Jan Czyzyk
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in ⓘ
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 2
- Co-authors
- Kim Bottomly (4 shared papers)Philip Fernsten (5 shared papers)Jun Guan (1 shared paper)Shinji Hatakeyama (1 shared paper)Lawrence B. Holzman (1 shared paper)Akashi Togawa (1 shared paper)Sik Lee (1 shared paper)David Leitenberg (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Diabetes (2 papers)Journal of the American Society of Nephrology (2 papers)Molecular and Cellular Biology (1 paper)Journal of Neuroimmunology (1 paper)
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
Jan Czyzyk
23 papers receiving 328 citations
Peers
Comparison fields: 5 of 64
- Nephrology 132
- Immunology 90
- Immunology and Allergy 22
- Cancer Research 33
- Hematology 24
Countries citing papers authored by Jan Czyzyk
This map shows the geographic impact of Jan Czyzyk'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 Czyzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Czyzyk more than expected).
Fields of papers citing papers by Jan Czyzyk
This network shows the impact of papers produced by Jan Czyzyk. 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 Czyzyk. The network helps show where Jan Czyzyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Czyzyk, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 106 | |
| 2 | 2021 | 46 | |
| 3 | 2000 | 26 | |
| 4 | 2003 | 17 | |
| 5 | 2022 | 15 | |
| 6 | Anti-lymphocyte autoantibodies in systemic lupus erythematosus. | 1997 | 15 |
| 7 | 2017 | 13 | |
| 8 | Synergistic antiproliferative activity of tumor necrosis factor alpha (TNF-alpha) and lovastatin. | 1994 | 13 |
| 9 | 2008 | 12 | |
| 10 | 1996 | 12 | |
| 11 | 2012 | 10 | |
| 12 | 2012 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 1994 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 1998 | 4 | |
| 19 | 1994 | 3 | |
| 20 | 2007 | 2 |
About Jan Czyzyk
Jan Czyzyk is a scholar working on Immunology, Molecular Biology, Surgery, Genetics and Nephrology, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), T-cell and B-cell Immunology (6 papers), Diabetes and associated disorders (4 papers), Renal Diseases and Glomerulopathies (4 papers), Systemic Lupus Erythematosus Research (4 papers), Diabetes Management and Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Nephrology (132 citations), Immunology (90 citations), Immunology and Allergy (22 citations), Cancer Research (33 citations) and Hematology (24 citations). Jan Czyzyk has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Kim Bottomly, Philip Fernsten, Jun Guan, Shinji Hatakeyama, Lawrence B. Holzman, Akashi Togawa, Sik Lee, David Leitenberg, Ming Ma and Shuta Ishibe. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Journal of the American Society of Nephrology, Molecular and Cellular Biology and Journal of Neuroimmunology.
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.