Chee W. Chia

65 papers receiving 3.2k citations

Chee W. Chia's Hit Papers

Evidence for brain glucose dysregulation in Alzheimer's disease 2017 · 375 citations
3750+3+6Years since publication100200300

Peers

Chee W. Chia
Comparison fields: 5 of 133
  • Aging 103
  • Endocrinology, Diabetes and Metabolism 863
  • Physiology 1.0k
  • Geriatrics and Gerontology 93
  • Biological Psychiatry 66
Replace Felipe Inserra with:
Felipe Inserra Argentina
Masaki Mogi Japan
Patrı́cia C. Brum Brazil
Jean‐Pierre Montani Switzerland
Radhika Muzumdar United States
Nathan L. Alderson United States
Tom L. Broderick United States
Julia Szendroedi Germany
Alice Y. Chang Taiwan
Jong Chul Won South Korea
Chee W. Chia relative to Felipe Inserra Argentina Felipe Inserra's profile →
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Citations per year

Countries citing papers authored by Chee W. Chia

Since Specialization
Citations

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

Fields of papers citing papers by Chee W. Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee W. Chia. 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 Chee W. Chia. The network helps show where Chee W. Chia may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evidence for brain glucose dysregulation in Alzheimer's disease
Hit paper breakdown →
2017375
2 2018281
3 2017167
4 2008165
5 2019159
6 2009147
7 2018131
8 2019123
9 202099
10 201990
11 202178
12 201171
13 201971
14 201971
15 201566
16 201162
17 201561
18 201661
19 202259
20 201656

About Chee W. Chia

Chee W. Chia is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Nutrition and Dietetics, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Nutrition and Health in Aging (10 papers), Pancreatic function and diabetes (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Biochemical Analysis and Sensing Techniques (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Aging (103 citations), Endocrinology, Diabetes and Metabolism (863 citations), Physiology (1.0k citations), Geriatrics and Gerontology (93 citations) and Biological Psychiatry (66 citations). Chee W. Chia has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Josephine M. Egan, Luigi Ferrucci, Eleanor M. Simonsick, Olga D. Carlson, Michelle Shardell, Dimitrios Kapogiannis, Roger J. Mullins, Marta González‐Freire, Christopher D. Saudek and Yang An. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Aging Cell, The Journals of Gerontology Series A, Diabetes and Andrology.

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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