Dandan Wu

3.0k citations
33 papers · 2.3k indexed · 1 hit paper · h-index 19
Topics
Cancer-related molecular mechanisms research (6 papers)Genomics, phytochemicals, and oxidative stress (4 papers)MicroRNA in disease regulation (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONECancer Research
Partner nations
China

In The Last Decade

Dandan Wu

31 papers receiving 2.3k citations

Hit Papers

ROS and ROS‐Mediated Cellular Signaling2016202620192022201650010001.5k

Peers

Dandan Wu
Comparison fields: 5 of 130
  • Molecular Biology 1.2k
  • Cancer Research 427
  • Immunology 261
  • Epidemiology 184
  • Oncology 175
Replace Christine J. Weydert with:
Christine J. Weydert United States
Byeong‐Churl Jang South Korea
Mi‐Kyoung Kwak South Korea
Bo Yuan Japan
Min Ho Han South Korea
Emilia Kansanen Finland
Montserrat Rojo de la Vega United States
Salvador Mena Spain
Iok In Christine Chio United States
Pil‐Hoon Park South Korea
Dandan Wu relative to Christine J. Weydert United States Christine J. Weydert's profile →
Citations per field
00.5×1.5×2.2×
Christine J. Weydert · 1×
Citations per year

Countries citing papers authored by Dandan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Wu. A scholar is included among the top collaborators of Dandan Wu 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 Dandan Wu. Dandan Wu 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 2
3 7
4 22
5 12
6 34
7 15
8 19
9 33
10 92
11 20
12 37
13 28
14
ROS and ROS‐Mediated Cellular Signalingbreakdown →
1515
15 62
16 73
17 55
18 9
19 17
20 8

About Dandan Wu

Dandan Wu is a scholar working on Toxicology, Cancer Research and Biotechnology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (427 citations), Biochemistry (146 citations) and Toxicology (83 citations). Dandan Wu has collaborated with scholars based in China. Frequent co-authors include Weiguo Dong, Jixiang Zhang, Vikash Vikash, Qing Ye, Yulan Liu, Xiaoli Wang, Jingjing Ma, Shuo Chen, Yang Zhao and Jiao Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

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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