Su-Chin Ho

918 citations
16 papers · 788 · h-index 12

Impact in

Papers in

Su-Chin Ho

16 papers receiving 736 citations

Peers

Su-Chin Ho
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 330
  • Pathology and Forensic Medicine 282
  • Reproductive Medicine 63
  • Cellular and Molecular Neuroscience 124
  • Ophthalmology 43
Replace J. Ham with:
J. Ham United Kingdom
P. Borboni Italy
Preenie deS. Senanayake United States
Omar Magid Hauache Brazil
Tsuyoshi Karashima Japan
Theo M. Verleun Netherlands
Aino O.A. Zschauer United States
Darwin O. Larco United States
Franca Stivala Italy
Yasutomi Kuroki Japan
Su-Chin Ho relative to J. Ham United Kingdom J. Ham's profile →
Citations per field
00.5×2×4×6.3×
J. Ham · 1×
Citations per year

Countries citing papers authored by Su-Chin Ho

Since Specialization
Citations

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

Fields of papers citing papers by Su-Chin Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Chin Ho. 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 Su-Chin Ho. The network helps show where Su-Chin Ho may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2002168
2 1999121
3 2000111
4 200463
5 200162
6 199955
7 200351
8
In the absence of dietary surveillance, chitosan does not reduce plasma lipids or obesity in hypercholesterolaemic obese Asian subjects.
200147
9 200439
10 200521
11
Subclinical thyroid disease.
200314
12 199913
13 200312
14 20088
15 20062
16
Thyroid stimulating hormone receptor antibody levels in Singaporean patients with autoimmune thyroid disease.
19971

About Su-Chin Ho

Su-Chin Ho is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Genetics and Molecular Biology, having authored 16 papers that have together received 788 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Ophthalmology and Eye Disorders (4 papers), Neuropeptides and Animal Physiology (4 papers), Diabetes and associated disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Receptor Mechanisms and Signaling (3 papers), Restless Legs Syndrome Research (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (330 citations), Pathology and Forensic Medicine (282 citations), Reproductive Medicine (63 citations), Cellular and Molecular Neuroscience (124 citations) and Ophthalmology (43 citations). Su-Chin Ho has collaborated with scholars based in Singapore, Belgium and France. Frequent co-authors include Daphne H C Khoo, Gilbert Vassart, Sabine Costagliola, L. L. Seah, Peter Eng, E Shyong Tai, K. S. Fong, Virginie Vlaeminck‐Guillem, Patrice Rodien and Alex C.K. Fok. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Parkinsonism & Related Disorders, Molecular Endocrinology and Journal of Molecular Endocrinology.

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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