Curt M. Horvath

19.3k citations
112 papers · 15.3k indexed · 5 hit papers · h-index 64
Topics
interferon and immune responses (66 papers)Cytokine Signaling Pathways and Interactions (39 papers)Virology and Viral Diseases (26 papers)

In The Last Decade

Curt M. Horvath

111 papers receiving 15.0k citations

Hit Papers

A Road Map for Those Who Don't Know JAK-STAT1994202620042015200219961994199820222505007501000

Peers

Curt M. Horvath
Comparison fields: 5 of 133
  • Immunology 7.4k
  • Molecular Biology 6.0k
  • Oncology 5.6k
  • Epidemiology 3.6k
  • Infectious Diseases 2.0k
Replace Tohru Tsujimura with:
Tohru Tsujimura Japan
J. Fernando Bazán United States
Michel L. Tremblay Canada
Ueli Gubler United States
David Wallach Israel
Christian Schindler United States
Fenghe Du United States
Menachem Rubinstein Israel
Dale I. Godfrey Australia
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Curt M. Horvath relative to Tohru Tsujimura Japan Tohru Tsujimura's profile →
Citations per field
00.5×1.5×2.0×
Tohru Tsujimura · 1×
Citations per year

Countries citing papers authored by Curt M. Horvath

Since Specialization
Citations

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

Fields of papers citing papers by Curt M. Horvath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curt M. Horvath. 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 Curt M. Horvath. The network helps show where Curt M. Horvath may publish in the future.

Co-authorship network of co-authors of Curt M. Horvath

This figure shows the co-authorship network connecting the top 25 collaborators of Curt M. Horvath. A scholar is included among the top collaborators of Curt M. Horvath 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 Curt M. Horvath. Curt M. Horvath 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 10
2 20
3 44
4 50
5 5
6 7
7 38
8 60
9 101
10 75
11 61
12 19
13 242
14 92
15 56
16 56
17 194
18
Stat3 Activation Is Required for Cellular Transformation by v- srcbreakdown →
553
19
Interferon activation of the transcription factor Stat91 involves dimerization through SH2-phosphotyrosyl peptide interactionsbreakdown →
709
20 53

About Curt M. Horvath

Curt M. Horvath is a scholar working on Immunology, Oncology and Cancer Research, having authored 112 papers that have together received 15.3k indexed citations. Recurring topics across this work include interferon and immune responses (66 papers), Cytokine Signaling Pathways and Interactions (39 papers) and Virology and Viral Diseases (26 papers). The work is most often cited by research in Immunology (7.4k citations), Oncology (5.6k citations) and Endocrine and Autonomic Systems (855 citations). Curt M. Horvath has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include James Darnell, David S. Aaronson, Jean-Patrick Parisien, Jason J. Rodriguez, Wen Zhou, Annie M. Bruns, Robert A. Lamb, Akihiko Komuro, Jacqueline Bromberg and George R. Stark. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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