Chunmin C. Lo

26 papers receiving 505 citations

Peers

Chunmin C. Lo
Comparison fields: 5 of 74
  • Endocrine and Autonomic Systems 117
  • Endocrinology, Diabetes and Metabolism 114
  • Physiology 164
  • Nutrition and Dietetics 72
  • Biochemistry 29
Replace Sarah Farr with:
Sarah Farr Canada
Janine J. Geerling Netherlands
Anne K. McGavigan United Kingdom
Kimitaka Shibue Japan
Libbey S. O’Farrell United States
G. Shillabeer Canada
Satoshi Hirako Japan
Todd M. Suter United States
Jennifer Athanacio United States
Ann-Marie Richard United States
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Citations per field
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Citations per year

Countries citing papers authored by Chunmin C. Lo

Since Specialization
Citations

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

Fields of papers citing papers by Chunmin C. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunmin C. Lo. 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 Chunmin C. Lo. The network helps show where Chunmin C. Lo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201565
2 200762
3 201148
4 200843
5 201239
6 201538
7 202026
8 200622
9 200818
10 201217
11 201716
12 201516
13 201415
14 202314
15 201914
16 201911
17 202010
18 20178
19 20217
20 20186

About Chunmin C. Lo

Chunmin C. Lo is a scholar working on Endocrine and Autonomic Systems, Physiology, Epidemiology, Surgery and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 512 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (10 papers), Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Neuropeptides and Animal Physiology (7 papers), Diabetes Treatment and Management (5 papers), Cholesterol and Lipid Metabolism (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (117 citations), Endocrinology, Diabetes and Metabolism (114 citations), Physiology (164 citations), Nutrition and Dietetics (72 citations) and Biochemistry (29 citations). Chunmin C. Lo has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Patrick Tso, Stephen C. Woods, Min Liu, Karen T. Coschigano, Ling Shen, Min Liu, Min Liu, Alison B. Kohan, Fei Wang and W. Sean Davidson. Their work appears in journals such as Physiology & Behavior, American Journal of Physiology-Gastrointestinal and Liver Physiology, Endocrinology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and International Journal of Molecular Sciences.

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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