Dong Dong

6.9k citations
223 papers · 3.5k indexed · 1 hit paper · h-index 32
Topics
Health Systems, Economic Evaluations, Quality of Life (22 papers)Pharmacogenetics and Drug Metabolism (10 papers)Health Literacy and Information Accessibility (10 papers)

In The Last Decade

Dong Dong

203 papers receiving 3.4k citations

Hit Papers

Change of Willingness to Accept COVID-19 Vaccine and Reas...2021202620222024202150100150

Peers

Dong Dong
Comparison fields: 5 of 190
  • Molecular Biology 937
  • Health 445
  • Infectious Diseases 386
  • Economics and Econometrics 297
  • Cancer Research 284
Replace Stefania Boccia with:
Stefania Boccia Italy
Chiranjib Chakraborty India
Yong Zhang China
C. W. M. Whitty United Kingdom
Robert P. Dellavalle United States
Harunor Rashid Australia
Yot Teerawattananon Thailand
Qian Li China
Jatinder Singh India
Margaret Hamburg United States
Dong Dong relative to Stefania Boccia Italy Stefania Boccia's profile →
Citations per field
00.5×1.5×
Stefania Boccia · 1×
Citations per year

Countries citing papers authored by Dong Dong

Since Specialization
Citations

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

Fields of papers citing papers by Dong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Dong. A scholar is included among the top collaborators of Dong 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 Dong Dong. Dong 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 3
6 2
7 1
8 1
9 5
10 0
11 9
12 7
13 6
14 5
15
The Damage Characteristics of Landscape Afforestation Trees Due to Unusually Heavy Snow in Huainan City
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16 16
17 46
18 83
19 7
20 51

About Dong Dong

Dong Dong is a scholar working on Health, Pharmacology and General Health Professions, having authored 223 papers that have together received 3.5k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (22 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Health Literacy and Information Accessibility (10 papers). The work is most often cited by research in Health (445 citations), Modeling and Simulation (173 citations) and Pharmacology (233 citations). Dong Dong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Baojian Wu, Eliza Lai‐Yi Wong, Shuyi Zhang, Eng‐Kiong Yeoh, Samuel Yeung Shan Wong, Richard Huan Xu, Roger Yat‐Nork Chung, Kailu Wang, Gareth Jones and Kin‐Fai Ho. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Neuron.

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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