Bing Mei

693 citations
39 papers · 470 · h-index 11

Impact in

Papers in

    • Cervical Cancer and HPV Research 7
    • Hepatitis B Virus Studies 3
    • Liver Disease Diagnosis and Treatment 2
    • Bone Metabolism and Diseases 4

Bing Mei

36 papers receiving 466 citations

Peers

Bing Mei
Comparison fields: 5 of 87
  • Electronic, Optical and Magnetic Materials 82
  • Microbiology 19
  • Cancer Research 40
  • Immunology 56
  • Automotive Engineering 31
Replace Fangfang Sun with:
Fangfang Sun China
Siying Zhu China
Chenhao Pan China
Volodymyr Vovk Ukraine
Antonio Liga United Kingdom
Xuan Ji China
Mintao Xue China
Yangheng Zhang China
Mengzhen Zhang China
Shaw‐Ruey Lyu Taiwan
Bing Mei relative to Fangfang Sun China Fangfang Sun's profile →
Citations per field
00.5×4.8×
Fangfang Sun · 1×
Citations per year

Countries citing papers authored by Bing Mei

Since Specialization
Citations

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

Fields of papers citing papers by Bing Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022171
2 201931
3 201831
4 201728
5 201820
6 200917
7 201115
8 201613
9 200913
10 202012
11 202211
12 201210
13 20238
14 20238
15 20228
16 20198
17 20207
18 20237
19 20246
20 20236

About Bing Mei

Bing Mei is a scholar working on Epidemiology, Molecular Biology, Immunology, Cancer Research and Mechanical Engineering, having authored 39 papers that have together received 470 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (7 papers), Bone Metabolism and Diseases (4 papers), Hepatitis B Virus Studies (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Reproductive System and Pregnancy (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (82 citations), Microbiology (19 citations), Cancer Research (40 citations), Immunology (56 citations) and Automotive Engineering (31 citations). Bing Mei has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Xiang Liu, Yutong Wu, Zhoulu Wang, Xiangyu Xu, Yi Zhang, Jinghui Ren, Fei Gao, Zhen Zhang, Decheng Zhao and Qingyang Huang. Their work appears in journals such as Journal of Medical Virology, Virology Journal, BMC Infectious Diseases, Human Mutation and Infection Genetics and Evolution.

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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