Tim Pearson

2.1k citations
30 papers · 1.8k · h-index 21

Impact in

Papers in

    • Adenosine and Purinergic Signaling 7
    • Nitric Oxide and Endothelin Effects 2
    • Muscle Physiology and Disorders 11
    • Mitochondrial Function and Pathology 2

Tim Pearson

30 papers receiving 1.7k citations

Peers

Tim Pearson
Comparison fields: 5 of 86
  • Physiology 310
  • Rehabilitation 119
  • Endocrine and Autonomic Systems 62
  • Aging 17
  • Biochemistry 61
Replace Elisabetta Coppi with:
Elisabetta Coppi Italy
Takashi Murayama Japan
Manuel Estrada Chile
Gina Sánchez Chile
Santosh Kumar Mishra United States
Shinya Ugawa Japan
Olof Larsson Sweden
Cynthia Moffat United States
Peng D. Shi United States
Tim Pearson relative to Elisabetta Coppi Italy Elisabetta Coppi's profile →
Citations per field
00.5×2×3×4.3×
Elisabetta Coppi · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012265
2 2005185
3 2000168
4 2004129
5 2016116
6 201491
7 201880
8 200673
9 200169
10 201056
11 202153
12 200751
13 199550
14 200347
15 201644
16 201230
17 201628
18 201427
19 200924
20 201524

About Tim Pearson

Tim Pearson is a scholar working on Physiology, Molecular Biology, Biochemistry, Rehabilitation and Ecology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Adenosine and Purinergic Signaling (7 papers), Exercise and Physiological Responses (3 papers), Physiological and biochemical adaptations (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Autophagy in Disease and Therapy (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Physiology (310 citations), Rehabilitation (119 citations), Endocrine and Autonomic Systems (62 citations), Aging (17 citations) and Biochemistry (61 citations). Tim Pearson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Bruno G. Frenguelli, Malcolm Joseph Jackson, Nicholas Dale, Ivan Dimauro, Daniela Caporossi, Anne McArdle, Kevin J. Staley, Chris G. Dulla, Peter Dobelis and Susan A. Masino. Their work appears in journals such as The Journal of Physiology, Journal of Neurochemistry, Free Radical Biology and Medicine, European Journal of Neuroscience and Journal of Cellular and Molecular Medicine.

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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