Dan Zekzer
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Genetics top 5%
- Diabetes and associated disorders
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 2
- Genetics 7
- Diabetes and associated disorders 7
- Co-authors
- Daniel L. Kaufman (8 shared papers)Jide Tian (7 shared papers)Angelica Olcott (4 shared papers)Yuxin Lu (4 shared papers)F. Susan Wong (2 shared papers)Martha Altieri (2 shared papers)Isabelle Millet (1 shared paper)S Shintani (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Diabetes (3 papers)Journal of Clinical Investigation (1 paper)Proceedings of the National Academy of Sciences (1 paper)Immunological Reviews (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Dan Zekzer
11 papers receiving 819 citations
Peers
Comparison fields: 5 of 67
- Immunology 508
- Genetics 380
- Endocrinology, Diabetes and Metabolism 129
- Biological Psychiatry 16
- Transplantation 14
Countries citing papers authored by Dan Zekzer
This map shows the geographic impact of Dan Zekzer'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 Dan Zekzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Zekzer more than expected).
Fields of papers citing papers by Dan Zekzer
This network shows the impact of papers produced by Dan Zekzer. 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 Dan Zekzer. The network helps show where Dan Zekzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Zekzer, 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 | 2001 | 330 | |
| 2 | 1998 | 131 | |
| 3 | 1998 | 84 | |
| 4 | 1997 | 59 | |
| 5 | 2006 | 56 | |
| 6 | 1998 | 53 | |
| 7 | 2001 | 29 | |
| 8 | 2009 | 23 | |
| 9 | 2011 | 23 | |
| 10 | 1999 | 23 | |
| 11 | 2004 | 20 |
About Dan Zekzer
Dan Zekzer is a scholar working on Immunology, Genetics, Surgery, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 11 papers that have together received 831 indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Pancreatic function and diabetes (3 papers), Immunotherapy and Immune Responses (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Advanced Glycation End Products research (1 paper) and Zebrafish Biomedical Research Applications (1 paper). The work is most often cited by research in Immunology (508 citations), Genetics (380 citations), Endocrinology, Diabetes and Metabolism (129 citations), Biological Psychiatry (16 citations) and Transplantation (14 citations). Dan Zekzer has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Daniel L. Kaufman, Jide Tian, Angelica Olcott, Yuxin Lu, F. Susan Wong, Martha Altieri, Isabelle Millet, S Shintani, Michele Solimena and Oran Ayalon. Their work appears in journals such as The Journal of Immunology, Diabetes, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences and Immunological Reviews.
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.