Matthew Peach

589 total citations
7 papers, 366 citations indexed

About

Matthew Peach is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew Peach has authored 7 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew Peach's work include Lipoproteins and Cardiovascular Health (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Matthew Peach is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Cholesterol and Lipid Metabolism (1 paper). Matthew Peach collaborates with scholars based in United States, South Africa and Canada. Matthew Peach's co-authors include Robert C. Scott, Scott M. Wasserman, Ransi Somaratne, Armando Lira, Allen Xue, Michael J. Koren, Robert P. Giugliano, Evan A. Stein, Marc S. Sabatine and Simon Jackson and has published in prestigious journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and Journal of Lipid Research.

In The Last Decade

Matthew Peach

7 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Peach United States	5	174	112	75	75	72	7	366
Alessandra Calzetta Italy	4	399 2.3×	140 1.3×	23 0.3×	19 0.3×	81 1.1×	4	478
Yascara Grisel Luna Saavedra Canada	10	293 1.7×	70 0.6×	12 0.2×	45 0.6×	71 1.0×	10	347
Yosuke Furuya Japan	10	113 0.6×	180 1.6×	67 0.9×	42 0.6×	201 2.8×	14	352
Leena Lindstedt Finland	8	184 1.1×	104 0.9×	39 0.5×	58 0.8×	94 1.3×	8	400
Giovanni Antico United States	9	52 0.3×	147 1.3×	85 1.1×	21 0.3×	72 1.0×	12	278
Wei Wen China	11	60 0.3×	179 1.6×	90 1.2×	19 0.3×	127 1.8×	25	350
Jamil Haque United States	9	188 1.1×	303 2.7×	104 1.4×	27 0.4×	52 0.7×	9	580
Justyna Chlebowska Poland	8	35 0.2×	177 1.6×	36 0.5×	13 0.2×	75 1.0×	12	296
Armin Pauer Germany	10	74 0.4×	124 1.1×	182 2.4×	13 0.2×	52 0.7×	14	361
Robert S. Carver United States	8	97 0.6×	244 2.2×	121 1.6×	25 0.3×	60 0.8×	9	450

Countries citing papers authored by Matthew Peach

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Peach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Peach

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Peach. A scholar is included among the top collaborators of Matthew Peach 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 Peach. Matthew Peach 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

Buuren, Nicholas van, Lance U’Ren, Kai Song, et al.. (2024). 184 Biomarker analysis of magrolimab plus docetaxel in patients with 2L+ mNSCLC from ELEVATE-Lung and UC, a phase 2 multicohort study. Regular and Young Investigator Award Abstracts. A212–A212. 1 indexed citations

Raal, Frederick J., Robert P. Giugliano, Marc S. Sabatine, et al.. (2016). REDUCTION IN LIPOPROTEIN (A) WITH EVOLOCUMAB: ELUCIDATION OF THE ROLE OF THE LDL RECEPTOR FROM CLINICAL TRIALS AND IN-VITRO MODELS. Journal of the American College of Cardiology. 67(13). 1862–1862. 1 indexed citations

Peach, Matthew, Ren Xu, Lisa Hamilton, et al.. (2016). Effect of evolocumab on cholesterol synthesis and absorption. Journal of Lipid Research. 57(12). 2217–2224. 10 indexed citations

Raal, Frederick J., Robert P. Giugliano, Marc S. Sabatine, et al.. (2016). PCSK9 inhibition-mediated reduction in Lp(a) with evolocumab: an analysis of 10 clinical trials and the LDL receptor's role. Journal of Lipid Research. 57(6). 1086–1096. 169 indexed citations

Bass, Michael, et al.. (2010). Biomarkers as Predictors of Response to Treatment with Motesanib in Patients with Progressive Advanced Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 95(11). 5018–5027. 73 indexed citations

Kaplan‐Lefko, Paula, Jonathan D. Graves, Stephen J. Zoog, et al.. (2010). Conatumumab, a fully human agonist antibody to death receptor 5, induces apoptosis via caspase activation in multiple tumor types. Cancer Biology & Therapy. 9(8). 618–631. 100 indexed citations

Peach, Matthew, Diane G. Alston, & Vincent J. Tepedino. (1995). Sublethal Effects of Carbaryl Bran Bait on Nesting Performance, Parental Investment, and Offspring Size and Sex Ratio of the Alfalfa Leafcutting Bee (Hymenoptera: Megachilidae). Environmental Entomology. 24(1). 34–39. 12 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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