Mengzhen Dong

788 total citations
21 papers, 542 citations indexed

About

Mengzhen Dong is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Mengzhen Dong has authored 21 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 8 papers in Hepatology and 4 papers in Molecular Biology. Recurrent topics in Mengzhen Dong's work include Liver Disease Diagnosis and Treatment (12 papers), Diet, Metabolism, and Disease (4 papers) and Liver Disease and Transplantation (3 papers). Mengzhen Dong is often cited by papers focused on Liver Disease Diagnosis and Treatment (12 papers), Diet, Metabolism, and Disease (4 papers) and Liver Disease and Transplantation (3 papers). Mengzhen Dong collaborates with scholars based in China, Singapore and Saint Kitts and Nevis. Mengzhen Dong's co-authors include Yongning Xin, Likun Zhuang, Jie Tan, Xuefeng Ma, Shousheng Liu, Jie Zhang, Lizhen Chen, Shousheng Liu, Xuefeng Ma and Jie Zhang and has published in prestigious journals such as Advanced Functional Materials, Science Advances and Biomedicine & Pharmacotherapy.

In The Last Decade

Mengzhen Dong

19 papers receiving 530 citations

Peers

Mengzhen Dong
Comparison fields: 5 of 88
  • Epidemiology 210
  • Infectious Diseases 169
  • Molecular Biology 101
  • Neurology 80
  • Hepatology 77
Replace Qingjing Zhu with:
Qingjing Zhu China
Monika Pazgan−Simon Poland
Zhenwei Yang China
Alexander D Nardo Austria
Alfonso Amore Italy
Shanea K. Estes United States
Thomas Wiesel Germany
Annie M. Wu United States
Xiangrong Zuo China
Prasun K. Jalal United States
Qingjing Zhu China View profile →
Citations per field, relative to Mengzhen Dong
Mengzhen Dong · 1×
Citations per year, relative to Mengzhen Dong
Mengzhen Dong · 1×

Countries citing papers authored by Mengzhen Dong

Since Specialization
Citations

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

Fields of papers citing papers by Mengzhen Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengzhen Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Mengzhen Dong. A scholar is included among the top collaborators of Mengzhen 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 Mengzhen Dong. Mengzhen 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 8
3 6
4 4
5 3
6 18
7
A predictive model for the diagnosis of non-alcoholic fatty liver disease based on an integrated machine learning method.
8
8 2
9 28
10 54
11 6
12 32
13 182
14 105
15 40
16 18
17 3
18 0
19 2
20 22

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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