Kai Kang

1.9k total citations · 1 hit paper
71 papers, 1.2k citations indexed

About

Kai Kang is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Kai Kang has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 19 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Kai Kang's work include Cancer Immunotherapy and Biomarkers (6 papers), Ferroptosis and cancer prognosis (6 papers) and Lung Cancer Research Studies (6 papers). Kai Kang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Ferroptosis and cancer prognosis (6 papers) and Lung Cancer Research Studies (6 papers). Kai Kang collaborates with scholars based in China, United States and Philippines. Kai Kang's co-authors include Ailin Zhao, Yijun Wu, Hong Ma, Feng Mu, Weili Wu, Fucun Xie, Yanhua Du, Haomin Chen, Bianli Xu and Xueyong Huang and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Journal of Hepatology.

In The Last Decade

Kai Kang

63 papers receiving 1.1k citations

Hit Papers

Dual blockade immunotherapy targeting PD-1/PD-L1 and CTLA... 2024 2026 2025 2024 20 40 60

Peers

Kai Kang
Comparison fields: 5 of 121
  • Infectious Diseases 446
  • Ecology, Evolution, Behavior and Systematics 226
  • Molecular Biology 203
  • Oncology 201
  • Global and Planetary Change 189
Replace Ali Kaya with:
Ali Kaya Türkiye
Sung Wook Lee South Korea
H Fujii Japan
Roberto Gabriel Pozner Argentina
Zayd Eldadah United States
Shaoying Chen China
Marc G. Golightly United States
Guibin Yang China
Mehmet Güler United States
Zheng Xiang China
Ali Kaya Türkiye View profile →
Citations per field, relative to Kai Kang
Kai Kang · 1×
Citations per year, relative to Kai Kang
Kai Kang · 1×

Countries citing papers authored by Kai Kang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kang. A scholar is included among the top collaborators of Kai Kang 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 Kai Kang. Kai Kang 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 2
4 2
5 0
6 1
7 3
8 2
9 6
10 10
11 17
12 6
13 9
14 2
15 14
16 5
17 15
18 30
19 0
20
Effects of HZ08,a novel P-glycoprotein inhibitor, on the reversal of P-glyco-protein mediated multidrug resistance in nude mice and cytochrome P-450 ac-tivities in rat liver microsomes
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026