Kevin Ryder

3.7k total citations · 2 hit papers
19 papers, 3.4k citations indexed

About

Kevin Ryder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Kevin Ryder has authored 19 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Kevin Ryder's work include Nuclear Receptors and Signaling (5 papers), Retinoids in leukemia and cellular processes (4 papers) and T-cell and B-cell Immunology (3 papers). Kevin Ryder is often cited by papers focused on Nuclear Receptors and Signaling (5 papers), Retinoids in leukemia and cellular processes (4 papers) and T-cell and B-cell Immunology (3 papers). Kevin Ryder collaborates with scholars based in United States. Kevin Ryder's co-authors include Daniel Nathans, Lester F. Lau, Yusaku Nakabeppu, Anthony A. Lanahan, Evelio Perez‐Albuerne, P Tegtmeyer, A L DeLucia, David Saffen, P F Worley and Jay M. Baraban and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kevin Ryder

19 papers receiving 3.3k citations

Hit Papers

DNA binding activities of three murine Jun proteins: Stim... 1988 2026 2000 2013 1988 1988 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Ryder United States 14 2.3k 839 610 574 388 19 3.4k
Diana Quon United States 20 2.3k 1.0× 517 0.6× 539 0.9× 350 0.6× 295 0.8× 22 3.6k
Ned Mantei Switzerland 40 2.9k 1.2× 912 1.1× 1.5k 2.4× 629 1.1× 941 2.4× 58 5.5k
M R Lerner United States 28 2.3k 1.0× 893 1.1× 475 0.8× 452 0.8× 623 1.6× 32 4.2k
Birgitta Olofsson France 25 2.9k 1.3× 502 0.6× 339 0.6× 850 1.5× 264 0.7× 38 3.8k
Felix Rintelen Switzerland 10 1.3k 0.6× 967 1.2× 299 0.5× 221 0.4× 694 1.8× 10 2.6k
M R Green United States 17 2.9k 1.2× 245 0.3× 688 1.1× 302 0.5× 319 0.8× 20 3.5k
Marc Glucksman United States 28 1.4k 0.6× 544 0.6× 392 0.6× 530 0.9× 87 0.2× 53 2.5k
Paul O. Sheppard United States 22 1.9k 0.8× 1.1k 1.3× 401 0.7× 199 0.3× 215 0.6× 26 3.1k
Stefano Biffo Italy 34 3.9k 1.6× 644 0.8× 556 0.9× 406 0.7× 434 1.1× 105 5.4k
M G Rosenfeld United States 40 3.1k 1.3× 840 1.0× 906 1.5× 566 1.0× 340 0.9× 52 4.7k

Countries citing papers authored by Kevin Ryder

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Ryder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Ryder

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

All Works

19 of 19 papers shown
1.
Steinberg, Gary D., Norm D. Smith, Kevin Ryder, Nicole Strangman, & Simon J. Slater. (2011). Factors Affecting Valrubicin Response in Patients with Bacillus Calmette-Guérin–Refractory Bladder Carcinoma in Situ. Postgraduate Medicine. 123(3). 28–34. 11 indexed citations
2.
Phinney, Donald G., et al.. (1996). Chromosomal integration dependent induction of junB by growth factors requires multiple flanking evolutionarily conserved sequences.. PubMed. 13(9). 1875–83. 3 indexed citations
3.
Francis, Mary Kay, Donald G. Phinney, & Kevin Ryder. (1995). Analysis of the Hormone-dependent Regulation of a JunD-Estrogen Receptor Chimera. Journal of Biological Chemistry. 270(19). 11502–11513. 16 indexed citations
4.
5.
Phinney, Donald G., et al.. (1994). Quantitative analysis of the contribution made by 5'-flanking and 3'-flanking sequences to the transcriptional regulation of junB by growth factors.. PubMed. 9(8). 2353–62. 16 indexed citations
6.
DuBois, Raymond N., et al.. (1990). A growth factor-inducible nuclear protein with a novel cysteine/histidine repetitive sequence.. Journal of Biological Chemistry. 265(31). 19185–19191. 221 indexed citations
7.
Ryder, Kevin, Anthony A. Lanahan, Evelio Perez‐Albuerne, & Daniel Nathans. (1989). jun-D: a third member of the jun gene family.. Proceedings of the National Academy of Sciences. 86(5). 1500–1503. 428 indexed citations
8.
Hartzell, S W, Kevin Ryder, Anthony A. Lanahan, Lester F. Lau, & Daniel Nathans. (1989). A Growth Factor-Responsive Gene of Murine BALB/c 3T3 Cells Encodes a Protein Homologous to Human Tissue Factor. Molecular and Cellular Biology. 9(6). 2567–2573. 27 indexed citations
9.
Hartzell, S W, Kevin Ryder, Anthony A. Lanahan, Lester F. Lau, & David G. Nathan. (1989). A growth factor-responsive gene of murine BALB/c 3T3 cells encodes a protein homologous to human tissue factor.. Molecular and Cellular Biology. 9(6). 2567–2573. 118 indexed citations
10.
Nakabeppu, Yusaku, Kevin Ryder, & Daniel Nathans. (1988). DNA binding activities of three murine Jun proteins: Stimulation by Fos. Cell. 55(5). 907–915. 736 indexed citations breakdown →
11.
Saffen, David, et al.. (1988). Convulsant-induced increase in transcription factor messenger RNAs in rat brain.. Proceedings of the National Academy of Sciences. 85(20). 7795–7799. 345 indexed citations
12.
Ryder, Kevin, et al.. (1988). The role of operator position in SV40 T-antigen-mediated repression. Virology. 167(1). 293–295. 6 indexed citations
13.
Ryder, Kevin, Lester F. Lau, & Daniel Nathans. (1988). A gene activated by growth factors is related to the oncogene v-jun.. Proceedings of the National Academy of Sciences. 85(5). 1487–1491. 720 indexed citations breakdown →
14.
Ryder, Kevin & Daniel Nathans. (1988). Induction of protooncogene c-jun by serum growth factors.. Proceedings of the National Academy of Sciences. 85(22). 8464–8467. 401 indexed citations
15.
Ryder, Kevin, Sandra Silver, A L DeLucia, Ellen Fanning, & P Tegtmeyer. (1986). An altered DNA conformation in origin region I is a determinant for the binding of SV40 large T antigen. Cell. 44(5). 719–725. 180 indexed citations
16.
Ryder, Kevin, Evangelia Vakalopoulou, Ronald Mertz, et al.. (1985). Seventeen base pairs of region I encode a novel tripartite binding signal for SV40 T antigen. Cell. 42(2). 539–548. 62 indexed citations
17.
Hough, P.V.C., Iris A. Mastrangelo, Joseph S. Wall, et al.. (1985). STEM Footprints and Bound Mass Distributions for DNA Control Proteins. Nature Biotechnology. 3(6). 549–553. 2 indexed citations
18.
Ryder, Kevin, A L DeLucia, & P Tegtmeyer. (1983). Binding of SV40 a protein to the BK virus origin of DNA replication. Virology. 129(1). 239–245. 27 indexed citations
19.
Tegtmeyer, P, et al.. (1983). Topography of simian virus 40 A protein-DNA complexes: arrangement of protein bound to the origin of replication. Journal of Virology. 46(1). 151–161. 94 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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