Matthew Metcalf

30 total papers · 1.0k total citations
19 papers, 784 citations indexed

About

Matthew Metcalf is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew Metcalf has authored 19 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew Metcalf's work include Pharmacological Receptor Mechanisms and Effects (6 papers), Neuropeptides and Animal Physiology (5 papers) and Heart Failure Treatment and Management (4 papers). Matthew Metcalf is often cited by papers focused on Pharmacological Receptor Mechanisms and Effects (6 papers), Neuropeptides and Animal Physiology (5 papers) and Heart Failure Treatment and Management (4 papers). Matthew Metcalf collaborates with scholars based in United States, United Kingdom and Australia. Matthew Metcalf's co-authors include Nigel W. Bunnett, Peishen Zhao, Andrew Coop, Sue A. Thomas, Erika Friedmann, Frances J. Kelley, Chi‐Wen Kao, Stephen S. Gottlieb, Virginia Luis Fuentes and Chu Liu and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and The American Journal of Cardiology.

In The Last Decade

Matthew Metcalf

17 papers receiving 763 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matthew Metcalf	249	230	189	158	84	19	784
Adebayo Laniyonu	101 0.4×	223 1.0×	129 0.7×	283 1.8×	116 1.4×	21	702
R Hatton	209 0.8×	228 1.0×	100 0.5×	134 0.8×	97 1.2×	23	760
Fabrice Jaffré	305 1.2×	426 1.9×	114 0.6×	57 0.4×	67 0.8×	17	825
Yoshiaki Shirasawa	211 0.8×	148 0.6×	91 0.5×	212 1.3×	117 1.4×	26	649
James E. Novak	59 0.2×	190 0.8×	78 0.4×	144 0.9×	104 1.2×	20	855
Luisa Foco	131 0.5×	287 1.2×	55 0.3×	75 0.5×	59 0.7×	36	778
Ravinder Pabla	233 0.9×	200 0.9×	48 0.3×	173 1.1×	290 3.5×	21	862
Patrik Htun	318 1.3×	346 1.5×	47 0.2×	77 0.5×	63 0.8×	17	792
Xin Zhao	208 0.8×	274 1.2×	58 0.3×	40 0.3×	105 1.3×	23	803
Yuji Ohno	138 0.6×	205 0.9×	118 0.6×	87 0.6×	40 0.5×	37	733

Countries citing papers authored by Matthew Metcalf

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Metcalf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Metcalf

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

All Works

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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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