Shaoyan Chang

564 total citations
31 papers, 443 citations indexed

About

Shaoyan Chang is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, Shaoyan Chang has authored 31 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Rheumatology and 11 papers in Genetics. Recurrent topics in Shaoyan Chang's work include Epigenetics and DNA Methylation (13 papers), Folate and B Vitamins Research (11 papers) and Genetic Syndromes and Imprinting (6 papers). Shaoyan Chang is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Folate and B Vitamins Research (11 papers) and Genetic Syndromes and Imprinting (6 papers). Shaoyan Chang collaborates with scholars based in China, France and United States. Shaoyan Chang's co-authors include Ting Zhang, Li Wang, Shaofang Shangguan, Xiaolin Lü, Bo Niu, Yihua Bao, Lihua Wu, Lihua Wu, Zhen Wang and Yu Xin and has published in prestigious journals such as Brain, Brain Research and The FASEB Journal.

In The Last Decade

Shaoyan Chang

31 papers receiving 438 citations

Peers

Shaoyan Chang
Comparison fields: 5 of 64
  • Molecular Biology 263
  • Pediatrics, Perinatology and Child Health 136
  • Rheumatology 119
  • Genetics 100
  • Obstetrics and Gynecology 53
Replace Christian M. Abratte with:
Christian M. Abratte United States
Shaofang Shangguan China
Anna Stanisławska‐Sachadyn Poland
Pietro Cavalli Italy
Ivon J. M. van der Linden Netherlands
Ardavan Akhavan United States
Renate Hillermann South Africa
Bryony V. Natale Canada
Beenish Rahat India
Cong Sui China
Christian M. Abratte United States View profile →
Citations per field, relative to Shaoyan Chang
Shaoyan Chang · 1×
Citations per year, relative to Shaoyan Chang
Shaoyan Chang · 1×

Countries citing papers authored by Shaoyan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyan Chang. A scholar is included among the top collaborators of Shaoyan Chang 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 Shaoyan Chang. Shaoyan Chang 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 7
2 1
3 23
4 8
5 6
6 13
7 33
8 17
9 23
10 5
11 12
12 4
13 24
14 45
15 26
16 9
17
Association between PKA gene polymorphism and NTDs in high risk Chinese population in Shanxi.
7
18 29
19
Epidemiology of diabetes mellitus among adults in Taiwan, R.O.C.
34
20
Epidemiology of diabetes mellitus in Taiwan, R.O.C.--comparison between urban and rural areas.
9

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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