Meili Dong

499 total citations
18 papers, 351 citations indexed

About

Meili Dong is a scholar working on Biomedical Engineering, Molecular Biology and Epidemiology. According to data from OpenAlex, Meili Dong has authored 18 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Meili Dong's work include Atmospheric chemistry and aerosols (3 papers), Atmospheric aerosols and clouds (3 papers) and Biosensors and Analytical Detection (3 papers). Meili Dong is often cited by papers focused on Atmospheric chemistry and aerosols (3 papers), Atmospheric aerosols and clouds (3 papers) and Biosensors and Analytical Detection (3 papers). Meili Dong collaborates with scholars based in China, Canada and France. Meili Dong's co-authors include Jiandong Wu, Claudio Rigatto, Francis Lin, Yong Liu, Yong Liu, Susy Santos, Xiaoming Gao, Weixiong Zhao, Changjin Hu and Weidong Chen and has published in prestigious journals such as Analytical Chemistry, Optics Express and Sensors.

In The Last Decade

Meili Dong

17 papers receiving 341 citations

Peers

Meili Dong
Comparison fields: 5 of 88
  • Biomedical Engineering 165
  • Molecular Biology 90
  • Atmospheric Science 74
  • Global and Planetary Change 51
  • Electrical and Electronic Engineering 50
Replace Frank Cikach with:
Frank Cikach United States
Elina Nepomnyashchaya Russia
K. Zayasu Japan
Ulrich Marggraf Germany
Mai Hu China
Konstantin A. Semyanov Russia
Yingxin Zhou China
Panpan Niu China
Yingying Qiao China
Frank Cikach United States View profile →
Citations per field, relative to Meili Dong
Meili Dong · 1×
Citations per year, relative to Meili Dong
Meili Dong · 1×

Countries citing papers authored by Meili Dong

Since Specialization
Citations

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

Fields of papers citing papers by Meili Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meili Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Meili Dong. A scholar is included among the top collaborators of Meili 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 Meili Dong. Meili Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 2
5 2
6 8
7 4
8 3
9
Correlations of Moesin expression with the pathological stage, nerve infiltration, tumor location and pain severity in patients with pancreatic cancer.
11
10 13
11 112
12 10
13 58
14 43
15
Application of graded management of high-alert medications in clinical nursing
0
16 39
17 2
18 41

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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