Dong Dong

1.3k total citations · 1 hit paper
35 papers, 912 citations indexed

About

Dong Dong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Dong Dong has authored 35 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Dong Dong's work include Cancer Cells and Metastasis (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (5 papers). Dong Dong is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (5 papers). Dong Dong collaborates with scholars based in China, Canada and South Korea. Dong Dong's co-authors include Yunli Zhou, Yan Guo, Fupin Hu, Shi Wu, Yonggui Zheng, Dandan Yin, Renru Han, Qingyu Shi, Rong Zhang and Lufang Zhang and has published in prestigious journals such as Hepatology, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Dong Dong

34 papers receiving 902 citations

Hit Papers

Dissemination of Carbapenemases (KPC, NDM, OXA-48, IMP, a... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Dong Dong
Comparison fields: 5 of 90
  • Molecular Biology 451
  • Cancer Research 292
  • Molecular Medicine 241
  • Oncology 140
  • Epidemiology 106
Replace Miran Seo with:
Miran Seo South Korea
Mehdi Azad Iran
Chuxiao Shao China
Sifeng Qu China
Hiroyuki Yamazaki Japan
Yan Xia China
Shilin Xia China
John Breton United States
Miran Seo South Korea View profile →
Citations per field, relative to Dong Dong
Dong Dong · 1×
Citations per year, relative to Dong Dong
Dong Dong · 1×

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
# Work Indexed citations
1 2
2 0
3 5
4 8
5 19
6 70
7 4
8 7
9 43
10 28
11 9
12 17
13
Dissemination of Carbapenemases (KPC, NDM, OXA-48, IMP, and VIM) Among Carbapenem-Resistant Enterobacteriaceae Isolated From Adult and Children Patients in China breakdown →
246
14 22
15 16
16 28
17 7
18 19
19 25
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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