Bing He

6.4k citations
141 papers · 5.3k · h-index 43

Impact in

Papers in

    • RNA Interference and Gene Delivery 28
    • Lipid Membrane Structure and Behavior 11
    • Advanced biosensing and bioanalysis techniques 10
    • Nanoparticle-Based Drug Delivery 50

Bing He

137 papers receiving 5.3k citations

Peers

Bing He
Comparison fields: 5 of 140
  • Biomaterials 2.0k
  • Pharmaceutical Science 692
  • Biomedical Engineering 1.8k
  • Molecular Medicine 175
  • Molecular Biology 2.2k
Replace Wenbing Dai with:
Wenbing Dai China
Laiqiang Huang China
Xianyi Sha China
Wan-Liang Lü China
Zhonggao Gao China
Silvia Arpicco Italy
Xuan Zhang China
Shyh‐Dar Li Canada
Yu Gao China
Lesheng Teng China
Bing He relative to Wenbing Dai China Wenbing Dai's profile →
Citations per field
00.5×1.5×
Wenbing Dai · 1×
Citations per year

Countries citing papers authored by Bing He

Since Specialization
Citations

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

Fields of papers citing papers by Bing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017279
2 2013194
3 2013177
4 2020165
5 2019148
6 2016138
7 2016127
8 2012126
9 2017119
10 2015116
11 2013109
12 2015108
13 2013105
14 2018105
15 2014101
16 201388
17 201487
18 201483
19 201579
20 201477

About Bing He

Bing He is a scholar working on Molecular Biology, Biomaterials, Biomedical Engineering, Oncology and Pulmonary and Respiratory Medicine, having authored 141 papers that have together received 5.3k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (50 papers), RNA Interference and Gene Delivery (28 papers), Nanoplatforms for cancer theranostics (25 papers), Cell Adhesion Molecules Research (11 papers), Lipid Membrane Structure and Behavior (11 papers), Dendrimers and Hyperbranched Polymers (10 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Advanced Drug Delivery Systems (9 papers). The work is most often cited by research in Biomaterials (2.0k citations), Pharmaceutical Science (692 citations), Biomedical Engineering (1.8k citations), Molecular Medicine (175 citations) and Molecular Biology (2.2k citations). Bing He has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xueqing Wang, Wenbing Dai, Qiang Zhang, Hua Zhang, Jiancheng Wang, Binlong Chen, Xuan Zhang, Lan Yuan, Yiguang Wang and Hailiang Deng. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Molecular Pharmaceutics, Acta Pharmaceutica Sinica B 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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