George R. Stark

4.2k citations
17 papers · 3.5k indexed · 3 hit papers · h-index 9

George R. Stark

17 papers receiving 3.4k citations

Hit Papers

The JAK-STAT Pathway at Twenty1.2k19922026200320142505007501000

Peers

George R. Stark
Comparison fields: 5 of 102
  • Immunology 1.9k
  • Oncology 2.0k
  • Pharmacology 254
  • Cancer Research 393
  • Genetics 257
Replace Oscar R. Colamonici with:
Oscar R. Colamonici United States
Ichiko Kinjyo Japan
Hiroshi Wakao Japan
Seijiro Minamoto Japan
Hironobu Asao Japan
Cora D. Arthur United States
Alessandra B. Pernis United States
Motoo Kitagawa Japan
Subburaj Ilangumaran Canada
Harjit Dadi Canada
George R. Stark relative to Oscar R. Colamonici United States Oscar R. Colamonici's profile →
Citations per field
00.5×4.0×
Oscar R. Colamonici · 1×
Citations per year

Countries citing papers authored by George R. Stark

Since Specialization
Citations

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

Fields of papers citing papers by George R. Stark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George R. Stark. 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 George R. Stark. The network helps show where George R. Stark may publish in the future.

Co-authorship network

The 25 scholars most cited alongside George R. Stark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with George R. Stark Line = papers co-authored together George R. Stark links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20202
2 20151
3 20151
4 20137
5
The JAK-STAT Pathway at Twentybreakdown →
20121174
6 2011206
7
New approaches to the treatment of advanced prostate cancer.
20011
8 19975
9 1995363
10 1994137
11 1993141
12
The protein tyrosine kinase JAK1 complements defects in interferon-α/β and -γ signal transductionbreakdown →
1993669
13
A protein tyrosine kinase in the interferon αβ signaling pathwaybreakdown →
1992753
14 19888
15 198823
16 19661
17
[Antibacterial effect of acriflavin and of cetyltrimethylammonium bromide in various ointment bases].
19541

About George R. Stark

George R. Stark is a scholar working on Oncology, Immunology and Immunology and Allergy, having authored 17 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (8 papers), interferon and immune responses (2 papers), DNA Repair Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Prostate Cancer Treatment and Research (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers) and Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Immunology (1.9k citations), Oncology (2.0k citations) and Pharmacology (254 citations). George R. Stark has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include James Darnell, Sandra Pellegrini, Marc Fellous, Laura Evelia Torres Velázquez, Markus H. Heim, Olli Silvennoinen, Andrew F. Wilks, Andrew Ziemiecki, Bruce A. Witthuhn and Chris Schindler. Their work appears in journals such as Nature, Science and Cell.

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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2026