Matthew Opperman

498 total citations
7 papers, 411 citations indexed

About

Matthew Opperman is a scholar working on Immunology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Matthew Opperman has authored 7 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Immunology and Allergy. Recurrent topics in Matthew Opperman's work include Galectins and Cancer Biology (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Cell Adhesion Molecules Research (2 papers). Matthew Opperman is often cited by papers focused on Galectins and Cancer Biology (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Cell Adhesion Molecules Research (2 papers). Matthew Opperman collaborates with scholars based in United States, Brazil and Germany. Matthew Opperman's co-authors include Steven R. Barthel, Charles J. Dimitroff, Filiberto Cedeno‐Laurent, Vijay K. Kuchroo, Kenneth J. Pienta, Javed Siddiqui, Jaehyung Cho, Georg Wiese, Bruce Furie and David M. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Cancer Research.

In The Last Decade

Matthew Opperman

6 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Opperman United States	6	276	234	114	48	30	7	411
Suzanne L. Papp United States	7	88 0.3×	184 0.8×	51 0.4×	21 0.4×	36 1.2×	10	309
Po-Chien Chou Taiwan	6	169 0.6×	189 0.8×	106 0.9×	14 0.3×	46 1.5×	8	398
Lucas D. Gentilini Argentina	12	418 1.5×	370 1.6×	106 0.9×	10 0.2×	25 0.8×	17	538
Linda Tran United States	5	101 0.4×	169 0.7×	149 1.3×	24 0.5×	22 0.7×	6	334
David W. Ohannesian United States	8	310 1.1×	334 1.4×	139 1.2×	12 0.3×	12 0.4×	11	481
Cora Bucana United States	8	90 0.3×	193 0.8×	92 0.8×	51 1.1×	35 1.2×	8	337
Syue‐Ting Chen Taiwan	10	123 0.4×	241 1.0×	79 0.7×	11 0.2×	39 1.3×	17	331
Rasha Linehan Ireland	6	91 0.3×	340 1.5×	225 2.0×	16 0.3×	23 0.8×	6	450
Kendra R. Cook United States	5	122 0.4×	105 0.4×	214 1.9×	13 0.3×	11 0.4×	6	317
Mónica Núñez López Switzerland	8	54 0.2×	125 0.5×	75 0.7×	18 0.4×	28 0.9×	11	234

Countries citing papers authored by Matthew Opperman

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Opperman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Opperman

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

All Works

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7 of 7 papers shown

Cedeno‐Laurent, Filiberto, Kempland C. Walley, Steven R. Barthel, et al.. (2015). Melanoma Cell Galectin-1 Ligands Functionally Correlate with Malignant Potential. Journal of Investigative Dermatology. 135(7). 1849–1862. 30 indexed citations

Barthel, Steven R., Matthew Opperman, Kempland C. Walley, et al.. (2012). Definition of Molecular Determinants of Prostate Cancer Cell Bone Extravasation. Cancer Research. 73(2). 942–952. 60 indexed citations

Cedeno‐Laurent, Filiberto, Matthew Opperman, Steven R. Barthel, Vijay K. Kuchroo, & Charles J. Dimitroff. (2012). Galectin-1 Triggers an Immunoregulatory Signature in Th Cells Functionally Defined by IL-10 Expression. The Journal of Immunology. 188(7). 3127–3137. 112 indexed citations

Cedeno‐Laurent, Filiberto, Matthew Opperman, Steven R. Barthel, & Charles J. Dimitroff. (2011). Dimeric galectin-1 alters the plasticity and commitment of Th1 and Th17 cells by promoting IL-10 expression. (152.20). The Journal of Immunology. 186(1_Supplement). 152.20–152.20.

Cedeno‐Laurent, Filiberto, Matthew Opperman, Steven R. Barthel, et al.. (2011). Metabolic Inhibition of Galectin-1-Binding Carbohydrates Accentuates Antitumor Immunity. Journal of Investigative Dermatology. 132(2). 410–420. 52 indexed citations

Cedeno‐Laurent, Filiberto, Steven R. Barthel, Matthew Opperman, et al.. (2010). Development of a Nascent Galectin-1 Chimeric Molecule for Studying the Role of Leukocyte Galectin-1 Ligands and Immune Disease Modulation. The Journal of Immunology. 185(8). 4659–4672. 55 indexed citations

Barthel, Steven R., Georg Wiese, Jaehyung Cho, et al.. (2009). Alpha 1,3 fucosyltransferases are master regulators of prostate cancer cell trafficking. Proceedings of the National Academy of Sciences. 106(46). 19491–19496. 102 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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