produced by K. Graf. 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 K. Graf. The network helps show where K. Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Graf, 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 | 1996 | 431 | |
| 2 | 1996 | 208 | |
| 3 | 2004 | 95 | |
| 4 | 1993 | 61 | |
| 5 | 2005 | 51 | |
| 6 | 1996 | 44 | |
| 7 | 1994 | 41 | |
| 8 | 1998 | 24 | |
| 9 | 2007 | 24 | |
| 10 | 1995 | 21 | |
| 11 | 1993 | 17 | |
| 12 | 1994 | 13 | |
| 13 | 1997 | 13 | |
| 14 | 1996 | 10 | |
| 15 | Targeted ED-B fibronectin SPECT in vivo imaging in experimental atherosclerosis. | 2015 | 4 |
| 16 | 1995 | 1 | |
| 17 | 2003 | 1 | |
| 18 | 2003 | 1 | |
| 19 | 2007 | 0 |
About K. Graf
K. Graf is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, Cancer Research and Genetics, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Cell Adhesion Molecules Research (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Renin-Angiotensin System Studies (3 papers), Peptidase Inhibition and Analysis (3 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Immunology and Allergy (91 citations), Cardiology and Cardiovascular Medicine (325 citations), Cancer Research (171 citations), Molecular Biology (586 citations) and Biochemistry (55 citations). K. Graf has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Willa A. Hsueh, Woerner P. Meehan, David P. Faxon, William D. Coats, Daniel Wüthrich, R E Law, Nobuyuki Ashizawa, Eckart Fleck, Cecilia M. Giachelli and Tai‐Lan Tuan. Their work appears in journals such as Cardiovascular Research, American Journal of Physiology-Heart and Circulatory Physiology, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Investigation and Inflammation Research.
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.