Dong Wei

1.0k total citations · 1 hit paper
25 papers, 535 citations indexed

About

Dong Wei is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Dong Wei has authored 25 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Infectious Diseases and 5 papers in Immunology. Recurrent topics in Dong Wei's work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (5 papers) and Respiratory viral infections research (4 papers). Dong Wei is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (5 papers) and Respiratory viral infections research (4 papers). Dong Wei collaborates with scholars based in China and France. Dong Wei's co-authors include Xinxin Zhang, Jieming Qu, Lingxi Guo, Min Zhou, Yurong Wu, Qing Yun Li, Xiaoqi Yu, Donghua Zhang, Mingjie Wang and Feng Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Genome biology.

In The Last Decade

Dong Wei

24 papers receiving 523 citations

Hit Papers

Clinical Features Predicting Mortality Risk in Patients W... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Dong Wei
Comparison fields: 5 of 82
  • Infectious Diseases 331
  • Epidemiology 133
  • Neurology 113
  • Molecular Biology 69
  • Oncology 67
Xingxiang Yang China
Pei Hua Lee Singapore
Negar Niki Alami United States
Jaap van Dissel Netherlands
Juan Esteban Gallo Colombia
David Morquin France
Xiaojian Cui China
Annalisa Mondi Italy
Bandar Alosaimi Saudi Arabia
Xingxiang Yang China View profile →
Citations per field, relative to Dong Wei
Dong Wei · 1×
Citations per year, relative to Dong Wei
Dong Wei · 1×

Countries citing papers authored by Dong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Dong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Wei. A scholar is included among the top collaborators of Dong Wei 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 Dong Wei. Dong Wei 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 2
3 2
4 7
5 1
6 1
7 2
8 28
9 8
10 10
11 17
12 20
13 4
14 6
15 20
16
Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score breakdown →
280
17 1
18 9
19 1
20 23

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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