Bing Yan

47.8k total citations · 4 hit papers
490 papers, 17.9k citations indexed

About

Bing Yan is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Bing Yan has authored 490 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Molecular Biology, 137 papers in Materials Chemistry and 110 papers in Biomedical Engineering. Recurrent topics in Bing Yan's work include Nanoparticles: synthesis and applications (86 papers), Graphene and Nanomaterials Applications (38 papers) and Nanoparticle-Based Drug Delivery (34 papers). Bing Yan is often cited by papers focused on Nanoparticles: synthesis and applications (86 papers), Graphene and Nanomaterials Applications (38 papers) and Nanoparticle-Based Drug Delivery (34 papers). Bing Yan collaborates with scholars based in China, United States and Japan. Bing Yan's co-authors include Lingxin Chen, Yunqing Wang, Hongyu Zhou, Qingxin Mu, Bin Zhang, Guibin Jiang, Yuhong Bai, Gaoxing Su, Jianbo Jia and Xiaoxia Zhou and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Bing Yan

473 papers receiving 17.5k citations

Hit Papers

Molecular and serological investigat... 2012 2026 2016 2021 2020 2012 2014 2024 400 800 1.2k

Peers

Bing Yan
Comparison fields: 5 of 193
  • Materials Chemistry 5.4k
  • Molecular Biology 5.0k
  • Biomedical Engineering 4.5k
  • Biomaterials 1.8k
  • Electronic, Optical and Magnetic Materials 1.7k
Replace Vojtěch Adam with:
Vojtěch Adam Czechia
Myung‐Haing Cho South Korea
Huimin Zhang China
Ajeet Kaushik United States
Yufeng Li China
Rong Chen China
Bengt Fadeel Sweden
Meng Wang China
Liming Wang China
Dan Liu China
Vojtěch Adam Czechia View profile →
Citations per field, relative to Bing Yan
Bing Yan · 1×
Citations per year, relative to Bing Yan
Bing Yan · 1×

Countries citing papers authored by Bing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Yan. A scholar is included among the top collaborators of Bing Yan 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 Bing Yan. Bing Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 2
4 0
5 5
6 13
7 12
8 29
9 15
10 50
11 25
12 2
13 48
14 35
15 14
16 11
17 24
18 56
19
Molecular and serological investigation of 2019-nCoV infected patients: implication of multiple shedding routes breakdown →
1262
20 24

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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