Mei Dong

1.5k total citations
49 papers, 1.1k citations indexed

About

Mei Dong is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Mei Dong has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 13 papers in Public Health, Environmental and Occupational Health and 10 papers in Reproductive Medicine. Recurrent topics in Mei Dong's work include Reproductive Biology and Fertility (10 papers), Ovarian function and disorders (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Mei Dong is often cited by papers focused on Reproductive Biology and Fertility (10 papers), Ovarian function and disorders (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Mei Dong collaborates with scholars based in China, United States and Hong Kong. Mei Dong's co-authors include Christopher J. de Souza, Didier Laurent, Karen Gagen, Wei Chen, Bryan F. Burkey, Tong Liu, Huixia Lu, Jianmin Yang, Cheng Zhang and Yun Zhang and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.

In The Last Decade

Mei Dong

46 papers receiving 1.1k citations

Peers

Mei Dong
Comparison fields: 5 of 111
  • Physiology 340
  • Molecular Biology 317
  • Epidemiology 256
  • Cardiology and Cardiovascular Medicine 222
  • Surgery 138
Replace Meixiao Sheng with:
Meixiao Sheng China
Grażyna Sypniewska Poland
Dorota Formanowicz Poland
Min-Tser Liao Taiwan
Sarah M. Weakley United States
Serkan Tapan Türkiye
Erdinç Çakır Türkiye
Weiqiong Gu China
Yaeni Kim South Korea
Meixiao Sheng China 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 0
2 0
3 1
4 4
5 6
6 20
7
Serum 14-3-3η Could Improve the Diagnostic Rate of Rheumatoid Arthritis and Correlates to Disease Activity.
16
8 7
9 45
10 29
11 18
12 13
13 56
14 12
15 21
16 21
17 1
18 9
19 178
20 76

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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