Zujia Wen

1.7k total citations
27 papers, 399 citations indexed

About

Zujia Wen is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zujia Wen has authored 27 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 11 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zujia Wen's work include Genetic Associations and Epidemiology (15 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). Zujia Wen is often cited by papers focused on Genetic Associations and Epidemiology (15 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). Zujia Wen collaborates with scholars based in China, Pakistan and South Korea. Zujia Wen's co-authors include Yongyong Shi, Jianhua Chen, Zhiqiang Li, Jiawei Shen, Wenjin Li, Zhijian Song, Qingzhong Wang, Kuanjun He, Weidong Ji and Meng Wang and has published in prestigious journals such as PLoS ONE, The British Journal of Psychiatry and Journal of Affective Disorders.

In The Last Decade

Zujia Wen

27 papers receiving 399 citations

Peers

Zujia Wen
Comparison fields: 5 of 79
  • Molecular Biology 157
  • Genetics 133
  • Psychiatry and Mental health 39
  • Cognitive Neuroscience 38
  • Cardiology and Cardiovascular Medicine 37
Replace Jue Ji with:
Jue Ji China
William R. Reay Australia
Dimitri Avramopoulos United States
Helena Hernández‐Cuervo United States
Sara Guzzetti Italy
Xiao Ke China
Vini Nagaraj United States
Nicole Créau France
Srinivasa Thirumalai United Kingdom
Betty Doan United States
Jue Ji China View profile →
Citations per field, relative to Zujia Wen
Zujia Wen · 1×
Citations per year, relative to Zujia Wen
Zujia Wen · 1×

Countries citing papers authored by Zujia Wen

Since Specialization
Citations

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

Fields of papers citing papers by Zujia Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zujia Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Zujia Wen. A scholar is included among the top collaborators of Zujia Wen 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 Zujia Wen. Zujia Wen 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 2
2 8
3 9
4 10
5 23
6 3
7 10
8 16
9 4
10 37
11 5
12 10
13 13
14 13
15 17
16 20
17 5
18 20
19 12
20 51

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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