Roy Riblet

5.9k total citations · 1 hit paper
83 papers, 4.8k citations indexed

About

Roy Riblet is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Roy Riblet has authored 83 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 49 papers in Immunology and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Roy Riblet's work include Monoclonal and Polyclonal Antibodies Research (30 papers), T-cell and B-cell Immunology (29 papers) and Glycosylation and Glycoproteins Research (23 papers). Roy Riblet is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (30 papers), T-cell and B-cell Immunology (29 papers) and Glycosylation and Glycoproteins Research (23 papers). Roy Riblet collaborates with scholars based in United States, Canada and Germany. Roy Riblet's co-authors include James D. Watson, Peter H. Brodeur, Martin Weigert, Benjamin A. Taylor, Steven T. Kosak, Amanda G. Fisher, Michelle M. Le Beau, Jane A. Skok, Harinder Singh and Kay L. Medina and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Roy Riblet

83 papers receiving 4.4k citations

Hit Papers

Subnuclear Compartmentalization of Immunoglobulin Loci Du... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Riblet United States 36 2.6k 2.5k 1.3k 644 297 83 4.8k
Matthias Wabl United States 41 3.0k 1.1× 2.7k 1.1× 1.3k 1.0× 505 0.8× 208 0.7× 127 5.6k
Edward E. Max United States 40 2.7k 1.0× 2.7k 1.1× 1.4k 1.1× 504 0.8× 301 1.0× 78 5.6k
B. David Stollar United States 38 2.2k 0.8× 1.7k 0.7× 2.1k 1.7× 297 0.5× 243 0.8× 90 4.5k
Norman R. Klinman United States 48 4.7k 1.8× 2.0k 0.8× 2.4k 1.9× 486 0.8× 310 1.0× 137 6.6k
R. Duncan Campbell United Kingdom 40 2.9k 1.1× 2.7k 1.1× 468 0.4× 1.0k 1.6× 858 2.9× 84 6.0k
Pierre‐André Cazenave France 39 3.9k 1.5× 1.9k 0.8× 1.9k 1.5× 526 0.8× 250 0.8× 251 6.0k
Patricia P. Jones United States 31 2.2k 0.8× 1.3k 0.5× 1.1k 0.8× 398 0.6× 139 0.5× 69 3.5k
E S Vitetta United States 43 4.1k 1.6× 1.5k 0.6× 1.6k 1.3× 396 0.6× 379 1.3× 122 5.6k
Ken‐ichi Arai Japan 35 2.0k 0.8× 2.3k 0.9× 396 0.3× 711 1.1× 180 0.6× 94 4.7k
Bradford A. Jameson United States 31 930 0.4× 1.3k 0.5× 545 0.4× 361 0.6× 431 1.5× 60 3.5k

Countries citing papers authored by Roy Riblet

Since Specialization
Citations

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

Fields of papers citing papers by Roy Riblet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Riblet

