George R. Stark

65.2k citations
349 papers · 54.9k indexed · 21 hit papers · h-index 112
Topics
Cytokine Signaling Pathways and Interactions (107 papers)interferon and immune responses (84 papers)NF-κB Signaling Pathways (65 papers)

In The Last Decade

George R. Stark

347 papers receiving 51.8k citations

Hit Papers

Jak-STAT Pathways and Transcriptional Act...19602026198220041994199819791977200110002.0k3.0k4.0k5.0k

Peers

George R. Stark
Comparison fields: 5 of 177
  • Molecular Biology 27.8k
  • Oncology 20.9k
  • Immunology 19.8k
  • Cancer Research 7.3k
  • Genetics 5.3k
Replace Stanley J. Korsmeyer with:
Stanley J. Korsmeyer United States
James Darnell United States
Patrick A. Baeuerle Germany
David V. Goeddel United States
Tadamitsu Kishimoto Japan
Ira Pastan United States
Michael T. Lotze United States
Michael B. Sporn United States
Lorenzo Galluzzi France
John C. Reed United States
George R. Stark relative to Stanley J. Korsmeyer United States Stanley J. Korsmeyer's profile →
Citations per field
00.5×
Stanley J. Korsmeyer · 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 of co-authors of George R. Stark

This figure shows the co-authorship network connecting the top 25 collaborators of George R. Stark. A scholar is included among the top collaborators of George R. Stark 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 George R. Stark. George R. Stark 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
#WorkIndexed citations
1 35
2 50
3 37
4 38
5 55
6 83
7 55
8 249
9 22
10
Interferons at age 50: past, current and future impact on biomedicinebreakdown →
904
11 147
12 49
13
CARD4/Nod1 mediates NF‐κB and JNK activation by invasive Shigella flexneribreakdown →
503
14 211
15 54
16 56
17 71
18 128
19 17
20 86

About George R. Stark

George R. Stark is a scholar working on Oncology, Immunology and Cancer Research, having authored 349 papers that have together received 54.9k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (107 papers), interferon and immune responses (84 papers) and NF-κB Signaling Pathways (65 papers). The work is most often cited by research in Immunology (19.8k citations), Oncology (20.9k citations) and Cancer Research (7.3k citations). George R. Stark has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include James Darnell, Ian M. Kerr, Geoffrey M. Wahl, Michael Stern, Robert D. Schreiber, Robert H. Silverman, James C. Alwine, Bryan Williams, Xiaoxia Li and William R. Taylor. 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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