Mei Dong

804 total citations
22 papers, 613 citations indexed

About

Mei Dong is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Mei Dong has authored 22 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 7 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Mei Dong's work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (6 papers) and Biochemical and Molecular Research (5 papers). Mei Dong is often cited by papers focused on Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (6 papers) and Biochemical and Molecular Research (5 papers). Mei Dong collaborates with scholars based in China, Australia and Czechia. Mei Dong's co-authors include Di Wang, Xiaoxing Cheng, Zhihong Cao, Linhai Li, Qingjun Ma, Ping Li, Yuling Shi, Yourong Yang, Jian‐Guo Wang and Yuankai Shi and has published in prestigious journals such as Clinical Cancer Research, Journal of Clinical Microbiology and Clinica Chimica Acta.

In The Last Decade

Mei Dong

22 papers receiving 602 citations

Peers

Mei Dong
Comparison fields: 5 of 89
  • Infectious Diseases 330
  • Molecular Biology 229
  • Epidemiology 199
  • Immunology 120
  • Organic Chemistry 82
Replace Jackelyn Murray with:
Jackelyn Murray United States
Nuno S. Osório Portugal
Xuanyong Lu United States
Norimitsu Hariguchi Japan
Lee A. Henderson United States
Chirag Dhar United States
Tatsuya Nishi Japan
Zhiping Sun China
Satoshi Yuasa Japan
Jackelyn Murray United States View profile →
Citations per field, relative to Mei Dong
Mei Dong · 1×
Citations per year, relative to Mei Dong
Mei Dong · 1×

Countries citing papers authored by Mei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Mei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Dong. A scholar is included among the top collaborators of Mei Dong 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 Mei Dong. Mei Dong 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 9
3 55
4 7
5 87
6 7
7 40
8 24
9 18
10 13
11 7
12 41
13
In vitro efficacy of acetohydroxyacid synthase inhibitors against clinical strains of Mycobacterium tuberculosis isolated from a hospital in Beijing, China.
9
14 31
15 40
16 43
17 39
18 17
19
The Pathogenesis of Multiple Sclerosis
2
20 91

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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