Matthew J. Walters

2.7k total citations
80 papers, 1.9k citations indexed

About

Matthew J. Walters is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Matthew J. Walters has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 23 papers in Immunology and 18 papers in Molecular Biology. Recurrent topics in Matthew J. Walters's work include Chemokine receptors and signaling (13 papers), Adenosine and Purinergic Signaling (13 papers) and Immune Cell Function and Interaction (10 papers). Matthew J. Walters is often cited by papers focused on Chemokine receptors and signaling (13 papers), Adenosine and Purinergic Signaling (13 papers) and Immune Cell Function and Interaction (10 papers). Matthew J. Walters collaborates with scholars based in United States, United Kingdom and Japan. Matthew J. Walters's co-authors include Paul M. Williams, Jane A. Mitchell, Darren L. Oatley-Radcliffe, Nidal Hilal, Abdul Wahab Mohammad, Lawrence J. Marnett, Matthew R. Holman, Thomas J. Schall, James R. Kiefer and Joel Musee and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Matthew J. Walters

74 papers receiving 1.8k citations

Peers

Matthew J. Walters
Matthew J. Walters
Citations per year, relative to Matthew J. Walters Matthew J. Walters (= 1×) peers Shuping Zhang

Countries citing papers authored by Matthew J. Walters

Since Specialization
Citations

This map shows the geographic impact of Matthew J. Walters'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. Walters 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. Walters more than expected).

Fields of papers citing papers by Matthew J. Walters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Walters. A scholar is included among the top collaborators of Matthew J. Walters 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. Walters. Matthew J. Walters 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
1.
Jin, Ke, Jenna L. Pappalardo, Soonweng Cho, et al.. (2025). Harnessing CD39 inhibition to boost antitumor immunity with extracellular ATP. The Journal of Immunology. 214(11). 2906–2918.
2.
Kim, Ji Yun, José Luís Braga de Aquino, Chunyou Mao, et al.. (2024). 52 The adenosine receptor antagonist etrumadenant reduces tumor adenosine-regulated NR4A gene expression and increases mCRC inflammation in patients from the ARC-9 trial. Regular and Young Investigator Award Abstracts. A58–A58.
3.
Groot, Amber E. de, Soonweng Cho, Rebecca D. Ray, et al.. (2024). Fc-Silent Anti-TIGIT Antibodies Potentiate Antitumor Immunity without Depleting Regulatory T Cells. Cancer Research. 84(12). 1978–1995. 8 indexed citations
4.
Groot, Amber E. de, Amy E. Anderson, Rebecca D. Ray, et al.. (2023). 475 Fc-silent anti-TIGIT antibodies potentiate anti-tumor immunity without depleting regulatory T cells. SHILAP Revista de lepidopterología. A534–A534. 1 indexed citations
5.
McElroy, Con Robert, et al.. (2019). Fabrication of PES/PVP Water Filtration Membranes Using Cyrene®, a Safer Bio-Based Polar Aprotic Solvent. Advances in Polymer Technology. 2019. 1–15. 59 indexed citations
6.
Ding, Yan S., et al.. (2018). Multi-year Study of PAHs in Mainstream Cigarette Smoke. Tobacco Regulatory Science. 4(3). 96–106. 8 indexed citations
7.
Oatley-Radcliffe, Darren L., et al.. (2017). Nanofiltration membranes and processes: A review of research trends over the past decade. Journal of Water Process Engineering. 19. 164–171. 243 indexed citations
8.
Sharpless, Charles M., et al.. (2016). Comparison of Experimenal Photooxidation Rates and Patterns in Glass- and Water-Based Oil Slicks with Daily Weathering Observed in the Gulf of Mexico. 2016. 1 indexed citations
9.
Sampson, Maureen M., Matthew J. Walters, Matthew R. Holman, et al.. (2016). Mainstream Smoke Levels of Volatile Organic Compounds in 50 U.S. Domestic Cigarette Brands Smoked With the ISO and Canadian Intense Protocols. Nicotine & Tobacco Research. 18(9). 1886–1894. 83 indexed citations
10.
Ding, Zhi-Chun, Xiaoyun Lu, Miao Yu, et al.. (2014). Immunosuppressive Myeloid Cells Induced by Chemotherapy Attenuate Antitumor CD4+ T-Cell Responses through the PD-1–PD-L1 Axis. Cancer Research. 74(13). 3441–3453. 109 indexed citations
11.
Miao, Zhenhua, Yu Wang, Jay P. Powers, et al.. (2013). The CCR4 antagonist CCX6239 for the treatment of allergic airways disease. European Respiratory Journal. 42(Suppl 57). 3535–3535. 1 indexed citations
12.
Walters, Matthew J., Karen Ebsworth, Timothy J. Sullivan, et al.. (2013). CCR9 inhibition does not interfere with the development of immune tolerance to oral antigens. Immunology Letters. 151(1-2). 44–47. 5 indexed citations
13.
Tubo, Noah, et al.. (2012). A Systemically-Administered Small Molecule Antagonist of CCR9 Acts as a Tissue-Selective Inhibitor of Lymphocyte Trafficking. PLoS ONE. 7(11). e50498–e50498. 14 indexed citations
14.
Walters, Matthew J., Yu Wang, Trageen Baumgart, et al.. (2010). Characterization of CCX282-B, an Orally Bioavailable Antagonist of the CCR9 Chemokine Receptor, for Treatment of Inflammatory Bowel Disease. Journal of Pharmacology and Experimental Therapeutics. 335(1). 61–69. 130 indexed citations
15.
Ramachandran, P. Veeraraghavan, Debarshi Pratihar, Hari Nair, et al.. (2010). Tailored α-methylene-γ-butyrolactones and their effects on growth suppression in pancreatic carcinoma cells. Bioorganic & Medicinal Chemistry Letters. 20(22). 6620–6623. 25 indexed citations
16.
Duggan, Kelsey C., Matthew J. Walters, Joel Musee, et al.. (2010). Molecular Basis for Cyclooxygenase Inhibition by the Non-steroidal Anti-inflammatory Drug Naproxen. Journal of Biological Chemistry. 285(45). 34950–34959. 191 indexed citations
17.
Walters, Matthew J., Anna L. Blobaum, Philip J. Kingsley, et al.. (2009). The influence of double bond geometry in the inhibition of cyclooxygenases by sulindac derivatives. Bioorganic & Medicinal Chemistry Letters. 19(12). 3271–3274. 26 indexed citations
18.
McMaster, Shaun K., et al.. (2007). Cigarette smoke inhibits macrophage sensing of Gram‐negative bacteria and lipopolysaccharide: relative roles of nicotine and oxidant stress. British Journal of Pharmacology. 153(3). 536–543. 34 indexed citations
19.
Oltmanns, Ute, Kian Fan Chung, Matthew J. Walters, Matthias John, & Jane A. Mitchell. (2005). Cigarette smoke induces IL-8, but inhibits eotaxin and RANTES release from airway smooth muscle. Respiratory Research. 6(1). 74–74. 89 indexed citations
20.
Walters, Matthew J., et al.. (2004). Carbon monoxide inhibits endothelin-1 release by human pulmonary artery smooth muscle cells. European Journal of Pharmacology. 486(3). 349–352. 26 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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