Jan Kramer
Impact in
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 12
- Renal and related cancers 4
- Surgery 14
- Co-authors
- Jürgen Rohwedel (20 shared papers)Peter Schlenke (10 shared papers)Anna M. Wobus (2 shared papers)Kaomei Guan (2 shared papers)Peter Müller (2 shared papers)Ulrich Lindner (7 shared papers)Debra J. Trudell (1 shared paper)Parviz Haghighi (1 shared paper)
- Journals
- Forensic Science International (4 papers)Cells Tissues Organs (2 papers)Clinical Chemistry (2 papers)Journal of Hepatology (2 papers)Journal of Clinical Microbiology (1 paper)
- Partner nations
- GermanyUnited StatesFinland
In The Last Decade
Jan Kramer
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 116
- Rheumatology 634
- Genetics 447
- Urology 128
- Toxicology 54
- Biomaterials 213
Countries citing papers authored by Jan Kramer
This map shows the geographic impact of Jan Kramer'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 Jan Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kramer more than expected).
Fields of papers citing papers by Jan Kramer
This network shows the impact of papers produced by Jan Kramer. 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 Jan Kramer. The network helps show where Jan Kramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Kramer, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 354 | |
| 2 | 1993 | 308 | |
| 3 | 2010 | 117 | |
| 4 | 2002 | 106 | |
| 5 | 2009 | 105 | |
| 6 | 2008 | 103 | |
| 7 | 2006 | 95 | |
| 8 | 2014 | 64 | |
| 9 | 2010 | 62 | |
| 10 | 2015 | 62 | |
| 11 | 2010 | 48 | |
| 12 | 2011 | 43 | |
| 13 | 2012 | 40 | |
| 14 | 2003 | 35 | |
| 15 | 2008 | 34 | |
| 16 | 2006 | 34 | |
| 17 | 2014 | 29 | |
| 18 | 2012 | 27 | |
| 19 | 2014 | 27 | |
| 20 | 2005 | 24 |
About Jan Kramer
Jan Kramer is a scholar working on Molecular Biology, Surgery, Rheumatology, Epidemiology and Genetics, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Mesenchymal stem cell research (10 papers), Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Forensic Toxicology and Drug Analysis (5 papers), Renal and related cancers (4 papers) and Silk-based biomaterials and applications (4 papers). The work is most often cited by research in Rheumatology (634 citations), Genetics (447 citations), Urology (128 citations), Toxicology (54 citations) and Biomaterials (213 citations). Jan Kramer has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Jürgen Rohwedel, Peter Schlenke, Anna M. Wobus, Kaomei Guan, Peter Müller, Ulrich Lindner, Debra J. Trudell, Parviz Haghighi, Michael P. Recht and Donald Resnick. Their work appears in journals such as Forensic Science International, Cells Tissues Organs, Clinical Chemistry, Journal of Hepatology and Journal of Clinical Microbiology.
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.