Gemma L. Pearson

751 citations
16 papers · 460 · h-index 10

Impact in

Papers in

Gemma L. Pearson

16 papers receiving 456 citations

Peers

Gemma L. Pearson
Comparison fields: 5 of 62
  • Epidemiology 157
  • Surgery 202
  • Physiology 23
  • Endocrinology, Diabetes and Metabolism 65
  • Geriatrics and Gerontology 12
Replace Vaibhav Sidarala with:
Vaibhav Sidarala United States
Nayumi Shigihara Japan
Shigeo Yamashita Japan
Upasna Varma Australia
Bridgit B. Bowskill Canada
Chiara Montemurro United States
Matthew C. Cane United Kingdom
Sabine Rütti Switzerland
Jong Bock Choi Japan
Krzysztof Wanic Poland
Gemma L. Pearson relative to Vaibhav Sidarala United States Vaibhav Sidarala's profile →
Citations per field
00.5×2.9×
Vaibhav Sidarala · 1×
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 202095
2 201759
3 202254
4 200940
5 201337
6 201035
7 201929
8 202128
9 198428
10 201624
11 19859
12 20229
13 20246
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 460 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Autophagy in Disease and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Adipose Tissue and Metabolism (3 papers), Mitochondrial Function and Pathology (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Epidemiology (157 citations), Surgery (202 citations), Physiology (23 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Geriatrics and Gerontology (12 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, Peter J. Meikle and Robert C. Piper. Their work appears in journals such as Diabetes, JCI Insight, Diabetologia, Nature Communications and Nature Microbiology.

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.

Explore authors with similar magnitude of impact