Ken Schooley
- Immunology top 0.5%
- Immune Response and Inflammation 4
- Cancer Research top 2%
- Virology top 2%
- Molecular Biology top 2%
- Cell death mechanisms and regulation 5
- Glycosylation and Glycoproteins Research 2
- RNA Interference and Gene Delivery 2
- Inflammasome and immune disorders 2
- Physiology top 1%
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- Monoclonal and Polyclonal Antibodies Research 4
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- Platelet Disorders and Treatments 2
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- Pregnancy and preeclampsia studies 1
- Co-authors
- Raymond G. GoodwinCraig A. SmithPamela J. SmolakTerri SmithCharles T. RauchJillian NichollSteven R. WileyWenie S. Din
- Cited by
- ImmunologyCancer ResearchVirology
- Journals
- The Journal of Experimental Medicine (3 papers)Blood (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Ken Schooley
16 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 3.3k
- Cancer Research 913
- Virology 262
- Molecular Biology 3.3k
- Physiology 216
Countries citing papers authored by Ken Schooley
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
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
The 25 scholars most cited alongside Ken Schooley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2011 | 75 | |
| 4 | 2010 | 56 | |
| 5 | 1999 | 338 | |
| 6 | 1997 | 324 | |
| 7 | 1997 | 158 | |
| 8 | Fas ligand mediates activation-induced cell death in human T lymphocytes.breakdown → | 1995 | 812 |
| 9 | Identification and characterization of a new member of the TNF family that induces apoptosisbreakdown → | 1995 | 2479 |
| 10 | 1995 | 237 | |
| 11 | 1995 | 24 | |
| 12 | 1994 | 96 | |
| 13 | 1994 | 94 | |
| 14 | Fas transduces activation signals in normal human T lymphocytes.breakdown → | 1993 | 460 |
| 15 | Lymphokine Control of In Vivo Immunoglobulin Isotype Selectionbreakdown → | 1990 | 1162 |
| 16 | 1990 | 66 | |
| 17 | 1989 | 94 |
About Ken Schooley
Ken Schooley is a scholar working on Immunology, Hematology and Physiology, having authored 17 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Immune Response and Inflammation (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (2 papers), Platelet Disorders and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Inflammasome and immune disorders (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Immunology (3.3k citations), Cancer Research (913 citations) and Virology (262 citations). Ken Schooley has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Raymond G. Goodwin, Craig A. Smith, Pamela J. Smolak, Terri Smith, Charles T. Rauch, Jillian Nicholl, Steven R. Wiley, Wenie S. Din, Mark R. Alderson and David H. Lynch. Their work appears in journals such as The Journal of Experimental Medicine, Blood, The Journal of Immunology, Annual Review of Immunology and Immunity.
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.