Chin-Shang Li

1.8k citations
35 papers · 1.3k indexed · h-index 18
Topics
Liver Disease Diagnosis and Treatment (5 papers)Statistical Methods and Bayesian Inference (3 papers)Statistical Methods and Inference (3 papers)
Partner nations
United StatesTaiwanItaly

In The Last Decade

Chin-Shang Li

35 papers receiving 1.3k citations

Peers

Chin-Shang Li
Comparison fields: 5 of 115
  • Pulmonary and Respiratory Medicine 381
  • Oncology 256
  • Genetics 252
  • Surgery 239
  • Epidemiology 231
Replace Martin N.J.M. Wasser with:
Martin N.J.M. Wasser Netherlands
Guillermo Pons‐Estel United States
L. Fischer Germany
Luís J. Catoggio Argentina
Karl T. Beer Switzerland
Anne Devillers France
Katherine Zukotynski Canada
Jackie Szymonifka United States
Eugenio Salizzoni Italy
Massimo Venturini Italy
Chin-Shang Li relative to Martin N.J.M. Wasser Netherlands Martin N.J.M. Wasser's profile →
Citations per field
00.5×1.5×
Martin N.J.M. Wasser · 1×
Citations per year

Countries citing papers authored by Chin-Shang Li

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Shang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Shang Li. 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 Chin-Shang Li. The network helps show where Chin-Shang Li may publish in the future.

Co-authorship network of co-authors of Chin-Shang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Shang Li. A scholar is included among the top collaborators of Chin-Shang Li 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 Chin-Shang Li. Chin-Shang Li 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 9
2 6
3 2
4 14
5 10
6 13
7 21
8 38
9 5
10 20
11 48
12 7
13 40
14 77
15 5
16 24
17 85
18 6
19 93
20 3

About Chin-Shang Li

Chin-Shang Li is a scholar working on Hepatology, Virology and Statistics and Probability, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Hepatology (229 citations), Genetics (252 citations) and Hematology (201 citations). Chin-Shang Li has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include M. Beth McCarville, Matthew P. Smeltzer, Diana L. Miglioretti, Karla Kerlikowske, Jeffrey A. Tice, Russell E. Ware, Jane S. Hankins, Claudia M. Hillenbrand, Winfred C. Wang and Celine M. Vachon. Their work appears in journals such as Journal of Clinical Oncology, Blood and Analytical Chemistry.

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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