Kan Gao

3.5k total citations
101 papers, 2.6k citations indexed

About

Kan Gao is a scholar working on Otorhinolaryngology, Surgery and Oncology. According to data from OpenAlex, Kan Gao has authored 101 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Otorhinolaryngology, 36 papers in Surgery and 35 papers in Oncology. Recurrent topics in Kan Gao's work include Head and Neck Cancer Studies (43 papers), Advanced Fiber Optic Sensors (31 papers) and Photonic and Optical Devices (25 papers). Kan Gao is often cited by papers focused on Head and Neck Cancer Studies (43 papers), Advanced Fiber Optic Sensors (31 papers) and Photonic and Optical Devices (25 papers). Kan Gao collaborates with scholars based in Australia, China and United States. Kan Gao's co-authors include Jonathan R. Clark, Ardalan Ebrahimi, Christopher J. O’Brien, Kerwin F. Shannon, Ruta Gupta, Zhengtian Gu, Anthony Clifford, Tsu‐Hui Low, Michael Elliott and Rajan S. Patel and has published in prestigious journals such as Cancer, Chemical Engineering Journal and American Journal Of Pathology.

In The Last Decade

Kan Gao

95 papers receiving 2.6k citations

Peers

Kan Gao
Comparison fields: 5 of 120
  • Otorhinolaryngology 1.2k
  • Surgery 1.1k
  • Oncology 981
  • Epidemiology 470
  • Electrical and Electronic Engineering 369
Replace Boban M. Erović with:
Boban M. Erović Austria
Muneyuki Masuda Japan
Markus Brunner Austria
Yenlin Huang Taiwan
Masanobu Sato Japan
Patrick J. Schuler Germany
Sietze Reitsma Netherlands
Hirohisa Machida Japan
Giuseppe Caruso Italy
Yu-Jie Huang Taiwan
Boban M. Erović Austria View profile →
Citations per field, relative to Kan Gao
Kan Gao · 1×
Citations per year, relative to Kan Gao
Kan Gao · 1×

Countries citing papers authored by Kan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Kan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kan Gao. 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 Kan Gao. The network helps show where Kan Gao may publish in the future.

Co-authorship network of co-authors of Kan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Gao. A scholar is included among the top collaborators of Kan Gao 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 Kan Gao. Kan Gao 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 3
2 2
3 5
4 3
5 6
6 20
7 27
8 8
9 25
10 48
11 56
12 41
13 98
14 109
15 76
16 54
17 24
18 72
19
Twist characteristics of the ultraviolet-written long-period fiber gratings
13
20
Simultaneous Strain and Temperature Measurement Using Single High-duty-cycle Sampled Fiber Bragg Grating
0

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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