Jeffrey T. Laydon

4.1k citations
13 papers · 3.5k indexed · 1 hit paper · h-index 10
Topics
Cytokine Signaling Pathways and Interactions (6 papers)Inflammatory mediators and NSAID effects (5 papers)Synthesis and biological activity (3 papers)

In The Last Decade

Jeffrey T. Laydon

13 papers receiving 3.3k citations

Hit Papers

A protein kinase involved in the regulation of inflammato...1994202620042015199450010001.5k2.0k2.5k

Peers

Jeffrey T. Laydon
Comparison fields: 5 of 113
  • Molecular Biology 2.1k
  • Oncology 827
  • Immunology 812
  • Organic Chemistry 560
  • Cancer Research 551
Replace Timothy F. Gallagher with:
Timothy F. Gallagher United States
Ivo R. Siemens United States
Julie Keys United States
Megan M. McLaughlin United States
Carl L. Manthey United States
Michael H. Cardone United States
Megan J. Robinson United States
Violeta Yu United States
Niels Peter Hundahl Møller Denmark
Amardeep S. Dhillon Australia
Jeffrey T. Laydon relative to Timothy F. Gallagher United States Timothy F. Gallagher's profile →
Citations per field
00.5×1.5×
Timothy F. Gallagher · 1×
Citations per year

Countries citing papers authored by Jeffrey T. Laydon

Since Specialization
Citations

This map shows the geographic impact of Jeffrey T. Laydon'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 Jeffrey T. Laydon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey T. Laydon more than expected).

Fields of papers citing papers by Jeffrey T. Laydon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey T. Laydon. 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 Jeffrey T. Laydon. The network helps show where Jeffrey T. Laydon may publish in the future.

Co-authorship network of co-authors of Jeffrey T. Laydon

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 34
3 5
4 11
5 97
6 119
7
A protein kinase involved in the regulation of inflammatory cytokine biosynthesisbreakdown →
2949
8 7
9 9
10 117
11 18
12 12
13 71

About Jeffrey T. Laydon

Jeffrey T. Laydon is a scholar working on Pharmacology, Oncology and Virology, having authored 13 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Inflammatory mediators and NSAID effects (5 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Immunology (812 citations), Cancer Research (551 citations) and Immunology and Allergy (196 citations). Jeffrey T. Laydon has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John C. Lee, Peter McDonnell, Peter R. Young, Timothy F. Gallagher, Jerry L. Adams, John R. White, David I. S. Green, Julie Keys, Dean E. McNulty and Sanjay Kumar. Their work appears in journals such as Nature, Journal of Medicinal Chemistry and Journal of Immunological Methods.

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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