Gemma Williams

796 total citations
14 papers, 361 citations indexed

About

Gemma Williams is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Gemma Williams has authored 14 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Physiology. Recurrent topics in Gemma Williams's work include Obesity, Physical Activity, Diet (3 papers), Nutritional Studies and Diet (3 papers) and Mobile Health and mHealth Applications (3 papers). Gemma Williams is often cited by papers focused on Obesity, Physical Activity, Diet (3 papers), Nutritional Studies and Diet (3 papers) and Mobile Health and mHealth Applications (3 papers). Gemma Williams collaborates with scholars based in Australia and United States. Gemma Williams's co-authors include Manny Noakes, Peter Clifton, Gary Wittert, Robert J. Norman, Lisa Moran, Gilly A. Hendrie, Genevieve James‐Martin, Robert G. Dluhy, Lloyd Axelrod and Danielle Baird and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Applied Physiology and Nutrients.

In The Last Decade

Gemma Williams

14 papers receiving 347 citations

Peers

Gemma Williams
Comparison fields: 5 of 80
  • Public Health, Environmental and Occupational Health 149
  • Reproductive Medicine 94
  • Ecology 62
  • Endocrinology, Diabetes and Metabolism 59
  • Physiology 58
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Neil R. Brett Canada
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Jennifer J. Ravia Israel
Linda G. Snetselaar United States
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Citations per field, relative to Gemma Williams
Gemma Williams · 1×
Citations per year, relative to Gemma Williams
Gemma Williams · 1×

Countries citing papers authored by Gemma Williams

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Williams. A scholar is included among the top collaborators of Gemma Williams 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 Gemma Williams. Gemma Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 14
2 71
3 2
4 6
5 17
6 17
7 12
8 1
9 15
10 12
11 110
12
High protein high fibre snack bars reduce food intake and improve short term glucose and insulin profiles compared with high fat snack bars.
21
13 20
14 43

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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