Mark Barbour

724 total citations
14 papers, 579 citations indexed

About

Mark Barbour is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Mark Barbour has authored 14 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Mark Barbour's work include IL-33, ST2, and ILC Pathways (6 papers), Eosinophilic Esophagitis (4 papers) and Immune Cell Function and Interaction (4 papers). Mark Barbour is often cited by papers focused on IL-33, ST2, and ILC Pathways (6 papers), Eosinophilic Esophagitis (4 papers) and Immune Cell Function and Interaction (4 papers). Mark Barbour collaborates with scholars based in United Kingdom, China and Australia. Mark Barbour's co-authors include Hui‐Rong Jiang, Robin Plevin, Debbie Allan, Rong Mu, Karen Fairlie‐Clarke, C. W. M. Wilson, Xiaoguang Tong, Shuang Cao, Kezuo Hou and Yang Zhao and has published in prestigious journals such as Cancer Research, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Mark Barbour

14 papers receiving 576 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Barbour United Kingdom 9 285 140 139 38 30 14 579
Yoshihiro Miura Japan 13 250 0.9× 46 0.3× 128 0.9× 26 0.7× 55 1.8× 32 589
Yinan Wang China 19 235 0.8× 71 0.5× 152 1.1× 29 0.8× 58 1.9× 66 783
Chengwei Wang China 17 119 0.4× 76 0.5× 207 1.5× 48 1.3× 42 1.4× 55 1.0k
Beibei Yu China 14 94 0.3× 33 0.2× 166 1.2× 35 0.9× 60 2.0× 69 575
Atsushi Takashima Japan 12 178 0.6× 33 0.2× 139 1.0× 34 0.9× 65 2.2× 40 616
T. Brill Germany 18 83 0.3× 198 1.4× 268 1.9× 18 0.5× 58 1.9× 33 915
Yangzhou Liu China 17 124 0.4× 96 0.7× 185 1.3× 38 1.0× 40 1.3× 56 717
Lili Jing China 16 149 0.5× 43 0.3× 676 4.9× 23 0.6× 32 1.1× 59 1.2k
Adela Banciu Romania 14 60 0.2× 117 0.8× 265 1.9× 10 0.3× 37 1.2× 34 621

Countries citing papers authored by Mark Barbour

Since Specialization
Citations

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

Fields of papers citing papers by Mark Barbour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Barbour

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

All Works

14 of 14 papers shown
1.
Barbour, Mark, et al.. (2022). Abstract 5586: Demonstrating restoration of T cell function in exhausted T cells with IKZF3 small molecule inhibitor, Lenalidomide. Cancer Research. 82(12_Supplement). 5586–5586. 1 indexed citations
2.
Pytka, Karolina, Ros R. Brett, Christian Wozny, et al.. (2021). Protease-activated receptor 2 activation induces behavioural changes associated with depression-like behaviour through microglial-independent modulation of inflammatory cytokines. Psychopharmacology. 239(1). 229–242. 2 indexed citations
5.
Xu, Dan, Mark Barbour, Hui‐Rong Jiang, & Rong Mu. (2019). Role of IL-33/ST2 signaling pathway in systemic sclerosis and other fibrotic diseases.. PubMed. 37 Suppl 119(4). 141–146. 16 indexed citations
6.
Fairlie‐Clarke, Karen, et al.. (2018). Expression and Function of IL-33/ST2 Axis in the Central Nervous System Under Normal and Diseased Conditions. Frontiers in Immunology. 9. 2596–2596. 71 indexed citations
9.
Barbour, Mark, Robin Plevin, & Hui‐Rong Jiang. (2016). MAP kinase phosphatase 2 deficient mice develop attenuated experimental autoimmune encephalomyelitis through regulating dendritic cells and T cells. Scientific Reports. 6(1). 38999–38999. 181 indexed citations
10.
Barbour, Mark, Stephanie D. Boomkamp, Neil MacRitchie, et al.. (2016). Effect of sphingosine kinase modulators on interleukin‐1β release, sphingosine 1‐phosphate receptor 1 expression and experimental autoimmune encephalomyelitis. British Journal of Pharmacology. 174(2). 210–222. 8 indexed citations
11.
Tong, Xiaoguang, Mark Barbour, Kezuo Hou, et al.. (2015). Interleukin‐33 predicts poor prognosis and promotes ovarian cancer cell growth and metastasis through regulating ERK and JNK signaling pathways. Molecular Oncology. 10(1). 113–125. 75 indexed citations
12.
Barbour, Mark, Debbie Allan, Heping Xu, et al.. (2014). IL‐33 attenuates the development of experimental autoimmune uveitis. European Journal of Immunology. 44(11). 3320–3329. 69 indexed citations
13.
Barbour, Mark, et al.. (2013). Emerging role of interleukin‐33 in autoimmune diseases. Immunology. 141(1). 9–17. 90 indexed citations
14.
Tseng, Susan Y., et al.. (1997). An Homogeneous Fluorescence Polymerase Chain Reaction Assay to IdentifySalmonella. Analytical Biochemistry. 245(2). 207–212. 20 indexed citations

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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