Matthew L. Johnson

3.0k total citations · 1 hit paper
40 papers, 2.2k citations indexed

About

Matthew L. Johnson is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Matthew L. Johnson has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 12 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in Matthew L. Johnson's work include Adipose Tissue and Metabolism (14 papers), Muscle metabolism and nutrition (11 papers) and Cardiovascular and exercise physiology (8 papers). Matthew L. Johnson is often cited by papers focused on Adipose Tissue and Metabolism (14 papers), Muscle metabolism and nutrition (11 papers) and Cardiovascular and exercise physiology (8 papers). Matthew L. Johnson collaborates with scholars based in United States and Italy. Matthew L. Johnson's co-authors include K. Sreekumaran Nair, Matthew M. Robinson, Ian R. Lanza, Adam R. Konopka, Surendra Dasari, Rickey E. Carter, George A. Brooks, Michael A. Horning, S Manjunatha and Jill A. Fattor and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Matthew L. Johnson

38 papers receiving 2.2k citations

Hit Papers

Enhanced Protein Translation Underlies Improved Metabolic... 2017 2026 2020 2023 2017 100 200 300

Peers

Matthew L. Johnson
Comparison fields: 5 of 124
  • Physiology 1.4k
  • Molecular Biology 815
  • Cell Biology 500
  • Endocrinology, Diabetes and Metabolism 267
  • Epidemiology 227
Replace Craig S. Stump with:
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Craig S. Stump United States View profile →
Citations per field, relative to Matthew L. Johnson
Matthew L. Johnson · 1×
Citations per year, relative to Matthew L. Johnson
Matthew L. Johnson · 1×

Countries citing papers authored by Matthew L. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew L. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew L. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew L. Johnson. A scholar is included among the top collaborators of Matthew L. Johnson 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 L. Johnson. Matthew L. Johnson 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 0
2 2
3 1
4 15
5 22
6
Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans breakdown →
377
7 44
8 42
9 169
10 180
11 13
12 31
13 38
14 27
15 150
16 14
17 78
18 88
19 2
20 86

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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