Sam Strickson

1.3k citations
14 papers · 1.1k · h-index 8

Impact in

    • NF-κB Signaling Pathways
  • Immunology top 10%
    • Immune Response and Inflammation
    • interferon and immune responses
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Response and Inflammation 4
    • T-cell and B-cell Immunology 3
    • IL-33, ST2, and ILC Pathways 1
    • NF-κB Signaling Pathways 4

Sam Strickson

12 papers receiving 1k citations

Peers

Sam Strickson
Comparison fields: 5 of 69
  • Cancer Research 244
  • Immunology 293
  • Molecular Biology 427
  • Oncology 56
  • Neurology 19
Replace Shuji Sakamoto with:
Shuji Sakamoto Japan
Katsuyuki Mitomo Japan
Anita Izrael-Tomasevic United States
Shaogang Sun United States
Hao Cheng China
James A. Rickard Australia
Yvonne Vercoulen Netherlands
Chryssa Kanellopoulou United States
Cynthia R. Giver United States
Jane M. Turbov United States
Sam Strickson relative to Shuji Sakamoto Japan Shuji Sakamoto's profile →
Citations per field
00.5×2×4×6.2×
Shuji Sakamoto · 1×
Citations per year

Countries citing papers authored by Sam Strickson

Since Specialization
Citations

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

Fields of papers citing papers by Sam Strickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Strickson. 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 Sam Strickson. The network helps show where Sam Strickson may publish in the future.

Co-authors

The 25 scholars most cited alongside Sam Strickson, 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 Sam Strickson Line = papers co-authored together Sam Strickson links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013380
2 2013180
3 2017101
4 201797
5 201696
6 202368
7 201767
8 201749
9 20246
10 20223
11 20222
12 20221
13 20260
14 20260

About Sam Strickson

Sam Strickson is a scholar working on Immunology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (3 papers), Cystic Fibrosis Research Advances (1 paper), Ubiquitin and proteasome pathways (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Respiratory viral infections research (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Cancer Research (244 citations), Immunology (293 citations), Molecular Biology (427 citations), Oncology (56 citations) and Neurology (19 citations). Sam Strickson has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Philip Cohen, Christoph H. Emmerich, J. Simon C. Arthur, Alban Ordureau, David Komander, Patrick G. A. Pedrioli, Axel Knebel, Maria Stella Ritorto, Natalia Shpiro and David Graham Campbell. Their work appears in journals such as Biochemical Journal, Proceedings of the National Academy of Sciences, Scientific Reports, European Respiratory Journal and PLoS ONE.

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.

Explore authors with similar magnitude of impact