Kaiyue Wu

21 total papers · 854 total citations
19 papers, 613 citations indexed

About

Kaiyue Wu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kaiyue Wu has authored 19 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kaiyue Wu's work include Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Plasma Applications and Diagnostics (3 papers) and Plasma Diagnostics and Applications (3 papers). Kaiyue Wu is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Plasma Applications and Diagnostics (3 papers) and Plasma Diagnostics and Applications (3 papers). Kaiyue Wu collaborates with scholars based in China, Japan and Israel. Kaiyue Wu's co-authors include Peihua Ni, Xiaoyan Li, Xiangliang Yuan, Dakang Xu, Zhen Zhu, Jianping Ye, Yanhong Xu, Shuang Shen, Shiqiao Peng and Xiaoying Zhang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Kaiyue Wu

17 papers receiving 604 citations

Hit Papers

Redefining Tumor-Associat... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kaiyue Wu 311 279 176 106 102 19 613
Jieqiong Zhang 253 0.8× 260 0.9× 178 1.0× 105 1.0× 69 0.7× 18 544
Yuheng Yan 164 0.5× 214 0.8× 211 1.2× 124 1.2× 75 0.7× 15 556
Kahsai Beraki 251 0.8× 194 0.7× 231 1.3× 81 0.8× 112 1.1× 20 566
Kelsey S. Williams 196 0.6× 295 1.1× 137 0.8× 165 1.6× 63 0.6× 15 570
М. Р. Патышева 295 0.9× 228 0.8× 188 1.1× 104 1.0× 60 0.6× 30 517
Carly Bess Scalise 255 0.8× 294 1.1× 269 1.5× 130 1.2× 69 0.7× 32 668
Kuntal Kanti Goswami 343 1.1× 250 0.9× 202 1.1× 93 0.9× 53 0.5× 16 616
Sarbari Ghosh 307 1.0× 232 0.8× 246 1.4× 83 0.8× 52 0.5× 20 633
Jiuyang Liu 218 0.7× 244 0.9× 224 1.3× 140 1.3× 113 1.1× 17 661
Sonia H.Y. Kung 198 0.6× 274 1.0× 232 1.3× 139 1.3× 159 1.6× 22 604

Countries citing papers authored by Kaiyue Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyue Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyue Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyue Wu. A scholar is included among the top collaborators of Kaiyue 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 Kaiyue Wu. Kaiyue Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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