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Riblet. A scholar is included among the top collaborators of Roy Riblet 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 Roy Riblet. Roy Riblet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Retter, Ida, Christophe Chevillard, Maren Scharfe, et al.. (2007). Sequence and Characterization of the Ig Heavy Chain Constant and Partial Variable Region of the Mouse Strain 129S1. The Journal of Immunology. 179(4). 2419–2427. 42 indexed citations
3.
4.
Chevillard, Christophe, et al.. (2002). A Three-Megabase Yeast Artificial Chromosome Contig Spanning the C57BL Mouse Igh Locus. The Journal of Immunology. 168(11). 5659–5666. 38 indexed citations
5.
Williams, G. Stuart, Alina P. Montalbano, Kisani M. Ogwaro, et al.. (2001). Unequal VH Gene Rearrangement Frequency Within the Large VH7183 Gene Family Is Not Due to Recombination Signal Sequence Variation, and Mapping of the Genes Shows a Bias of Rearrangement Based on Chromosomal Location. The Journal of Immunology. 167(1). 257–263. 49 indexed citations
6.
Ermakova, Olga, Lam H. Nguyen, Randall D. Little, et al.. (1999). Evidence that a Single Replication Fork Proceeds from Early to Late Replicating Domains in the IgH Locus in a Non–B Cell Line. Molecular Cell. 3(3). 321–330. 63 indexed citations
7.
Müller‐Sieburg, Christa E. & Roy Riblet. (1996). Genetic control of the frequency of hematopoietic stem cells in mice: mapping of a candidate locus to chromosome 1.. The Journal of Experimental Medicine. 183(3). 1141–1150. 95 indexed citations
8.
Becker, B, et al.. (1996). Variation and evolution of Class I Mhc in sexual and parthenogenetic geckos. Proceedings of the Royal Society B Biological Sciences. 263(1373). 1023–1032. 28 indexed citations
9.
Wettstein, Peter J., Michael Strausbauch, Jack S. States, et al.. (1995). Phylogeny of 6 Sciurus aberti Subspecies Based On Nucleotide Sequences of Cytochrome b. Molecular Phylogenetics and Evolution. 4(2). 150–162. 31 indexed citations
10.
Reeves, Roger H., Robert D. Miller, & Roy Riblet. (1991). Mouse chromosome 16. Mammalian Genome. 1(S1). S269–S279. 3 indexed citations
11.
Miller, Robert D., et al.. (1989). Genetic mapping of mouseT3d andT3e betweenApoa1 andNcam. Immunogenetics. 30(6). 511–514. 7 indexed citations
12.
Moran, Thomas M., Marc Monestier, Alexander Lai, et al.. (1987). Characterization of Variable-Region Genes and Shared Crossreactive Idiotypes of Antibodies Specific for Antigens of Various Influenza Viruses. Viral Immunology. 1(1). 1–12. 21 indexed citations
13.
Riblet, Roy, et al.. (1986). Polymorphism and Evolution of Igh-V Gene Families. Current topics in microbiology and immunology. 127. 167–172. 15 indexed citations
14.
Owen, Frances L. & Roy Riblet. (1984). Genes for the mouse T cell alloantigens Tpre, Tthy, Tind, and Tsu are closely linked near Igh on chromosome 12.. The Journal of Experimental Medicine. 159(1). 313–317. 16 indexed citations
15.
Owen, Frances L., Roy Riblet, & Benjamin A. Taylor. (1981). The T suppressor cell alloantigen Tsud maps near immunoglobulin allotype genes and may be an heavy chain constant-region marker on a T cell receptor.. The Journal of Experimental Medicine. 153(4). 801–810. 68 indexed citations
16.
Lindahl, K F, et al.. (1980). Maternally transmitted target antigen for unrestricted killing by NZB T lymphocytes.. The Journal of Experimental Medicine. 152(6). 1583–1595. 48 indexed citations
17.
Skidmore, Barry J., Jacques M. Chiller, W O Weigle, Roy Riblet, & J D Watson. (1976). Immunologic properties of bacterial lipopolysaccharide (LPS). III. Genetic linkage between the in vitro mitogenic and in vivo adjuvant properties of LPS.. The Journal of Experimental Medicine. 143(1). 143–150. 48 indexed citations
18.
Trenkner, Ekkhart & Roy Riblet. (1975). Induction of antiphosphorylcholine antibody formation by anti-idiotypic antibodies.. The Journal of Experimental Medicine. 142(5). 1121–1132. 100 indexed citations
19.
Watson, James D. & Roy Riblet. (1974). GENETIC CONTROL OF RESPONSES TO BACTERIAL LIPOPOLYSACCHARIDES IN MICE. The Journal of Experimental Medicine. 140(5). 1147–1161. 302 indexed citations
20.
Herzenberg, Leonore A., et al.. (1973). ACTIVE SUPPRESSION OF IMMUNOGLOBULIN ALLOTYPE SYNTHESIS. The Journal of Experimental Medicine. 137(6). 1311–1324. 88 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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