Yun‐Shing Peng

588 citations
23 papers · 412 · h-index 10

Impact in

Papers in

Yun‐Shing Peng

20 papers receiving 402 citations

Peers

Yun‐Shing Peng
Comparison fields: 5 of 73
  • Hepatology 115
  • Endocrinology, Diabetes and Metabolism 148
  • Nephrology 29
  • Obstetrics and Gynecology 26
  • Epidemiology 97
Replace Giuseppe Repetto with:
Giuseppe Repetto Brazil
Xiaoyi Ye United States
Abdulmajeed Al‐Abdulkareem Saudi Arabia
Elly M. van Duijnhoven Netherlands
Rémy Schwarzer Austria
Alastair D. Smith United States
Zhaohui Bai China
Andrew J. Portal United Kingdom
Chrysoula Pipili Greece
Rudi Supriyadi Indonesia
Yun‐Shing Peng relative to Giuseppe Repetto Brazil Giuseppe Repetto's profile →
Citations per field
00.5×2.9×
Giuseppe Repetto · 1×
Citations per year

Countries citing papers authored by Yun‐Shing Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Shing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐Shing Peng. 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 Yun‐Shing Peng. The network helps show where Yun‐Shing Peng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006191
2 201132
3 201927
4 201826
5 201224
6 200916
7 201315
8 201213
9 201312
10 20139
11 20178
12 20068
13 20217
14 20116
15 20184
16 20134
17 20234
18 20213
19
Correlation of Ultrasonography with Fine Needle Aspiration Cytology and Final Pathological Diagnoses in Patients with Thyroid Nodules
20102
20 20131

About Yun‐Shing Peng

Yun‐Shing Peng is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Critical Care and Intensive Care Medicine, General Health Professions and Periodontics, having authored 23 papers that have together received 412 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (3 papers), Thermal Regulation in Medicine (2 papers), Oral microbiology and periodontitis research (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Hormonal Regulation and Hypertension (1 paper), Gestational Diabetes Research and Management (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Antiplatelet Therapy and Cardiovascular Diseases (1 paper). The work is most often cited by research in Hepatology (115 citations), Endocrinology, Diabetes and Metabolism (148 citations), Nephrology (29 citations), Obstetrics and Gynecology (26 citations) and Epidemiology (97 citations). Yun‐Shing Peng has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming‐Hung Tsai, Cheng‐Shyong Wu, Jau‐Min Lien, Pang‐Chi Chen, Ji‐Tseng Fang, Yung‐Chang Chen, Yu‐Pin Ho, Chun Yang, Mei‐Yen Chen and Yung‐Hsiang Lin. Their work appears in journals such as BMJ Open, Journal of Advanced Nursing, Journal of Nursing Research, International Journal of Nursing Studies and Hepatology.

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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