Nick C. Matthews

783 total citations
23 papers, 556 citations indexed

About

Nick C. Matthews is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Nick C. Matthews has authored 23 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Nick C. Matthews's work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers) and Immune Response and Inflammation (5 papers). Nick C. Matthews is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers) and Immune Response and Inflammation (5 papers). Nick C. Matthews collaborates with scholars based in United Kingdom, United States and Hong Kong. Nick C. Matthews's co-authors include Francesc E. Borràs, Cristina Navarrete, Mark W. Lowdell, Frank J. Kelly, Catherine M. Hawrylowicz, Paul Pfeffer, Paul Emery, Arne N. Akbar, Elizabeth H. Mann and Cristina Visintin and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Nick C. Matthews

23 papers receiving 536 citations

Peers

Nick C. Matthews
Comparison fields: 5 of 79
  • Immunology 274
  • Oncology 133
  • Molecular Biology 84
  • Epidemiology 78
  • Health, Toxicology and Mutagenesis 74
Mingcan Xia United States
Maria Garcia-Lloret United States
Mary Waugh United States
Gui-Mei Chen China
Elina Tan United States
Afzal Sheikh Pakistan
Qiu Qin China
Hidekazu Oi Japan
Florence Quesada Calvo Belgium
Karin Chen United States
Mingcan Xia United States View profile →
Citations per field, relative to Nick C. Matthews
Nick C. Matthews · 1×
Citations per year, relative to Nick C. Matthews
Nick C. Matthews · 1×

Countries citing papers authored by Nick C. Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Nick C. Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick C. Matthews. 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 Nick C. Matthews. The network helps show where Nick C. Matthews may publish in the future.

Co-authorship network of co-authors of Nick C. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Nick C. Matthews. A scholar is included among the top collaborators of Nick C. Matthews 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 Nick C. Matthews. Nick C. Matthews 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
# Work Indexed citations
1 14
2 22
3 28
4 56
5 27
6 15
7 27
8 4
9 59
10 4
11 67
12 33
13 29
14 42
15 14
16 8
17 28
18
The selective augmentation by recombinant human tumour necrosis factor-alpha of neutrophil responses to pathogenic Escherichia coli.
2
19
Zymosan-induced leukotriene B4 generation by human neutrophils is augmented by rhTNF-alpha but not chemotactic peptide.
17
20 1

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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