Bin Chu

941 citations
63 papers · 740 · h-index 15

Impact in

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

Papers in

    • Electrospun Nanofibers in Biomedical Applications 11
    • Silk-based biomaterials and applications 9
    • Multiple Myeloma Research and Treatments 16

Bin Chu

56 papers receiving 724 citations

Peers

Bin Chu
Comparison fields: 5 of 110
  • Biomaterials 271
  • Rehabilitation 128
  • Molecular Medicine 62
  • Hematology 52
  • Biomedical Engineering 181
Replace Dongwei Wu with:
Dongwei Wu China
Mark Boon Yang Tang Singapore
Haofang Zhu China
Raminder Singh Germany
Qisheng Gu China
Bernard Delaey Belgium
Federica Riva Italy
Yi Kong China
Yufan Zhu China
Bin Chu relative to Dongwei Wu China Dongwei Wu's profile →
Citations per field
00.5×1.5×2.4×
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999130
2 201554
3 201247
4 202045
5 201641
6 202140
7 201635
8 201933
9 202131
10 201329
11 201319
12 201017
13 200516
14 201815
15 198015
16 202314
17 202011
18 202011
19 201411
20 202010

About Bin Chu

Bin Chu is a scholar working on Biomaterials, Hematology, Molecular Biology, Oncology and Biomedical Engineering, having authored 63 papers that have together received 740 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Electrospun Nanofibers in Biomedical Applications (11 papers), Silk-based biomaterials and applications (9 papers), Wound Healing and Treatments (6 papers), Protein Degradation and Inhibitors (5 papers), Hydrogels: synthesis, properties, applications (5 papers), Peptidase Inhibition and Analysis (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Biomaterials (271 citations), Rehabilitation (128 citations), Molecular Medicine (62 citations), Hematology (52 citations) and Biomedical Engineering (181 citations). Bin Chu has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Chaoxi Wu, Shunqing Tang, Zhong Zheng, Jie Pan, Sai‐Wah Tsao, Changsheng Chen, Yifei Wang, Jinmei He, Mei Tu and Xiaoli Li. Their work appears in journals such as Reactive and Functional Polymers, Biomedical Materials, JNCI Journal of the National Cancer Institute, Carbohydrate Polymers and Materials Science and Engineering C.

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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