D. Serban

20 papers receiving 1.6k citations

Peers

D. Serban
Comparison fields: 5 of 66
  • Neurology 949
  • Nutrition and Dietetics 676
  • Molecular Biology 1.5k
  • Virology 45
  • Immunology 156
Replace Ruliang Li with:
Ruliang Li United States
Carol A. Mirenda United States
Sabine Gauczynski Germany
Dietrich Simon Germany
Susan M. Uptain United States
Stuart Martin United Kingdom
Yoshiyuki Sakaki Japan
Franziska Kühn Germany
Emery W. Smith United States
Abbi L. Engel United States
D. Serban relative to Ruliang Li United States Ruliang Li's profile →
Citations per field
00.5×2×2.8×
Ruliang Li · 1×
Citations per year

Countries citing papers authored by D. Serban

Since Specialization
Citations

This map shows the geographic impact of D. 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 D. Serban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Serban more than expected).

Fields of papers citing papers by D. Serban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. 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 D. Serban. The network helps show where D. Serban may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Serban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Serban Line = papers co-authored together D. Serban links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1992287
2 1990243
3 1992231
4
Ultrastructural localization of scrapie prion proteins in cytoplasmic vesicles of infected cultured cells.
1991175
5 1991175
6 1990148
7 2000118
8 199192
9 199380
10 199274
11 198530
12 197620
13
Serum amyloid P component and autoimmune parameters in the assessment of arthritis activity in MRL/lpr/lpr mice.
198515
14 198214
15 199012
16 198610
17 19878
18 19867
19 19921
20 19901

About D. Serban

D. Serban is a scholar working on Neurology, Molecular Biology, Nutrition and Dietetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (10 papers), Neurological diseases and metabolism (7 papers), Trace Elements in Health (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Protein purification and stability (2 papers), Virus-based gene therapy research (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Neurology (949 citations), Nutrition and Dietetics (676 citations), Molecular Biology (1.5k citations), Virology (45 citations) and Immunology (156 citations). D. Serban has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Stanley Ben Prusiner, Albert Taraboulos, David Borchelt, Stephen J. DeArmond, Songbai Yang, Klaus Jendroska, Alex J. Raeber, Michael Scott, Mark S. Rogers and Orso Bugiani. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Journal of Neuropathology & Experimental Neurology, Scandinavian Journal of Immunology and Inflammation Research.

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.

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