Gareth E. Lim
Impact in
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- Regulation of Appetite and Obesity
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- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
Papers in
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- 14-3-3 protein interactions 12
- Ubiquitin and proteasome pathways 10
- Metabolism, Diabetes, and Cancer 7
- Surgery 16
- Pancreatic function and diabetes 15
- Co-authors
- Patricia L. Brubaker (4 shared papers)James D. Johnson (14 shared papers)Nicole M. Templeman (4 shared papers)Warren G. Foster (3 shared papers)Alison C. Holloway (3 shared papers)Jim Petrik (3 shared papers)Ali Asadi (2 shared papers)Timothy J. Kieffer (2 shared papers)
- Journals
- Endocrinology (5 papers)Molecular Metabolism (3 papers)Diabetes (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Diabetologia (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Gareth E. Lim
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Endocrine and Autonomic Systems 224
- Endocrinology, Diabetes and Metabolism 549
- Physiology 585
- Surgery 635
- Aging 24
Countries citing papers authored by Gareth E. Lim
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
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.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 388 | |
| 2 | 2006 | 175 | |
| 3 | 2005 | 154 | |
| 4 | 2008 | 137 | |
| 5 | 2017 | 130 | |
| 6 | 2008 | 117 | |
| 7 | 2005 | 113 | |
| 8 | 2017 | 101 | |
| 9 | 2011 | 52 | |
| 10 | 2015 | 48 | |
| 11 | 2009 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2016 | 34 | |
| 14 | 2014 | 31 | |
| 15 | 2013 | 30 | |
| 16 | 2011 | 30 | |
| 17 | 2013 | 28 | |
| 18 | 2018 | 26 | |
| 19 | 2016 | 24 | |
| 20 | 2021 | 20 |
About Gareth E. Lim
Gareth E. Lim is a scholar working on Molecular Biology, Surgery, Biochemistry, Cell Biology and Physiology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), 14-3-3 protein interactions (12 papers), Ubiquitin and proteasome pathways (10 papers), Lipid metabolism and biosynthesis (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Adipose Tissue and Metabolism (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (224 citations), Endocrinology, Diabetes and Metabolism (549 citations), Physiology (585 citations), Surgery (635 citations) and Aging (24 citations). Gareth E. Lim has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Patricia L. Brubaker, James D. Johnson, Nicole M. Templeman, Warren G. Foster, Alison C. Holloway, Jim Petrik, Ali Asadi, Timothy J. Kieffer, Susanne M. Clee and Arya E. Mehran. Their work appears in journals such as Endocrinology, Molecular Metabolism, Diabetes, American Journal of Physiology-Endocrinology and Metabolism and Diabetologia.
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.