Ming‐Lang Shih

528 citations
25 papers · 372 indexed · h-index 9
Topics
Thyroid and Parathyroid Surgery (7 papers)Thyroid Cancer Diagnosis and Treatment (5 papers)Head and Neck Anomalies (3 papers)

In The Last Decade

Ming‐Lang Shih

24 papers receiving 363 citations

Peers

Ming‐Lang Shih
Comparison fields: 5 of 50
  • Surgery 262
  • Endocrinology, Diabetes and Metabolism 114
  • Pulmonary and Respiratory Medicine 65
  • Hepatology 62
  • Nephrology 51
Replace Olivier Saint Marc with:
Olivier Saint Marc France
Fatih Tunca Türkiye
Chung-Bao Hsieh Taiwan
Jacopo D’Agostino France
Emanuela Varaldo Italy
Yasemin Giles Şenyürek Türkiye
Joseph Whiteley United States
M D'Ajello Italy
Nihat Aksakal Türkiye
Nunzia Cinzia Paladino France
Ming‐Lang Shih relative to Olivier Saint Marc France Olivier Saint Marc's profile →
Citations per field
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Olivier Saint Marc · 1×
Citations per year

Countries citing papers authored by Ming‐Lang Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Lang Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Lang Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Lang Shih. A scholar is included among the top collaborators of Ming‐Lang Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Lang Shih. Ming‐Lang Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 5
3 5
4 5
5 15
6 8
7 5
8 4
9 1
10 50
11 8
12 7
13 4
14 86
15 4
16 43
17 8
18 4
19 2
20
Littoral cell angioma of the spleen in a patient with hepatocellular carcinoma.
17

About Ming‐Lang Shih

Ming‐Lang Shih is a scholar working on Hepatology, Surgery and Nephrology, having authored 25 papers that have together received 372 indexed citations. Recurring topics across this work include Thyroid and Parathyroid Surgery (7 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Head and Neck Anomalies (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (47 citations), Hepatology (62 citations) and Nephrology (51 citations). Ming‐Lang Shih has collaborated with scholars based in Taiwan, United States and Romania. Frequent co-authors include Quan‐Yang Duh, Jyh‐Cherng Yu, Chung-Bao Hsieh, James A. Lee, Orlo H. Clark, Kuo‐Feng Hsu, Electron Kebebew, Yao‐Chi Liu, Chih‐Shung Wong and Chun‐Chang Yeh. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Surgeons and Canadian Medical Association Journal.

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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