Matthew M. Robinson

3.8k total citations · 2 hit papers
61 papers, 2.8k citations indexed

About

Matthew M. Robinson is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Matthew M. Robinson has authored 61 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Physiology, 35 papers in Molecular Biology and 28 papers in Cell Biology. Recurrent topics in Matthew M. Robinson's work include Adipose Tissue and Metabolism (40 papers), Muscle metabolism and nutrition (28 papers) and Mitochondrial Function and Pathology (16 papers). Matthew M. Robinson is often cited by papers focused on Adipose Tissue and Metabolism (40 papers), Muscle metabolism and nutrition (28 papers) and Mitochondrial Function and Pathology (16 papers). Matthew M. Robinson collaborates with scholars based in United States, Sweden and Italy. Matthew M. Robinson's co-authors include K. Sreekumaran Nair, Matthew L. Johnson, Ian R. Lanza, Surendra Dasari, Benjamin F. Miller, Adam R. Konopka, Karyn L. Hamilton, Katherine A. Klaus, Mark P. Jedrychowski and John Szpyt and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Matthew M. Robinson

59 papers receiving 2.8k citations

Hit Papers

Detection and Quantitation of Circulating Human Irisin by... 2015 2026 2018 2022 2015 2017 100 200 300 400

Peers

Matthew M. Robinson
Comparison fields: 5 of 125
  • Physiology 1.8k
  • Molecular Biology 1.3k
  • Cell Biology 708
  • Epidemiology 360
  • Rehabilitation 328
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Citations per field, relative to Matthew M. Robinson
Matthew M. Robinson · 1×
Citations per year, relative to Matthew M. Robinson
Matthew M. Robinson · 1×

Countries citing papers authored by Matthew M. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew M. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Robinson. A scholar is included among the top collaborators of Matthew M. Robinson 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 M. Robinson. Matthew M. Robinson 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
# Work Indexed citations
1 1
2 1
3 15
4 5
5 22
6 37
7 12
8 5
9 7
10 14
11 27
12
Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans breakdown →
377
13 44
14
Detection and Quantitation of Circulating Human Irisin by Tandem Mass Spectrometry breakdown →
448
15 49
16 110
17 6
18 85
19 4
20 13

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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