Matthew J. Robinson

5.1k citations
62 papers · 3.8k indexed · 1 hit paper · h-index 23

Matthew J. Robinson

59 papers receiving 3.6k citations

Hit Papers

Syk- and CARD9-dependent coupling of innate immunity to t...20072026201320192007250500750

Peers

Matthew J. Robinson
Comparison fields: 5 of 159
  • Immunology 1.7k
  • Molecular Biology 888
  • Sociology and Political Science 643
  • Gender Studies 640
  • Epidemiology 569
Replace Ian Cooke with:
Ian Cooke United Kingdom
Maryam M. Asgari United States
Günter Härtel Australia
Shane O’Neill Ireland
Susan Taylor New Zealand
Jack Levin United States
Jane M. Grant‐Kels United States
Kristin J. Olsen United States
David Jeffries United Kingdom
Kenneth Kim United States
Matthew J. Robinson relative to Ian Cooke United Kingdom Ian Cooke's profile →
Citations per field
00.5×6.0×
Ian Cooke · 1×
Citations per year

Countries citing papers authored by Matthew J. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Robinson. 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 Matthew J. Robinson. The network helps show where Matthew J. Robinson may publish in the future.

Co-authorship network of co-authors of Matthew J. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Robinson. A scholar is included among the top collaborators of Matthew J. Robinson 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 Matthew J. Robinson. Matthew J. Robinson 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 28
2 9
3 1
4 46
5 18
6 93
7 72
8 39
9 51
10 18
11 11
12 26
13
Sport Club Management
5
14
Syk- and CARD9-dependent coupling of innate immunity to the induction of T helper cells that produce interleukin 17breakdown →
934
15 421
16 194
17 7
18 50
19 10
20 5

About Matthew J. Robinson

Matthew J. Robinson is a scholar working on Gender Studies, Issues, ethics and legal aspects and Immunology, having authored 62 papers that have together received 3.8k indexed citations. Recurring topics across this work include Sports, Gender, and Society (14 papers), Sport and Mega-Event Impacts (12 papers) and Sports Analytics and Performance (8 papers). The work is most often cited by research in Immunology (1.7k citations), Gender Studies (640 citations) and Infectious Diseases (542 citations). Matthew J. Robinson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Galen T. Trail, Caetano Reis e Sousa, Emma Slack, Salomé LeibundGut‐Landmann, Edina Schweighoffer, Victor L. J. Tybulewicz, Fabiola Osorio, Jürgen Ruland, Olaf Groß and David Sancho. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

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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