Dan Serban

1.9k total citations · 2 hit papers
7 papers, 1.5k citations indexed

About

Dan Serban is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Dan Serban has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Neurology. Recurrent topics in Dan Serban's work include Prion Diseases and Protein Misfolding (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Neurological diseases and metabolism (2 papers). Dan Serban is often cited by papers focused on Prion Diseases and Protein Misfolding (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Neurological diseases and metabolism (2 papers). Dan Serban collaborates with scholars based in United States, Israel and Switzerland. Dan Serban's co-authors include Stanley B. Prusiner, Stephen J. DeArmond, Michael Scott, C. Mirenda, David Westaway, Dallas Foster, Marilyn Torchia, Darlene Groth, George A. Carlson and Peter C. Hoppe and has published in prestigious journals such as Cell, Neurology and Biochemistry.

In The Last Decade

Dan Serban

7 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transgenetic studies implicate interactions between homologous PrP isoforms in scrapie prion replication

1990 700 citations Stanley B. Prusiner, Michael Scott et al. Cell profile →
Transgenic mice expressing hamster prion protein produce species-specific scrapie infectivity and amyloid plaques

1989 557 citations Michael Scott, Dallas Foster et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Serban United States	6	1.5k	929	653	103	97	7	1.5k
C. Mirenda United States	11	2.0k 1.3×	1.2k 1.3×	908 1.4×	114 1.1×	145 1.5×	12	2.0k
D. Serban United States	13	1.5k 1.0×	918 1.0×	679 1.0×	156 1.5×	39 0.4×	19	1.6k
Nathan R. Deleault United States	15	1.8k 1.2×	813 0.9×	739 1.1×	191 1.9×	45 0.5×	16	1.8k
Patrick J. Bosque United States	11	1.1k 0.7×	530 0.6×	397 0.6×	76 0.7×	35 0.4×	14	1.1k
Susan Joiner United Kingdom	24	2.1k 1.4×	1.2k 1.3×	780 1.2×	210 2.0×	28 0.3×	33	2.2k
Danielle Casanova France	12	782 0.5×	371 0.4×	336 0.5×	126 1.2×	24 0.2×	17	852
Prusiner Sb United States	8	651 0.4×	271 0.3×	231 0.4×	96 0.9×	38 0.4×	14	726
Doron Shmerling Switzerland	9	817 0.5×	420 0.5×	311 0.5×	69 0.7×	71 0.7×	14	900
Michele Halimi Israel	12	611 0.4×	314 0.3×	254 0.4×	59 0.6×	29 0.3×	17	686
Vincenza Campana France	12	685 0.5×	274 0.3×	245 0.4×	169 1.6×	19 0.2×	13	756

Countries citing papers authored by Dan Serban

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dan Serban

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Serban. A scholar is included among the top collaborators of Dan Serban based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Serban. Dan Serban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Oesch, Bruno, David B. Teplow, Neil Stahl, et al.. (1990). Identification of cellular proteins binding to the scrapie prion protein. Biochemistry. 29(24). 5848–5855. 73 indexed citations

2.

Prusiner, Stanley B., Michael Scott, Dallas Foster, et al.. (1990). Transgenetic studies implicate interactions between homologous PrP isoforms in scrapie prion replication. Cell. 63(4). 673–686. 700 indexed citations breakdown →

3.

Serban, Dan, Albert Taraboulos, Stephen J. DeArmond, & Stanley B. Prusiner. (1990). Rapid detection of Creutzfeldt‐Jakob disease and scrapie prion proteins. Neurology. 40(1). 110–110. 183 indexed citations

4.

Scott, Michael, Dallas Foster, C. Mirenda, et al.. (1989). Transgenic mice expressing hamster prion protein produce species-specific scrapie infectivity and amyloid plaques. Cell. 59(5). 847–857. 557 indexed citations breakdown →

5.

Serban, Dan & Isaac P. Witz. (1988). Further studies on the determinant recognized by naturally-occurring murine autoantibodies reacting with bromelain-treated erythrocytes. Immunology Letters. 18(3). 191–200. 3 indexed citations

6.

Serban, Dan, et al.. (1986). Quantitation of serum amyloid P component by an enzyme-linked immunoassay. Journal of Immunological Methods. 90(2). 159–164. 12 indexed citations

7.

Serban, Dan, et al.. (1981). The participation of trimethylammonium in the mouse erythrocyte epitope recognized by monoclonal autoantibodies. Immunology Letters. 3(5). 315–319. 20 indexed citations

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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