Bing Yan

783 citations
42 papers · 622 · h-index 13

Impact in

Papers in

    • Insect Resistance and Genetics 8
    • Advanced biosensing and bioanalysis techniques 5
    • RNA and protein synthesis mechanisms 5
    • RNA Interference and Gene Delivery 4
    • Bacterial Genetics and Biotechnology 5

Bing Yan

37 papers receiving 619 citations

Peers

Bing Yan
Comparison fields: 5 of 99
  • Molecular Medicine 30
  • Insect Science 76
  • Molecular Biology 350
  • Immunology 68
  • Endocrinology 15
Replace Weihong Sun with:
Weihong Sun China
Junyan Zhang China
Rashmi Gupta India
Juan He China
Yihan Zhang China
Miriam Fine United States
David L. Cheo United States
Qinghua Zhang China
Bing Yan relative to Weihong Sun China Weihong Sun's profile →
Citations per field
00.5×6.9×
Weihong Sun · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bing Yan, 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 Yan Line = papers co-authored together Bing Yan 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 2014142
2 201864
3 201761
4 201459
5 202035
6 201430
7 202121
8 201521
9 201021
10 200821
11 200918
12 201517
13 202213
14 202012
15 20208
16 20098
17 20067
18 20197
19 20226
20 20136

About Bing Yan

Bing Yan is a scholar working on Molecular Biology, Genetics, Insect Science, Ecology and Oncology, having authored 42 papers that have together received 622 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (8 papers), Bacterial Genetics and Biotechnology (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA and protein synthesis mechanisms (5 papers), Entomopathogenic Microorganisms in Pest Control (4 papers), RNA Interference and Gene Delivery (4 papers), Insect and Pesticide Research (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Molecular Medicine (30 citations), Insect Science (76 citations), Molecular Biology (350 citations), Immunology (68 citations) and Endocrinology (15 citations). Bing Yan has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Dengwen Li, Songbo Xie, Miao Chen, Xiwen Chen, Xianfei He, Jun Cai, Jian Han, Jun Zhou, Zhanglei Cao and Xiaoyue Hou. Their work appears in journals such as Protein & Cell, Pest Management Science, Toxins, Enzyme and Microbial Technology and The Journal of General and Applied Microbiology.

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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