Huang‐Kai Kao

2.5k total citations
74 papers, 1.9k citations indexed

About

Huang‐Kai Kao is a scholar working on Surgery, Oncology and Otorhinolaryngology. According to data from OpenAlex, Huang‐Kai Kao has authored 74 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 22 papers in Oncology and 20 papers in Otorhinolaryngology. Recurrent topics in Huang‐Kai Kao's work include Head and Neck Cancer Studies (20 papers), Reconstructive Surgery and Microvascular Techniques (17 papers) and Wound Healing and Treatments (9 papers). Huang‐Kai Kao is often cited by papers focused on Head and Neck Cancer Studies (20 papers), Reconstructive Surgery and Microvascular Techniques (17 papers) and Wound Healing and Treatments (9 papers). Huang‐Kai Kao collaborates with scholars based in Taiwan, United States and United Kingdom. Huang‐Kai Kao's co-authors include Kai‐Ping Chang, Lifei Guo, Ming‐Huei Cheng, Yu‐Liang Chang, Yenlin Huang, Fu‐Chan Wei, Gëorge F. Murphy, Charles A. Hergrueter, Allen S. Liu and Richard G. Reish and has published in prestigious journals such as PLoS ONE, Cancer and Annals of Surgery.

In The Last Decade

Huang‐Kai Kao

71 papers receiving 1.9k citations

Peers

Huang‐Kai Kao
Comparison fields: 5 of 91
  • Surgery 916
  • Molecular Biology 424
  • Oncology 388
  • Otorhinolaryngology 346
  • Pulmonary and Respiratory Medicine 219
Replace Satoru Ozeki with:
Satoru Ozeki Japan
Guy J. Petruzzelli United States
Isabel Fonseca Portugal
Nicholas Kalavrezos United Kingdom
Roberto Broccoletti Italy
William R. Panje United States
N. Mathieu France
Tsuneki Sugihara Japan
Emanuele Cigna Italy
Bijan Khademi Iran
Satoru Ozeki Japan View profile →
Citations per field, relative to Huang‐Kai Kao
Huang‐Kai Kao · 1×
Citations per year, relative to Huang‐Kai Kao
Huang‐Kai Kao · 1×

Countries citing papers authored by Huang‐Kai Kao

Since Specialization
Citations

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

Fields of papers citing papers by Huang‐Kai Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huang‐Kai Kao

This figure shows the co-authorship network connecting the top 25 collaborators of Huang‐Kai Kao. A scholar is included among the top collaborators of Huang‐Kai Kao 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 Huang‐Kai Kao. Huang‐Kai Kao 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 2
3 1
4 1
5 2
6 12
7 38
8 22
9 1
10 6
11 17
12 17
13 10
14 53
15 2
16 20
17 71
18 21
19 33
20 13

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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