Jan Bartel
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Geriatrics and Gerontology top 10%
Papers in
-
- Hepatitis C virus research 4
- Hepatitis Viruses Studies and Epidemiology 1
-
- Hepatitis B Virus Studies 2
- Co-authors
- Paul J. Novotny (1 shared paper)Charles L. Loprinzi (1 shared paper)J. W. Kugler (1 shared paper)James E. Krook (1 shared paper)Harry S. Wieand (1 shared paper)John A. Laurie (1 shared paper)Marjorie Bateman (1 shared paper)Detlev H. Krüger (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)Journal of Clinical Microbiology (1 paper)Analytical Chemistry (1 paper)Nature Biotechnology (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- GermanyUnited StatesGeorgia
In The Last Decade
Jan Bartel
16 papers receiving 449 citations
Peers
Comparison fields: 5 of 84
- Nephrology 68
- Geriatrics and Gerontology 22
- Infectious Diseases 86
- Statistics and Probability 39
- Oncology 69
Countries citing papers authored by Jan Bartel
This map shows the geographic impact of Jan Bartel'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 Bartel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Bartel more than expected).
Fields of papers citing papers by Jan Bartel
This network shows the impact of papers produced by Jan Bartel. 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 Bartel. The network helps show where Jan Bartel may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Bartel, 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 | 1994 | 221 | |
| 2 | 2003 | 82 | |
| 3 | 2016 | 37 | |
| 4 | 2004 | 35 | |
| 5 | 2015 | 31 | |
| 6 | 2025 | 13 | |
| 7 | 2017 | 7 | |
| 8 | 2007 | 6 | |
| 9 | Prevalence of hepatitis G in patients on chronic hemodialysis. | 2000 | 6 |
| 10 | Comparison of different salivary and fecal antibodies for the diagnosis of celiac disease. | 2004 | 6 |
| 11 | 2006 | 6 | |
| 12 | 2011 | 5 | |
| 13 | 2014 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2006 | 1 | |
| 17 | 1992 | 1 |
About Jan Bartel
Jan Bartel is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Nephrology and Surgery, having authored 17 papers that have together received 466 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Hepatitis B Virus Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Nasolacrimal Duct Obstruction Treatments (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Nephrology (68 citations), Geriatrics and Gerontology (22 citations), Infectious Diseases (86 citations), Statistics and Probability (39 citations) and Oncology (69 citations). Jan Bartel has collaborated with scholars based in Germany, United States and Georgia. Frequent co-authors include Paul J. Novotny, Charles L. Loprinzi, J. W. Kugler, James E. Krook, Harry S. Wieand, John A. Laurie, Marjorie Bateman, Detlev H. Krüger, Boris Klempa and Rainer G. Ulrich. Their work appears in journals such as Journal of Clinical Oncology, Journal of Clinical Microbiology, Analytical Chemistry, Nature Biotechnology and Nephrology Dialysis Transplantation.
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.