Chaoyuan Kuang

545 total citations
21 papers, 381 citations indexed

About

Chaoyuan Kuang is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Chaoyuan Kuang has authored 21 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Chaoyuan Kuang's work include Colorectal Cancer Treatments and Studies (3 papers), Microtubule and mitosis dynamics (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Chaoyuan Kuang is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), Microtubule and mitosis dynamics (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Chaoyuan Kuang collaborates with scholars based in United States, China and Canada. Chaoyuan Kuang's co-authors include Jian Yu, Lin Zhang, Suisui Hao, Yi Huang, Darleny Y. Lizardo, Cheng‐Yu Lee, Jill M. Haenfler, Mi Hee Lim, Stephen J. Lippard and Jingshan Tong and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Development.

In The Last Decade

Chaoyuan Kuang

19 papers receiving 378 citations

Peers

Chaoyuan Kuang
Comparison fields: 5 of 60
  • Oncology 208
  • Molecular Biology 170
  • Immunology 70
  • Cancer Research 68
  • Pathology and Forensic Medicine 61
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Rik de Wijn Netherlands
Cristina Corno Italy
Vera Timmermans Wielenga Denmark
Haofan Wang China
Patrick Reichl Austria
Ramona Schulz‐Heddergott Germany
Wenna Jiang China
Mihai I. Truica United States
E. McDermott Ireland
Janine M. Buonato United States
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Citations per field, relative to Chaoyuan Kuang
Chaoyuan Kuang · 1×
Citations per year, relative to Chaoyuan Kuang
Chaoyuan Kuang · 1×

Countries citing papers authored by Chaoyuan Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoyuan Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoyuan Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoyuan Kuang. A scholar is included among the top collaborators of Chaoyuan Kuang 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 Chaoyuan Kuang. Chaoyuan Kuang 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 1
4 2
5 5
6 7
7 5
8 1
9 18
10 6
11 42
12 2
13 7
14 149
15 53
16 1
17 4
18 2
19 34
20 30

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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