Gareth E. Lim

33 papers receiving 2k citations

Gareth E. Lim's Hit Papers

Hyperinsulinemia Drives Diet-Induced Obesity Independently of Brain Insulin Production 2012 · 418 citations
4180+4+9Years since publication100200300400

Peers

Gareth E. Lim
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 165
  • Endocrinology, Diabetes and Metabolism 413
  • Aging 36
  • Pediatrics, Perinatology and Child Health 170
  • Surgery 494
Replace Peter Huypens with:
Peter Huypens Germany
Mirian Ueno Brazil
Kyle D. Copps United States
Liping Qiao United States
Jianhua Shao United States
Motoharu Awazawa Japan
Lingguang Cui United States
Carrie E. McCurdy United States
Núria Roglans Spain
Toyoyoshi Uchida Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gareth E. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Gareth E. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gareth E. Lim. 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 Gareth E. Lim. The network helps show where Gareth E. Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hyperinsulinemia Drives Diet-Induced Obesity Independently of Brain Insulin Production
Hit paper breakdown →
2012418
2 2006189
3 2005161
4 2008148
5 2017140
6 2008121
7 2017119
8 2005115
9 201553
10 201152
11 201641
12 201740
13 200938
14 201336
15 202335
16 201134
17 201433
18 201332
19 201829
20 201627

About Gareth E. Lim

Gareth E. Lim is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), 14-3-3 protein interactions (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (7 papers), Diabetes Treatment and Management (3 papers), Birth, Development, and Health (3 papers), Prenatal Substance Exposure Effects (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (165 citations), Endocrinology, Diabetes and Metabolism (413 citations), Aging (36 citations), Pediatrics, Perinatology and Child Health (170 citations) and Surgery (494 citations). Gareth E. Lim has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Patricia Lee Brubaker, J David Johnson, Nicole M. Templeman, Warren G. Foster, Jim Petrik, Alison C. Holloway, Susanne M. Clee, Timothy J. Kieffer, Kwan Yi Chu and Søs Skovsø. Their work appears in journals such as Endocrinology, Molecular Metabolism, Nature Communications, The FASEB Journal and Cell Death and Disease.

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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