Bin Chu

896 citations
60 papers · 724 · h-index 14

Impact in

    • Wound Healing and Treatments
    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications

Papers in

    • Electrospun Nanofibers in Biomedical Applications 10
    • Silk-based biomaterials and applications 9
    • Multiple Myeloma Research and Treatments 15

Bin Chu

54 papers receiving 710 citations

Peers

Bin Chu
Comparison fields: 5 of 104
  • Rehabilitation 128
  • Biomaterials 263
  • Molecular Medicine 56
  • Hematology 53
  • Urology 21
Replace Dongwei Wu with:
Dongwei Wu China
Bernard Delaey Belgium
Motoaki HANZAWA Japan
Mark Boon Yang Tang Singapore
Yi Kong China
Xiang Lin China
Anna Michopoulou Greece
Rabia Zeeshan Pakistan
Iliyana Pepelanova Germany
Bin Chu relative to Dongwei Wu China Dongwei Wu's profile →
Citations per field
00.5×1.5×2.2×
Dongwei Wu · 1×
Citations per year

Countries citing papers authored by Bin Chu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Chu, 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 Bin Chu Line = papers co-authored together Bin Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999136
2 201560
3 202048
4 202143
5 201642
6 201639
7 202134
8 201934
9 201330
10 201319
11 201018
12 201817
13 200516
14 202315
15 202013
16 202011
17 201411
18 202011
19 202010
20 202310

About Bin Chu

Bin Chu is a scholar working on Biomaterials, Hematology, Biomedical Engineering, Surgery and Rehabilitation, having authored 60 papers that have together received 724 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Silk-based biomaterials and applications (9 papers), Wound Healing and Treatments (6 papers), Hydrogels: synthesis, properties, applications (4 papers), Wildlife Ecology and Conservation (3 papers), Bone Tissue Engineering Materials (3 papers) and Orthopaedic implants and arthroplasty (3 papers). The work is most often cited by research in Rehabilitation (128 citations), Biomaterials (263 citations), Molecular Medicine (56 citations), Hematology (53 citations) and Urology (21 citations). Bin Chu has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Chaoxi Wu, Shunqing Tang, Zhong Zheng, Yong‐Chuan Wong, Sai‐Wah Tsao, Jie Pan, Changsheng Chen, Yifei Wang, Jinmei He and Mei Tu. Their work appears in journals such as Reactive and Functional Polymers, Frontiers in Oncology, Materials Science and Engineering C, Cancer Medicine and ACS Nano.

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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