Jing‐Jun Nie

45 total papers · 1.3k total citations
42 papers, 1.1k citations indexed

About

Jing‐Jun Nie is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Jing‐Jun Nie has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 15 papers in Molecular Biology and 14 papers in Materials Chemistry. Recurrent topics in Jing‐Jun Nie's work include Nanoplatforms for cancer theranostics (11 papers), RNA Interference and Gene Delivery (9 papers) and Bone Tissue Engineering Materials (9 papers). Jing‐Jun Nie is often cited by papers focused on Nanoplatforms for cancer theranostics (11 papers), RNA Interference and Gene Delivery (9 papers) and Bone Tissue Engineering Materials (9 papers). Jing‐Jun Nie collaborates with scholars based in China, Hong Kong and Netherlands. Jing‐Jun Nie's co-authors include Fu‐Jian Xu, Bingran Yu, Dafu Chen, Renxian Wang, Xu Chen, Wenhan Xu, Hao Hu, Jacky W. Y. Lam, Dong Wang and Michelle M. S. Lee and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Jing‐Jun Nie

39 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jing‐Jun Nie 466 362 360 184 101 42 1.1k
Yulu Yang 657 1.4× 296 0.8× 194 0.5× 275 1.5× 101 1.0× 38 1.1k
Doudou Jing 633 1.4× 430 1.2× 379 1.1× 171 0.9× 85 0.8× 31 1.4k
Jian Liu 334 0.7× 284 0.8× 304 0.8× 258 1.4× 122 1.2× 56 1.3k
Jiawei Mei 589 1.3× 285 0.8× 400 1.1× 224 1.2× 106 1.0× 33 1.3k
Anna Guller 675 1.4× 429 1.2× 236 0.7× 280 1.5× 113 1.1× 49 1.3k
Huanhuan Luo 568 1.2× 256 0.7× 243 0.7× 333 1.8× 72 0.7× 34 995
Feng Liu 495 1.1× 165 0.5× 338 0.9× 151 0.8× 99 1.0× 43 1.3k
Luyao Sun 487 1.0× 366 1.0× 344 1.0× 305 1.7× 102 1.0× 58 1.4k
Boxuan Ma 688 1.5× 491 1.4× 322 0.9× 439 2.4× 87 0.9× 34 1.2k
Ce Shi 541 1.2× 483 1.3× 250 0.7× 240 1.3× 92 0.9× 38 1.4k

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-authorship network of co-authors of Jing‐Jun Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Jun Nie. A scholar is included among the top collaborators of Jing‐Jun Nie 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 Jing‐Jun Nie. Jing‐Jun Nie 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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