Bolin Wu

817 citations
40 papers · 568 · h-index 15

Impact in

Papers in

Bolin Wu

38 papers receiving 563 citations

Peers

Bolin Wu
Comparison fields: 5 of 84
  • Cancer Research 146
  • Biomaterials 60
  • Biomedical Engineering 146
  • Molecular Biology 218
  • Computational Theory and Mathematics 53
Replace Carmen Ruiz Velasco with:
Carmen Ruiz Velasco United States
Meher Majety Germany
Shike Wang China
JungHo Kong South Korea
Xu-Dong Tang China
Andrew B. Sholl United States
Delia Alvarez United States
Minh Nguyen United States
Aline Roch Switzerland
Bolin Wu relative to Carmen Ruiz Velasco United States Carmen Ruiz Velasco's profile →
Citations per field
00.5×5×10×15×17.7×
Carmen Ruiz Velasco · 1×
Citations per year

Countries citing papers authored by Bolin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bolin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bolin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bolin Wu Line = papers co-authored together Bolin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 201658
3 201755
4 202034
5 201633
6 201430
7 202123
8 201922
9 201422
10 202020
11 202219
12 202016
13 202416
14 202316
15 201914
16 202312
17 202311
18 201811
19 20229
20 20228

About Bolin Wu

Bolin Wu is a scholar working on Biomedical Engineering, Molecular Biology, Cancer Research, Oncology and Biomaterials, having authored 40 papers that have together received 568 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (10 papers), Nanoplatforms for cancer theranostics (7 papers), Photoacoustic and Ultrasonic Imaging (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Cancer Research (146 citations), Biomaterials (60 citations), Biomedical Engineering (146 citations), Molecular Biology (218 citations) and Computational Theory and Mathematics (53 citations). Bolin Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Wen Cheng, Hui Jing, Gary G. Yen, Wang Hu, Junjie Hu, Xue Han, Yichi Chen, Shouqiang Li, Jiawei Tian and Shouping Xu. Their work appears in journals such as International Journal of Nanomedicine, Drug Delivery, Journal of Nanobiotechnology, Frontiers in Molecular Biosciences and The FASEB Journal.

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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