Kaiyuan Wu

1.0k total citations
39 papers, 627 citations indexed

About

Kaiyuan Wu is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Kaiyuan Wu has authored 39 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in Kaiyuan Wu's work include Mitochondrial Function and Pathology (5 papers), Immunotherapy and Immune Responses (5 papers) and RNA Interference and Gene Delivery (4 papers). Kaiyuan Wu is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Immunotherapy and Immune Responses (5 papers) and RNA Interference and Gene Delivery (4 papers). Kaiyuan Wu collaborates with scholars based in China, United States and Portugal. Kaiyuan Wu's co-authors include Michael N. Sack, Lingdi Wang, Iain Scott, Kim Han, Dharendra Thapa, Yong Chen, Marjan Guček, Guang‐Hui Liu, Peng Wang and Xu Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Kaiyuan Wu

36 papers receiving 616 citations

Peers

Kaiyuan Wu
Comparison fields: 5 of 90
  • Molecular Biology 373
  • Epidemiology 134
  • Physiology 110
  • Immunology 90
  • Cancer Research 71
Replace Jee‐Hyun Um with:
Jee‐Hyun Um South Korea
Konstantina Georgila Greece
Nur Mehpare Kocatürk Türkiye
Xueping Zheng China
Soo‐Han Yoon South Korea
Edgard M. Mejia Canada
Purvi Trivedi Canada
Chaojun Yan China
Elizabeth C. Hinchy United Kingdom
Luke Fritzky United States
Jee‐Hyun Um South Korea View profile →
Citations per field, relative to Kaiyuan Wu
Kaiyuan Wu · 1×
Citations per year, relative to Kaiyuan Wu
Kaiyuan Wu · 1×

Countries citing papers authored by Kaiyuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyuan Wu. A scholar is included among the top collaborators of Kaiyuan Wu 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 Kaiyuan Wu. Kaiyuan Wu 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 3
3 2
4 0
5 4
6 0
7 2
8 2
9 6
10 1
11 15
12 45
13 65
14 32
15 55
16 8
17 15
18 8
19 40
20 32

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