Dandan Song

2.5k total citations · 2 hit papers
91 papers, 1.9k citations indexed

About

Dandan Song is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Dandan Song has authored 91 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 24 papers in Cancer Research and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Dandan Song's work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (9 papers) and Cardiac Ischemia and Reperfusion (6 papers). Dandan Song is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (9 papers) and Cardiac Ischemia and Reperfusion (6 papers). Dandan Song collaborates with scholars based in China, United States and Japan. Dandan Song's co-authors include Youyou Yan, Min Xiong, Jiaqi Tian, Zhen Chen, Lin Zhang, Tianqi Tao, Kun Xu, Yongkui Jing, Li Li and Xiuling Song and has published in prestigious journals such as PLoS ONE, Cancer Research and Analytical Biochemistry.

In The Last Decade

Dandan Song

89 papers receiving 1.9k citations

Hit Papers

Engineered Exosome for Drug Delivery: Recent Development ... 2023 2026 2024 2025 2023 2024 25 50 75 100

Peers

Dandan Song
Comparison fields: 5 of 141
  • Molecular Biology 1.1k
  • Cancer Research 336
  • Biomedical Engineering 290
  • Immunology 145
  • Epidemiology 129
Replace Chiuan-Chian Chiou with:
Chiuan-Chian Chiou Taiwan
Binsheng He China
Kai Jiang China
Xiaojun Wang China
Chao Liu China
Nannan Zhang China
Fei Gao China
Hongyi Li China
Jingrong Wang China
Chiuan-Chian Chiou Taiwan View profile →
Citations per field, relative to Dandan Song
Dandan Song · 1×
Citations per year, relative to Dandan Song
Dandan Song · 1×

Countries citing papers authored by Dandan Song

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Song. A scholar is included among the top collaborators of Dandan Song 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 Song. Dandan Song 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 3
2 2
3 4
4 1
5 23
6 55
7 5
8 7
9 18
10 10
11 2
12 6
13 31
14 33
15 1
16 17
17 28
18 66
19 12
20
Traditional Medicines Used in Differentiation Therapy of Myeloid Leukemia
4

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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