Dan Serban
Impact in
- Neurology top 1%
- Neurological diseases and metabolism
- Alcoholism and Thiamine Deficiency
- Nutrition and Dietetics top 1%
- Trace Elements in Health
Papers in
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- Neurological diseases and metabolism 2
-
- Trace Elements in Health 2
- Co-authors
- Stanley Ben Prusiner (4 shared papers)Stephen J. DeArmond (3 shared papers)David A. Westaway (2 shared papers)Marilyn Torchia (2 shared papers)Darlene Groth (2 shared papers)Carol A. Mirenda (2 shared papers)Michael Scott (2 shared papers)DALLAS B. FOSTER (2 shared papers)
- Journals
- Immunology Letters (2 papers)Cell (2 papers)Journal of Immunological Methods (1 paper)Neurology (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Dan Serban
7 papers receiving 1.6k citations
Dan Serban's Hit Papers
Peers
Comparison fields: 5 of 57
- Neurology 944
- Nutrition and Dietetics 652
- Molecular Biology 1.6k
- Physiology 108
- Biochemistry 29
Countries citing papers authored by Dan Serban
This map shows the geographic impact of Dan Serban'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 Serban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Serban more than expected).
Fields of papers citing papers by Dan Serban
This network shows the impact of papers produced by Dan Serban. 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 Serban. The network helps show where Dan Serban may publish in the future.
Co-authors
The 19 scholars most cited alongside Dan Serban, 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 | Transgenetic studies implicate interactions between homologous PrP isoforms in scrapie prion replication Hit paper breakdown → | 1990 | 733 |
| 2 | Transgenic mice expressing hamster prion protein produce species-specific scrapie infectivity and amyloid plaques Hit paper breakdown → | 1989 | 594 |
| 3 | 1990 | 185 | |
| 4 | 1990 | 77 | |
| 5 | 1981 | 21 | |
| 6 | 1986 | 12 | |
| 7 | 1988 | 3 |
About Dan Serban
Dan Serban is a scholar working on Neurology, Nutrition and Dietetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (4 papers), Animal Genetics and Reproduction (2 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Trace Elements in Health (2 papers), Neurological diseases and metabolism (2 papers), Complement system in diseases (1 paper) and Proteins in Food Systems (1 paper). The work is most often cited by research in Neurology (944 citations), Nutrition and Dietetics (652 citations), Molecular Biology (1.6k citations), Physiology (108 citations) and Biochemistry (29 citations). Dan Serban has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Stanley Ben Prusiner, Stephen J. DeArmond, David A. Westaway, Marilyn Torchia, Darlene Groth, Carol A. Mirenda, Michael Scott, DALLAS B. FOSTER, George A. Carlson and Keh‐Ming Pan. Their work appears in journals such as Immunology Letters, Cell, Journal of Immunological Methods, Neurology and Biochemistry.
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.