Wei‐Hsin Ting

568 citations
32 papers · 422 · h-index 11

Impact in

Papers in

Wei‐Hsin Ting

30 papers receiving 413 citations

Peers

Wei‐Hsin Ting
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 98
  • Genetics 126
  • Health, Toxicology and Mutagenesis 56
  • Atmospheric Science 71
  • Reproductive Medicine 21
Replace Pei-Hsin Chen with:
Pei-Hsin Chen Taiwan
Jane McNeilly United Kingdom
Ke Dou China
Chiara Cassani Italy
Mo Kyung Jung South Korea
Xiaoting Shen China
Yi‐Lin Dan China
Vettriselvi Venkatesan India
Manouk van der Steen Netherlands
Wei‐Hsin Ting relative to Pei-Hsin Chen Taiwan Pei-Hsin Chen's profile →
Citations per field
00.5×5×10×14×
Pei-Hsin Chen · 1×
Citations per year

Countries citing papers authored by Wei‐Hsin Ting

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Hsin Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Hsin Ting. 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 Wei‐Hsin Ting. The network helps show where Wei‐Hsin Ting may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei‐Hsin Ting, 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 Wei‐Hsin Ting Line = papers co-authored together Wei‐Hsin Ting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200681
2 201654
3 202041
4 201233
5
Clinical and laboratory characteristics of type 1 diabetes in children and adolescents: experience from a medical center.
200717
6 201716
7 202016
8 201215
9 201814
10 201113
11 202011
12 201710
13
Immunotherapy of thyroid cancer by induction of autoimmune thyroiditis.
198310
14 201210
15
Primary carcinoid tumor of the ovary arising in a mature cystic teratoma: a case report.
20149
16 20238
17 20148
18 20187
19 20147
20 20207

About Wei‐Hsin Ting

Wei‐Hsin Ting is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Immunology, Reproductive Medicine and Surgery, having authored 32 papers that have together received 422 indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (4 papers), T-cell and B-cell Immunology (4 papers), Thyroid Disorders and Treatments (3 papers), Diabetes Management and Research (3 papers), Hypothalamic control of reproductive hormones (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Genetics (126 citations), Health, Toxicology and Mutagenesis (56 citations), Atmospheric Science (71 citations) and Reproductive Medicine (21 citations). Wei‐Hsin Ting has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chi‐Yu Huang, Yann‐Jinn Lee, C YEH, Yao‐Tung Lin, Chao‐Hsu Lin, Fu‐Sung Lo, Yi‐Lei Wu, Kuo‐Liong Chien, Yu‐Kang Tu and Yi‐Chen Lee. Their work appears in journals such as Frontiers in Endocrinology, PLoS ONE, Human Immunology, Journal of Pediatric Urology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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