Gwen Tolhurst

4.5k citations
20 papers · 3.6k indexed · 2 hit papers · h-index 18

Gwen Tolhurst

20 papers receiving 3.6k citations

Hit Papers

Short-Chain Fatty Acids Stimulate Glucagon-Like Peptide-1...20082026201420202011200850010001.5k

Peers

Gwen Tolhurst
Comparison fields: 5 of 106
  • Molecular Biology 1.7k
  • Physiology 1.3k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Surgery 964
  • Nutrition and Dietetics 831
Replace Helen Parker with:
Helen Parker United Kingdom
Abdella M. Habib United Kingdom
Atsukazu Kuwahara Japan
Eleftheria Diakogiannaki United Kingdom
Helen Heffron United Kingdom
Atsuhiko Ichimura Japan
Frank A. Duca United States
Maja S. Engelstoft Denmark
André Bado France
Yasutada Akiba United States
Gwen Tolhurst relative to Helen Parker United Kingdom Helen Parker's profile →
Citations per field
00.5×1.5×
Helen Parker · 1×
Citations per year

Countries citing papers authored by Gwen Tolhurst

Since Specialization
Citations

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

Fields of papers citing papers by Gwen Tolhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwen Tolhurst

This figure shows the co-authorship network connecting the top 25 collaborators of Gwen Tolhurst. A scholar is included among the top collaborators of Gwen Tolhurst 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 Gwen Tolhurst. Gwen Tolhurst 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
#WorkIndexed citations
1 37
2 26
3 50
4 9
5 163
6 194
7
Short-Chain Fatty Acids Stimulate Glucagon-Like Peptide-1 Secretion via the G-Protein–Coupled Receptor FFAR2breakdown →
1747
8 8
9 74
10 65
11 140
12 30
13 108
14 42
15
Glucose Sensing in L Cells: A Primary Cell Studybreakdown →
587
16 171
17 57
18 48
19 57
20 34

About Gwen Tolhurst

Gwen Tolhurst is a scholar working on Sensory Systems, Endocrine and Autonomic Systems and Physiology, having authored 20 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (7 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (638 citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Nutrition and Dietetics (831 citations). Gwen Tolhurst has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Frank Reimann, Fiona M. Gribble, Helen Parker, Abdella M. Habib, Eleftheria Diakogiannaki, Johannes Grosse, Helen Heffron, Jennifer Cameron, Gareth J. Rogers and Martyn P. Mahaut‐Smith. Their work appears in journals such as Nature Communications, Blood and The Journal of Clinical Endocrinology & Metabolism.

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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