Dandan Song

1.1k citations
33 papers · 843 indexed · h-index 16
Topics
MicroRNA in disease regulation (6 papers)Circular RNAs in diseases (5 papers)Pharmacological Effects of Natural Compounds (3 papers)
Partner nations
ChinaJapanIreland

In The Last Decade

Dandan Song

31 papers receiving 839 citations

Peers

Dandan Song
Comparison fields: 5 of 94
  • Molecular Biology 390
  • Epidemiology 187
  • Neurology 171
  • Cancer Research 144
  • Immunology 113
Replace Macarena Hernández‐Jiménez with:
Macarena Hernández‐Jiménez Spain
Ziping Han China
Jingrui Pan China
Wensheng Qu China
Weipeng Hu China
Hangzhe Xu China
Philipp S. Lange Germany
Yun‐Hui Chu China
Nathanael Matei United States
Zongduo Guo China
Dandan Song relative to Macarena Hernández‐Jiménez Spain Macarena Hernández‐Jiménez's profile →
Citations per field
00.5×1.5×2.3×
Macarena Hernández‐Jiménez · 1×
Citations per year

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
#WorkIndexed citations
1
H2S signal enhances storage globulin hydrolysis, embryo supercooling and freezing tolerance of hydrated brassica (Brassica oleracea) seeds.
1
2 0
3 1
4 14
5 1
6 47
7 91
8 22
9 16
10 8
11 50
12 51
13 43
14 48
15 33
16 1
17 6
18 7
19 92
20 161

About Dandan Song

Dandan Song is a scholar working on Developmental Neuroscience, Cancer Research and Physiology, having authored 33 papers that have together received 843 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Neurology (171 citations), Developmental Neuroscience (51 citations) and Cancer Research (144 citations). Dandan Song has collaborated with scholars based in China, Japan and Ireland. Frequent co-authors include Seiji Shioda, Hirokazu Ohtaki, Rui Sheng, Zheng‐Hong Qin, Tong-Tong Zhang, Kazuyuki Miyamoto, Tohru Aruga, Kenji Dohi, Kazue Satoh and Tomoya Nakamachi. Their work appears in journals such as Molecular Cell, Scientific Reports and Biochemical Pharmacology.

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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