Ying Song

1.4k citations
28 papers · 481 indexed · h-index 14
Topics
MicroRNA in disease regulation (4 papers)Cellular Mechanics and Interactions (3 papers)Cancer-related molecular mechanisms research (3 papers)
Journals
SHILAP Revista de lepidopterologíaThe FASEB JournalBritish Journal of Cancer
Partner nations
ChinaUnited States

In The Last Decade

Ying Song

26 papers receiving 477 citations

Peers

Ying Song
Comparison fields: 5 of 77
  • Molecular Biology 303
  • Cancer Research 122
  • Oncology 121
  • Immunology 70
  • Epidemiology 50
Replace Davide Vecchiotti with:
Davide Vecchiotti Italy
Liza J. Burton United States
Linlin Sun China
Bu‐Nam Jeon South Korea
Qichao Xie China
Yan Zou China
Sabrina Leverrier France
Zheng Xu China
Catherine Chang Australia
Yibiao Chen China
Ying Song relative to Davide Vecchiotti Italy Davide Vecchiotti's profile →
Citations per field
00.5×1.5×
Davide Vecchiotti · 1×
Citations per year

Countries citing papers authored by Ying Song

Since Specialization
Citations

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

Fields of papers citing papers by Ying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Song. A scholar is included among the top collaborators of Ying 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 Ying Song. Ying 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 0
2 0
3 2
4 4
5 1
6 51
7 11
8 20
9 24
10 20
11 5
12 32
13 67
14 19
15 21
16 9
17 19
18 8
19
[Effect of hypoxia inducible factor-1 alpha on vascular endothelial growth factor expression in human tongue squamous carcinoma cells (Tca8113) under hypoxia].
2
20 56

About Ying Song

Ying Song is a scholar working on Cancer Research, Immunology and Allergy and Microbiology, having authored 28 papers that have together received 481 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cellular Mechanics and Interactions (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (122 citations), Oncology (121 citations) and Molecular Biology (303 citations). Ying Song has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoxin Wang, Chengyu Liang, Christine Quach, Jun Guo, Qinli Ruan, Daiming Fan, Changcun Guo, Tao Lin, Jie Ding and Lijun Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, The FASEB Journal and British Journal of Cancer.

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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