Tim Pearson

2.3k citations
37 papers · 1.7k · h-index 23

Impact in

Papers in

Tim Pearson

36 papers receiving 1.7k citations

Peers

Tim Pearson
Comparison fields: 5 of 119
  • Physiology 322
  • Endocrine and Autonomic Systems 164
  • Rehabilitation 143
  • Cellular and Molecular Neuroscience 348
  • Biochemistry 112
Replace José M. Fernández‐Fernández with:
José M. Fernández‐Fernández Spain
Agustı́n D. Martı́nez Chile
Takashi Murayama Japan
Shinya Ugawa Japan
Bernard Himpens Belgium
Claire M. Peppiatt‐Wildman United Kingdom
P.Y.D. Wong Hong Kong
Yasuko Kitao Japan
T Furukawa Japan
Jason N. Peart Australia
Tim Pearson relative to José M. Fernández‐Fernández Spain José M. Fernández‐Fernández's profile →
Citations per field
00.5×5.7×
José M. Fernández‐Fernández · 1×
Citations per year

Countries citing papers authored by Tim Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Tim Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Pearson Line = papers co-authored together Tim Pearson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012259
2 2005169
3 2000157
4 2004123
5 2016107
6 201486
7 201877
8 200166
9 200665
10 201054
11 202153
12 200750
13 199548
14 200346
15 201640
16 199631
17 201229
18 201626
19 201424
20 200924

About Tim Pearson

Tim Pearson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Physiology and Rehabilitation, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Muscle Physiology and Disorders (5 papers), Exercise and Physiological Responses (5 papers), Neuroscience of respiration and sleep (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Physiology (322 citations), Endocrine and Autonomic Systems (164 citations), Rehabilitation (143 citations), Cellular and Molecular Neuroscience (348 citations) and Biochemistry (112 citations). Tim Pearson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Bruno G. Frenguelli, Malcolm J. Jackson, Nicholas Dale, Ivan Dimauro, Daniela Caporossi, Anne McArdle, Chris G. Dulla, Susan A. Masino, Peter Dobelis and Kevin J. Staley. Their work appears in journals such as Free Radical Biology and Medicine, The Journal of Physiology, Journal of Neurochemistry, European Journal of Neuroscience and The FASEB Journal.

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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