Sam Strickson

1.2k citations
10 papers · 894 · h-index 7

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • NF-κB Signaling Pathways

Papers in

    • interferon and immune responses 5
    • Immune Response and Inflammation 2
    • Immune Cell Function and Interaction 2
    • NF-κB Signaling Pathways 8

Sam Strickson

10 papers receiving 886 citations

Peers

Sam Strickson
Comparison fields: 5 of 85
  • Immunology 439
  • Cancer Research 252
  • Molecular Biology 564
  • Oncology 180
  • Biological Psychiatry 13
Replace Daniel R. Beisner with:
Daniel R. Beisner United States
Shaogang Sun United States
Rosa Barreira da Silva United States
Katharina Wolter Germany
Niklas A. Schmacke Germany
Maria Loiarro Italy
Adeline Fluteau United Kingdom
Ashley J. Chui United States
Olga Moreno-Gonzalo Spain
Marja Kreike Belgium
Sam Strickson relative to Daniel R. Beisner United States Daniel R. Beisner's profile →
Citations per field
00.5×2.7×
Daniel R. Beisner · 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

10 of 10 papers shown
#Work
1 2013346
2 2013170
3 201788
4 201787
5 201687
6 201765
7 201743
8 20245
9 20222
10 20221

About Sam Strickson

Sam Strickson is a scholar working on Immunology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 10 papers that have together received 894 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (3 papers), Immune Response and Inflammation (2 papers), Melanoma and MAPK Pathways (2 papers), Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Immunology (439 citations), Cancer Research (252 citations), Molecular Biology (564 citations), Oncology (180 citations) and Biological Psychiatry (13 citations). Sam Strickson has collaborated with scholars based in United Kingdom, South Korea and Nepal. 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 G. Campbell. Their work appears in journals such as Biochemical Journal, Scientific Reports, Proceedings of the National Academy of Sciences, PLoS ONE and Cell Death and Differentiation.

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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