Shujuan Song

550 citations
29 papers · 401 indexed · h-index 11
Topics
dental development and anomalies (5 papers)Oral and Maxillofacial Pathology (5 papers)Hereditary Neurological Disorders (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Shujuan Song

27 papers receiving 390 citations

Peers

Shujuan Song
Comparison fields: 5 of 67
  • Molecular Biology 308
  • Oral Surgery 166
  • Genetics 135
  • Endocrinology 41
  • Rheumatology 37
Replace Stanton H. Hall with:
Stanton H. Hall United States
Kazuhiro Ichikawa Japan
Xia‐Juan Xia United States
X Y Wang China
Sang‐Seob Lee South Korea
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Shujuan Song relative to Stanton H. Hall United States Stanton H. Hall's profile →
Citations per field
00.5×10×15×20.5×
Stanton H. Hall · 1×
Citations per year

Countries citing papers authored by Shujuan Song

Since Specialization
Citations

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

Fields of papers citing papers by Shujuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujuan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shujuan Song. A scholar is included among the top collaborators of Shujuan 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 Shujuan Song. Shujuan 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 4
2 0
3 19
4 0
5 18
6 14
7 7
8
[Duchenne and Becker muscular dystrophy complicated with epilepsy].
2
9 72
10 56
11 16
12 36
13 76
14 1
15 14
16
[PAX6 mutation caused brain abnormalities in humans].
3
17
Mutation analysis of PAX6 gene in a large Chinese family with aniridia.
8
18
[Laminopathies--one gene, multiple diseases].
2
19 11
20
Rapid Code Acquisition for High Dynamic DSSS Receiver
1

About Shujuan Song

Shujuan Song is a scholar working on Oral Surgery, Endocrinology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 401 indexed citations. Recurring topics across this work include dental development and anomalies (5 papers), Oral and Maxillofacial Pathology (5 papers) and Hereditary Neurological Disorders (4 papers). The work is most often cited by research in Oral Surgery (166 citations), Endocrinology (41 citations) and Genetics (135 citations). Shujuan Song has collaborated with scholars based in China and United States. Frequent co-authors include Hailan Feng, Dong Han, Huiying He, Jin Zhang, Hong Qu, Ruiying Zhao, Ming Yan, Xiaoxia Zhang, Hua Wu and Zhenting Zhang. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

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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