Bing Mei

670 citations
39 papers · 444 · h-index 11

Impact in

Papers in

    • Cervical Cancer and HPV Research 8
    • Hepatitis B Virus Studies 4
    • Immune Cell Function and Interaction 5
    • Reproductive System and Pregnancy 4
    • Immune Response and Inflammation 3
    • T-cell and B-cell Immunology 2

Bing Mei

36 papers receiving 439 citations

Peers

Bing Mei
Comparison fields: 5 of 90
  • Electronic, Optical and Magnetic Materials 79
  • Microbiology 23
  • Cancer Research 44
  • Immunology 58
  • Automotive Engineering 29
Replace Siying Zhu with:
Siying Zhu China
Chenhao Pan China
Miao Feng China
Keisuke Aoshima Japan
Ruowei Sun China
Xuan Ji China
Ansuja Pulickal Mathew South Korea
Jianliang Zhou China
Ziyi Yan China
Seung Hyun Shin South Korea
Bing Mei relative to Siying Zhu China Siying Zhu's profile →
Citations per field
00.5×7.7×
Siying Zhu · 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 2022159
2 201931
3 201830
4 201727
5 201820
6 200917
7 201115
8 200913
9 201613
10 202211
11 201210
12 202010
13 20238
14 20237
15 20197
16 20246
17 20206
18 20236
19 20226
20 20175

About Bing Mei

Bing Mei is a scholar working on Epidemiology, Immunology, Molecular Biology, Cancer Research and Surgery, having authored 39 papers that have together received 444 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), Immune Cell Function and Interaction (5 papers), Cancer-related molecular mechanisms research (5 papers), Hepatitis B Virus Studies (4 papers), Reproductive System and Pregnancy (4 papers), Bone Metabolism and Diseases (4 papers), Immune Response and Inflammation (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (79 citations), Microbiology (23 citations), Cancer Research (44 citations), Immunology (58 citations) and Automotive Engineering (29 citations). Bing Mei has collaborated with scholars based in China, Iraq and India. Frequent co-authors include Yutong Wu, Zhen Zhang, Decheng Zhao, Jinghui Ren, Xiang Liu, Zhoulu Wang, Xiangyu Xu, Fei Gao, Yi Zhang and Qingyang Huang. Their work appears in journals such as Virology Journal, Journal of Medical Virology, BMC Infectious Diseases, Infection Genetics and Evolution and Human Mutation.

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.

Explore authors with similar magnitude of impact