Ken Schooley

7.6k total citations · 4 hit papers
17 papers, 6.5k citations indexed

About

Ken Schooley is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ken Schooley has authored 17 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ken Schooley's work include Cell death mechanisms and regulation (5 papers), Immune Response and Inflammation (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ken Schooley is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Immune Response and Inflammation (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ken Schooley collaborates with scholars based in United States, Canada and France. Ken Schooley's co-authors include Raymond G. Goodwin, Craig A. Smith, Terri Smith, Pamela J. Smolak, Steven R. Wiley, Jillian Nicholl, Wenie S. Din, Charles T. Rauch, Mark R. Alderson and Teresa W. Tough and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Ken Schooley

16 papers receiving 6.3k citations

Hit Papers

Identification and characterization of a new member of th... 1990 2026 2002 2014 1995 1990 1995 1993 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Schooley United States 15 3.3k 3.3k 996 913 839 17 6.5k
R. Chris Bleackley Canada 43 3.3k 1.0× 3.2k 1.0× 1.1k 1.1× 561 0.6× 1.4k 1.7× 97 7.0k
Arda Shahinian Canada 29 3.4k 1.0× 6.3k 1.9× 1.8k 1.8× 1.5k 1.6× 792 0.9× 38 9.4k
Irina A. Udalova United Kingdom 43 1.9k 0.6× 3.9k 1.2× 864 0.9× 964 1.1× 1.0k 1.2× 93 6.8k
Kazuo Kinoshita Japan 47 3.7k 1.1× 5.8k 1.7× 1.5k 1.5× 719 0.8× 1.4k 1.7× 146 11.4k
Roland Rad Germany 41 3.4k 1.0× 2.8k 0.8× 1.4k 1.4× 769 0.8× 485 0.6× 136 7.6k
Susheela Tridandapani United States 49 3.1k 0.9× 3.0k 0.9× 1.1k 1.1× 742 0.8× 413 0.5× 115 6.4k
Kenji Kishihara Japan 35 2.1k 0.6× 6.0k 1.8× 1.4k 1.4× 559 0.6× 853 1.0× 97 8.4k
José L. Fernández-Luna Spain 35 3.1k 0.9× 2.3k 0.7× 2.0k 2.0× 834 0.9× 606 0.7× 94 6.8k
Glenn E. Nedwin United States 15 2.3k 0.7× 3.0k 0.9× 1.3k 1.3× 504 0.6× 461 0.5× 21 6.1k
P H Krammer Germany 30 3.0k 0.9× 3.8k 1.1× 958 1.0× 677 0.7× 881 1.1× 38 6.5k

Countries citing papers authored by Ken Schooley

Since Specialization
Citations

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

Fields of papers citing papers by Ken Schooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Schooley

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

All Works

17 of 17 papers shown
1.
Schooley, Ken, et al.. (2025). A Case Report of Disseminated Intravascular Coagulation After Intrauterine Fetal Demise. Cureus. 17(7). e88728–e88728.
3.
Jesus, Adriana A. de, Clóvis A. Silva, Peter W. Kim, et al.. (2011). A novel mutation of IL1RN in the deficiency of interleukin-1 receptor antagonist syndrome: Description of two unrelated cases from Brazil. Arthritis & Rheumatism. 63(12). 4007–4017. 75 indexed citations
4.
Hasegawa, Haruki, Heather J. Thomas, Ken Schooley, & Teresa L. Born. (2010). Native IL-32 is released from intestinal epithelial cells via a non-classical secretory pathway as a membrane-associated protein. Cytokine. 53(1). 74–83. 56 indexed citations
5.
Fanger, Neil A., Charles R. Maliszewski, Ken Schooley, & Thomas S. Griffith. (1999). Human Dendritic Cells Mediate Cellular Apoptosis via Tumor Necrosis Factor–Related Apoptosis-Inducing Ligand (Trail). The Journal of Experimental Medicine. 190(8). 1155–1164. 338 indexed citations
6.
Marcus, Aaron J., M. Johan Broekman, Joan H.F. Drosopoulos, et al.. (1997). The endothelial cell ecto-ADPase responsible for inhibition of platelet function is CD39.. Journal of Clinical Investigation. 99(6). 1351–1360. 324 indexed citations
7.
Smith, Craig A., Terri Smith, Pamela J. Smolak, et al.. (1997). Poxvirus Genomes Encode a Secreted, Soluble Protein That Preferentially Inhibits β Chemokine Activity yet Lacks Sequence Homology to Known Chemokine Receptors. Virology. 236(2). 316–327. 158 indexed citations
8.
Alderson, Mark R., Teresa W. Tough, Terri Davis‐Smith, et al.. (1995). Fas ligand mediates activation-induced cell death in human T lymphocytes.. The Journal of Experimental Medicine. 181(1). 71–77. 812 indexed citations breakdown →
9.
Debili, Najet, Fabrice Wendling, David Cosman, et al.. (1995). The Mpl receptor is expressed in the megakaryocytic lineage from late progenitors to platelets. Blood. 85(2). 391–401. 237 indexed citations
10.
Wiley, Steven R., Ken Schooley, Pamela J. Smolak, et al.. (1995). Identification and characterization of a new member of the TNF family that induces apoptosis. Immunity. 3(6). 673–682. 2479 indexed citations breakdown →
11.
Debili, Najet, Fabrice Wendling, David Cosman, et al.. (1995). The Mpl receptor is expressed in the megakaryocytic lineage from late progenitors to platelets. Blood. 85(2). 391–401. 24 indexed citations
12.
Cheng, Linzhao, David P. Gearing, Lynn S. White, et al.. (1994). Role of leukemia inhibitory factor and its receptor in mouse primordial germ cell growth. Development. 120(11). 3145–3153. 94 indexed citations
13.
Alderson, Mark R., Teresa W. Tough, Steven C. Braddy, et al.. (1994). Regulation of apoptosis and T cell activation by Fas-specific mAb. International Immunology. 6(11). 1799–1806. 96 indexed citations
14.
Alderson, Mark R., Richard J. Armitage, Eugene Maraskovsky, et al.. (1993). Fas transduces activation signals in normal human T lymphocytes.. The Journal of Experimental Medicine. 178(6). 2231–2235. 460 indexed citations breakdown →
15.
Finkelman, F D, J M Holmes, I M Katona, et al.. (1990). Lymphokine Control of In Vivo Immunoglobulin Isotype Selection. Annual Review of Immunology. 8(1). 303–333. 1162 indexed citations breakdown →
16.
Beckmann, M P, Ken Schooley, Byron Gallis, et al.. (1990). Monoclonal antibodies block murine IL-4 receptor function.. The Journal of Immunology. 144(11). 4212–4217. 66 indexed citations
17.
Dower, Steven, J Wignall, Ken Schooley, et al.. (1989). Retention of ligand binding activity by the extracellular domain of the IL-1 receptor.. The Journal of Immunology. 142(12). 4314–4320. 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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