Travis D. Webber

16 papers receiving 836 citations

Peers

Travis D. Webber
Comparison fields: 5 of 61
  • Endocrine and Autonomic Systems 212
  • Endocrinology, Diabetes and Metabolism 268
  • Nutrition and Dietetics 170
  • Sensory Systems 49
  • Surgery 310
Replace Nathalie Courtois‐Coutry with:
Nathalie Courtois‐Coutry France
M. L. Schubert United States
Ph. Heitz Switzerland
P. Komwatana Australia
Manju Surana United States
Shuang‐Xia Zhao China
Catherine Lee May United States
Einar Castillo Switzerland
Annette Møldrup Denmark
Romina Ficarella Italy
Travis D. Webber relative to Nathalie Courtois‐Coutry France Nathalie Courtois‐Coutry's profile →
Citations per field
00.5×8.8×
Nathalie Courtois‐Coutry · 1×
Citations per year

Countries citing papers authored by Travis D. Webber

Since Specialization
Citations

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

Fields of papers citing papers by Travis D. Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis D. Webber. 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 Travis D. Webber. The network helps show where Travis D. Webber may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008158
2 2006132
3 2010126
4 1999118
5 200689
6 201356
7 200639
8 201530
9 200928
10 201915
11 202114
12 200913
13 200811
14 20108
15 20237
16 20215

About Travis D. Webber

Travis D. Webber is a scholar working on Surgery, Endocrine and Autonomic Systems, Molecular Biology, Nutrition and Dietetics and Genetics, having authored 16 papers that have together received 849 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Regulation of Appetite and Obesity (6 papers), Biochemical Analysis and Sensing Techniques (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes Management and Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Diabetes and associated disorders (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (212 citations), Endocrinology, Diabetes and Metabolism (268 citations), Nutrition and Dietetics (170 citations), Sensory Systems (49 citations) and Surgery (310 citations). Travis D. Webber has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Timothy J. Kieffer, Rhonda D. Wideman, Ali Asadi, Madeleine Speck, Yukihiro Fujita, Blair K. Gage, Toru Nakano, Scott D. Covey, Susanna M. Lewis and David S. King. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Scientific Reports, Differentiation and Molecular Therapy.

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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