Matthew Pollard

766 total citations
16 papers, 590 citations indexed

About

Matthew Pollard is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Matthew Pollard has authored 16 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Matthew Pollard's work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Matthew Pollard is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Matthew Pollard collaborates with scholars based in United States, United Kingdom and Australia. Matthew Pollard's co-authors include Wilma Β. Bias, Susan H. Hsu, Harvey S. Singer, David G. Marsh, Eva Ehrlich-Kautzky, Deborah A. Meyers, Linda R. Freidhoff, Marianne Roebber, Christina M. Morris and Colin D. Gause and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Biochemical Journal.

In The Last Decade

Matthew Pollard

16 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Pollard United States 11 186 137 132 115 84 16 590
Jean‐Michel Dayer Switzerland 7 141 0.8× 120 0.9× 32 0.2× 15 0.1× 37 0.4× 7 599
Peter Ng United States 10 340 1.8× 59 0.4× 41 0.3× 48 0.4× 65 0.8× 12 959
Kihei Maekawa Japan 20 43 0.2× 364 2.7× 41 0.3× 99 0.9× 44 0.5× 108 1.1k
Benedict J. Alter United States 17 560 3.0× 174 1.3× 20 0.2× 106 0.9× 51 0.6× 36 1.1k
Stefania Fontana Italy 12 411 2.2× 68 0.5× 21 0.2× 186 1.6× 47 0.6× 17 792
Eric Peyron France 8 245 1.3× 55 0.4× 74 0.6× 16 0.1× 17 0.2× 14 503
Simon McHugh United Kingdom 13 98 0.5× 45 0.3× 21 0.2× 28 0.2× 29 0.3× 16 498
Sawako Masuda Japan 15 40 0.2× 147 1.1× 194 1.5× 46 0.4× 133 1.6× 82 794
Olga Ousova France 17 293 1.6× 575 4.2× 127 1.0× 53 0.5× 8 0.1× 28 1.1k

Countries citing papers authored by Matthew Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Pollard

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

All Works

16 of 16 papers shown
1.
Poulton, Lynn D., Danyal Butt, Matthew Pollard, et al.. (2018). An anti-TL1A antibody for the treatment of asthma and inflammatory bowel disease. mAbs. 10(4). 664–677. 38 indexed citations
2.
Tian, Chen, Karolina Windloch, Matthew Pollard, et al.. (2015). Potent neutralizing anti-CD1d antibody reduces lung cytokine release in primate asthma model. mAbs. 7(3). 638–650. 11 indexed citations
3.
Ren, Bin, Thomas S. Peat, Victor A. Streltsov, et al.. (2014). Unprecedented conformational flexibility revealed in the ligand-binding domains of theBovicola ovisecdysone receptor (EcR) and ultraspiracle (USP) subunits. Acta Crystallographica Section D Biological Crystallography. 70(7). 1954–1964. 19 indexed citations
4.
Pollard, Matthew, et al.. (2013). Anti-streptococcal, tubulin, and dopamine receptor 2 antibodies in children with PANDAS and Tourette syndrome: Single-point and longitudinal assessments. Journal of Neuroimmunology. 264(1-2). 106–113. 41 indexed citations
5.
Singer, Harvey S., Christina M. Morris, Colin D. Gause, et al.. (2009). Prenatal exposure to antibodies from mothers of children with autism produces neurobehavioral alterations: A pregnant dam mouse model. Journal of Neuroimmunology. 211(1-2). 39–48. 126 indexed citations
6.
Pollard, Matthew, David Meredith, & J D McGivan. (2002). Characterisation and cloning of a Na+-dependent broad-specificity neutral amino acid transporter from NBL-1 cells: a novel member of the ASC/B0 transporter family. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1561(2). 202–208. 9 indexed citations
7.
Pollard, Matthew, David Meredith, & J D McGivan. (2002). Identification of a plasma membrane glutamine transporter from the rat hepatoma cell line H4-IIE-C3. Biochemical Journal. 368(1). 371–375. 14 indexed citations
8.
Pollard, Matthew & J D McGivan. (2000). The rat hepatoma cell line H4‐II‐E‐C3 expresses high activities of the high‐affinity glutamate transporter GLT‐1A. FEBS Letters. 484(2). 74–76. 13 indexed citations
9.
Padula, Steven J., Matthew Pollard, Elizabeth G. Lingenheld, & Robert B. Clark. (1985). Maintenance of antigen specificity by human interleukin-2-dependent T cell lines. Use of antigen-presenting cells and OKT3 antibody in the absence of antigen.. Journal of Clinical Investigation. 75(3). 788–797. 22 indexed citations
10.
Clark, Robert B., Elizabeth G. Lingenheld, James O. Donaldson, & Matthew Pollard. (1985). Compartmentalized immune responses: Antigen-specificity of cerebrospinal fluid T-cell lines maintained in the absence of antigen. Clinical Immunology and Immunopathology. 36(2). 176–186. 5 indexed citations
11.
Clark, Robert B., et al.. (1984). Generation of phenotypic helper/inducer and suppressor/ cytotoxic T-cell lines from cerebrospinal fluid in multiple sclerosis. Cellular Immunology. 84(2). 409–414. 11 indexed citations
12.
Clark, Robert B., et al.. (1984). Generation of long-term T-cell lines from synovial fluid. Clinical Immunology and Immunopathology. 33(2). 287–292. 8 indexed citations
13.
Marsh, David G., Susan H. Hsu, Marianne Roebber, et al.. (1982). HLA-Dw2: a genetic marker for human immune response to short ragweed pollen allergen Ra5. I. Response resulting primarily from natural antigenic exposure.. The Journal of Experimental Medicine. 155(5). 1439–1451. 197 indexed citations
14.
Bias, Wilma Β., Susan H. Hsu, Matthew Pollard, et al.. (1981). HLA-DR characterization of a Chippewa Indian subpopulation with high prevalence of rheumatoid arthritis. Human Immunology. 2(2). 155–163. 66 indexed citations
15.
Hsu, Susan H., Matthew Pollard, Maria Chan, & Wilma Β. Bias. (1981). Genetics heterogeneity of DR4 in the old order amish and two new HLA-D specificities. Human Immunology. 2(2). 165–172. 9 indexed citations
16.
Hsu, Susan H., Matthew Pollard, & Wilma Β. Bias. (1980). Occurrence of paternal and maternal HLA-B/D recombinants in a single family. Human Immunology. 1(4). 325–330. 1 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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