Shih‐Ping Cheng

3.7k citations
148 papers · 2.6k · h-index 29

Impact in

Papers in

Shih‐Ping Cheng

141 papers receiving 2.6k citations

Peers

Shih‐Ping Cheng
Comparison fields: 5 of 125
  • Nephrology 309
  • Endocrinology, Diabetes and Metabolism 592
  • Cancer Research 361
  • Pathology and Forensic Medicine 367
  • Oncology 402
Replace Sung-Kil Lim with:
Sung-Kil Lim South Korea
Beom Jin Lim South Korea
Barry S. Oemar Switzerland
Juan Rodríguez‐Vita Spain
Athanasios D. Anastasilakis Greece
Robert J. Padley United States
Paola Cassis Italy
Kaori Sato Japan
Weichun He China
Andrew Advani Canada
Shih‐Ping Cheng relative to Sung-Kil Lim South Korea Sung-Kil Lim's profile →
Citations per field
00.5×1.5×2.4×
Sung-Kil Lim · 1×
Citations per year

Countries citing papers authored by Shih‐Ping Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Ping Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Ping Cheng. 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 Shih‐Ping Cheng. The network helps show where Shih‐Ping Cheng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005183
2 2014121
3 2012116
4 200674
5 201271
6 201069
7 201767
8 201466
9 200764
10 201653
11 201950
12 201248
13 201348
14 201446
15 200843
16 201538
17 201938
18 201937
19 201136
20 200835

About Shih‐Ping Cheng

Shih‐Ping Cheng is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Nephrology and Oncology, having authored 148 papers that have together received 2.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (35 papers), Parathyroid Disorders and Treatments (16 papers), Cancer, Hypoxia, and Metabolism (8 papers), Thyroid and Parathyroid Surgery (7 papers), BRCA gene mutations in cancer (6 papers), Thyroid Disorders and Treatments (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Nephrology (309 citations), Endocrinology, Diabetes and Metabolism (592 citations), Cancer Research (361 citations), Pathology and Forensic Medicine (367 citations) and Oncology (402 citations). Shih‐Ping Cheng has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chien‐Liang Liu, Tsang‐Pai Liu, Yi‐Chiung Hsu, Jie-Jen Lee, Chien‐Liang Liu, Yuan‐Ching Chang, Jie‐Jen Lee, Tsen‐Long Yang, Jie-Jen Lee and Chi‐Yuan Tzen. Their work appears in journals such as World Journal of Surgery, Surgery, PLoS ONE, Journal of Surgical Oncology and Head & Neck.

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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