Shi-Ming Lin

2.0k citations
7 papers · 248 indexed · 1 hit paper · h-index 5
Topics
Hepatocellular Carcinoma Treatment and Prognosis (7 papers)Cancer Mechanisms and Therapy (3 papers)Pancreatic and Hepatic Oncology Research (2 papers)
Partner nations
TaiwanFranceJapan

In The Last Decade

Shi-Ming Lin

7 papers receiving 248 citations

Hit Papers

A Changing Paradigm for the Treatment of Intermediate-Sta...2020202620222024202050100150

Peers

Shi-Ming Lin
Comparison fields: 5 of 33
  • Hepatology 222
  • Epidemiology 85
  • Pathology and Forensic Medicine 72
  • Pulmonary and Respiratory Medicine 59
  • Cancer Research 47
Replace Guohong Han with:
Guohong Han China
Liangliang Qiao China
Fei Cao China
Songqiang Zhou China
Youen Lin China
Xuqi Sun China
Yu-Jie Xu China
Joon Suk Kim South Korea
Barbara Ginanni Italy
Yoshihiro Ishimaru Japan
Shi-Ming Lin relative to Guohong Han China Guohong Han's profile →
Citations per field
00.5×6.8×
Guohong Han · 1×
Citations per year

Countries citing papers authored by Shi-Ming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shi-Ming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi-Ming Lin. 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 Shi-Ming Lin. The network helps show where Shi-Ming Lin may publish in the future.

Co-authorship network of co-authors of Shi-Ming Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shi-Ming Lin. A scholar is included among the top collaborators of Shi-Ming Lin 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 Shi-Ming Lin. Shi-Ming Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 4
2 1
3
A Changing Paradigm for the Treatment of Intermediate-Stage Hepatocellular Carcinoma: Asia-Pacific Primary Liver Cancer Expert Consensus Statementsbreakdown →
194
4 14
5 1
6 26
7 8

About Shi-Ming Lin

Shi-Ming Lin is a scholar working on Hepatology, Pathology and Forensic Medicine and Cell Biology, having authored 7 papers that have together received 248 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cancer Mechanisms and Therapy (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Hepatology (222 citations), Pathology and Forensic Medicine (72 citations) and Cancer Research (47 citations). Shi-Ming Lin has collaborated with scholars based in Taiwan, France and Japan. Frequent co-authors include Yi‐Hsiang Huang, Jian Zhou, Ann‐Lii Cheng, Masatoshi Kudo, Sheng-Long Ye, Su Pin Choo, Shiro Miyayama, Stephen L. Chan, Kwang‐Hyub Han and Chung-Kwe Wang. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Roentgenology and Hepatology International.

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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