Gemma L. Pearson

717 citations
16 papers · 447 · h-index 10

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Pancreatic function and diabetes

Papers in

    • Pancreatic function and diabetes 10
    • Autophagy in Disease and Therapy 7

Gemma L. Pearson

16 papers receiving 443 citations

Peers

Gemma L. Pearson
Comparison fields: 5 of 66
  • Physiology 27
  • Surgery 228
  • Epidemiology 164
  • Endocrinology, Diabetes and Metabolism 77
  • Cell Biology 57
Replace Natalia Shalbueva with:
Natalia Shalbueva United States
Takatoshi Anno Japan
Shabnam Pooya United States
Fabienne T. Schulthess United States
Miwon Ahn United States
Matthew C. Cane United Kingdom
Waltraud Paßlack Germany
Bridgit B. Bowskill Canada
Krzysztof Wanic Poland
Yeo Kyoung Oh South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Gemma L. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Gemma L. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gemma L. 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 Gemma L. Pearson Line = papers co-authored together Gemma L. Pearson links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202090
2 201758
3 202253
4 200940
5 201336
6 201034
7 201929
8 198428
9 202127
10 201622
11 19859
12 20229
13 20245
14 20195
15 20241
16 20211

About Gemma L. Pearson

Gemma L. Pearson is a scholar working on Surgery, Epidemiology, Molecular Biology, Cell Biology and Physiology, having authored 16 papers that have together received 447 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Autophagy in Disease and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Adipose Tissue and Metabolism (3 papers), Sphingolipid Metabolism and Signaling (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Mitochondrial Function and Pathology (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Physiology (27 citations), Surgery (228 citations), Epidemiology (164 citations), Endocrinology, Diabetes and Metabolism (77 citations) and Cell Biology (57 citations). Gemma L. Pearson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Scott A. Soleimanpour, Trevor J. Biden, Biaoxin Chai, James Cantley, Vaibhav Sidarala, Jie Zhu, Emily M. Walker, Michael Leitges, Robert C. Piper and Xueying Liu. Their work appears in journals such as Diabetes, Diabetologia, JCI Insight, Autophagy and Journal of Biological Chemistry.

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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