Chun‐Kai Liao

658 total citations
53 papers, 394 citations indexed

About

Chun‐Kai Liao is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chun‐Kai Liao has authored 53 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 23 papers in Surgery and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chun‐Kai Liao's work include Colorectal Cancer Surgical Treatments (23 papers), Gastric Cancer Management and Outcomes (11 papers) and Colorectal Cancer Screening and Detection (10 papers). Chun‐Kai Liao is often cited by papers focused on Colorectal Cancer Surgical Treatments (23 papers), Gastric Cancer Management and Outcomes (11 papers) and Colorectal Cancer Screening and Detection (10 papers). Chun‐Kai Liao collaborates with scholars based in Taiwan, United States and Japan. Chun‐Kai Liao's co-authors include Jeng‐Fu You, Yih‐Jong Chern, Yu‐Jen Hsu, Jy‐Ming Chiang, Pao‐Shiu Hsieh, Wen‐Sy Tsai, Chien-Yuh Yeh, Ming‐Chung Wang, Hsin‐Yuan Hung and Jing‐Jong Shyue and has published in prestigious journals such as Nano Letters, Blood and Cancer.

In The Last Decade

Chun‐Kai Liao

42 papers receiving 393 citations

Peers

Chun‐Kai Liao
Comparison fields: 5 of 70
  • Oncology 251
  • Surgery 130
  • Pulmonary and Respiratory Medicine 101
  • Pathology and Forensic Medicine 46
  • Biomedical Engineering 42
Replace Jacek Fijuth with:
Jacek Fijuth Poland
Laura Marucci Italy
Raffaele Solla Italy
Tomoya Tago Japan
Sergio Valeri Italy
Antonello La Rocca Italy
Kristin La Fortune United States
Camilla Kronborg Denmark
Yao Zhou China
Qinghua Zhong China
Jacek Fijuth Poland View profile →
Citations per field, relative to Chun‐Kai Liao
Chun‐Kai Liao · 1×
Citations per year, relative to Chun‐Kai Liao
Chun‐Kai Liao · 1×

Countries citing papers authored by Chun‐Kai Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Kai Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Kai Liao. 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 Chun‐Kai Liao. The network helps show where Chun‐Kai Liao may publish in the future.

Co-authorship network of co-authors of Chun‐Kai Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Kai Liao. A scholar is included among the top collaborators of Chun‐Kai Liao 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 Chun‐Kai Liao. Chun‐Kai Liao 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 8
6 0
7 1
8 1
9 6
10 1
11 1
12 3
13 2
14 3
15 12
16 3
17 12
18 12
19 21
20 31

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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