Jing‐Jun Nie

1.3k citations
42 papers · 1.1k · h-index 20

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications
    • Nanoplatforms for cancer theranostics
    • Bone Tissue Engineering Materials

Papers in

    • Nanoplatforms for cancer theranostics 11
    • Bone Tissue Engineering Materials 9
    • RNA Interference and Gene Delivery 9
    • Advanced biosensing and bioanalysis techniques 4

Jing‐Jun Nie

40 papers receiving 1.1k citations

Peers

Jing‐Jun Nie
Comparison fields: 5 of 101
  • Biomaterials 189
  • Biomedical Engineering 473
  • Materials Chemistry 364
  • Molecular Biology 364
  • Cancer Research 67
Replace Weizhi Chen with:
Weizhi Chen China
Sanjoy Samanta India
Dayun Yang China
Minhee Ku South Korea
Na Fu China
Laure Gibot France
Longpo Zheng China
Lu Shi China
Francesca Pagliari Italy
Duhwan Lee South Korea
Jing‐Jun Nie relative to Weizhi Chen China Weizhi Chen's profile →
Citations per field
00.5×1.6×
Weizhi Chen · 1×
Citations per year

Countries citing papers authored by Jing‐Jun Nie

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Jun Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Jun Nie. 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 Jing‐Jun Nie. The network helps show where Jing‐Jun Nie may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020171
2 201890
3 202288
4 202260
5 201654
6 202050
7 201943
8 201442
9 202238
10 202236
11 202035
12 202431
13 202229
14 202128
15 201928
16 201628
17 202022
18 202420
19 202320
20 201919

About Jing‐Jun Nie

Jing‐Jun Nie is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Biomaterials and Surgery, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (11 papers), Bone Tissue Engineering Materials (9 papers), RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (4 papers), Orthopaedic implants and arthroplasty (4 papers), Titanium Alloys Microstructure and Properties (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Biomaterials (189 citations), Biomedical Engineering (473 citations), Materials Chemistry (364 citations), Molecular Biology (364 citations) and Cancer Research (67 citations). Jing‐Jun Nie has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fu‐Jian Xu, Bingran Yu, Dafu Chen, Renxian Wang, Xu Chen, Jacky W. Y. Lam, Dong Wang, Ryan T. K. Kwok, Zhihan Zhang and Wenhan Xu. Their work appears in journals such as Bioactive Materials, ACS Applied Materials & Interfaces, Journal of Controlled Release, Chemical Engineering Journal and Journal of Material Science and Technology.

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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