Tieying Song

785 citations
32 papers · 572 indexed · h-index 15
Topics
Pain Mechanisms and Treatments (9 papers)Animal Virus Infections Studies (5 papers)Aquaculture disease management and microbiota (4 papers)
Partner nations
ChinaSwedenUnited States

In The Last Decade

Tieying Song

32 papers receiving 554 citations

Peers

Tieying Song
Comparison fields: 5 of 99
  • Molecular Biology 123
  • Animal Science and Zoology 80
  • Ecology, Evolution, Behavior and Systematics 72
  • Biomedical Engineering 68
  • Ecology 64
Replace Sunhwa Hong with:
Sunhwa Hong South Korea
Xiao‐Lin Wu United States
Xiaofeng Zhang China
Donglei Sun China
Yi Tian China
P. C. Thomas United Kingdom
G. Willems Belgium
Jakob Sehested Denmark
Ajai K. Tripathi India
Tieying Song relative to Sunhwa Hong South Korea Sunhwa Hong's profile →
Citations per field
00.5×3.8×
Sunhwa Hong · 1×
Citations per year

Countries citing papers authored by Tieying Song

Since Specialization
Citations

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

Fields of papers citing papers by Tieying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tieying Song

This figure shows the co-authorship network connecting the top 25 collaborators of Tieying Song. A scholar is included among the top collaborators of Tieying 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 Tieying Song. Tieying 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 1
2 2
3 29
4 6
5 2
6 23
7 44
8 15
9 18
10 7
11 7
12 8
13
Comparison of two different sevoflurane expelling methods on emergence agitation in infants following sevoflurane anesthesia.
3
14 10
15 20
16 37
17 24
18 1
19 109
20 45

About Tieying Song

Tieying Song is a scholar working on Developmental Neuroscience, Equine and Animal Science and Zoology, having authored 32 papers that have together received 572 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Animal Virus Infections Studies (5 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Animal Science and Zoology (80 citations), Environmental Chemistry (64 citations) and Equine (9 citations). Tieying Song has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Weiwen Zheng, Ulla Rasmussen, Torsten Eriksson, Zaiwang Zhang, Wenli Wang, Jun Tian, Jun Ge, Jinxian Yang, Xi Chen and Birgitta Bergman. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and FEMS Microbiology Ecology.

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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