Choon Kiat Sim

769 citations
15 papers · 568 · h-index 10

Impact in

Papers in

    • Gut microbiota and health 3
    • Ubiquitin and proteasome pathways 2
    • Metabolism, Diabetes, and Cancer 2
    • Adipose Tissue and Metabolism 6
    • Biochemical effects in animals 2

Choon Kiat Sim

15 papers receiving 558 citations

Peers

Choon Kiat Sim
Comparison fields: 5 of 100
  • Infectious Diseases 109
  • Biological Psychiatry 11
  • Endocrine and Autonomic Systems 30
  • Geriatrics and Gerontology 14
  • Endocrinology 19
Replace Dana Gášková with:
Dana Gášková Czechia
Qingping Xu United States
Bozena Zemaitaitis United States
David Jimenez‐Morales United States
Eva Kummer Switzerland
Christopher G. Taylor United States
Daphne H. E. W. Huberts Netherlands
Kundlik Gadhave India
Hyun‐Ok Song South Korea
Masaya Takehara Japan
Choon Kiat Sim relative to Dana Gášková Czechia Dana Gášková's profile →
Citations per field
00.5×4.2×
Dana Gášková · 1×
Citations per year

Countries citing papers authored by Choon Kiat Sim

Since Specialization
Citations

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

Fields of papers citing papers by Choon Kiat Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choon Kiat Sim. 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 Choon Kiat Sim. The network helps show where Choon Kiat Sim may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2021170
2 2014100
3 202085
4 201245
5 200739
6 201733
7 201726
8 202218
9 202313
10 201412
11 20169
12 20159
13 20166
14 20242
15 20241

About Choon Kiat Sim

Choon Kiat Sim is a scholar working on Molecular Biology, Physiology, Geriatrics and Gerontology, Epidemiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 568 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Gut microbiota and health (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Ubiquitin and proteasome pathways (2 papers), Fungal Infections and Studies (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Biochemical effects in animals (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Infectious Diseases (109 citations), Biological Psychiatry (11 citations), Endocrine and Autonomic Systems (30 citations), Geriatrics and Gerontology (14 citations) and Endocrinology (19 citations). Choon Kiat Sim has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Yasmine Belkaid, Julia A. Segre, Feng Xu, Daniel B. Forger, Apollo Stacy, Bin Liu, Guangxue Feng, Qinglian Hu, Meng Gao and Chris Wai Tung Leung. Their work appears in journals such as PLoS ONE, Cell Cycle, Chemical Communications, Microbiome and Archives of Biochemistry and Biophysics.

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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