Kuanjun He

464 total citations
22 papers, 338 citations indexed

About

Kuanjun He is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kuanjun He has authored 22 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Kuanjun He's work include Genetic Associations and Epidemiology (9 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Circular RNAs in diseases (5 papers). Kuanjun He is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Circular RNAs in diseases (5 papers). Kuanjun He collaborates with scholars based in China, South Korea and Pakistan. Kuanjun He's co-authors include Yongyong Shi, Lin He, Qingzhong Wang, Jianhua Chen, Zhiqiang Li, Chuang Guo, Wenjin Li, Zujia Wen, Jiawei Shen and Jue Ji and has published in prestigious journals such as International Journal of Molecular Sciences, The British Journal of Psychiatry and Frontiers in Microbiology.

In The Last Decade

Kuanjun He

21 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kuanjun He China 11 192 102 71 51 44 22 338
Md Shaki Mostaid Bangladesh 11 162 0.8× 71 0.7× 25 0.4× 80 1.6× 57 1.3× 23 337
Jianmin Yuan China 12 207 1.1× 114 1.1× 68 1.0× 58 1.1× 36 0.8× 28 375
Helen Miranda Knight United Kingdom 10 200 1.0× 100 1.0× 36 0.5× 67 1.3× 12 0.3× 20 338
Jue Ji China 12 177 0.9× 148 1.5× 19 0.3× 68 1.3× 41 0.9× 27 378
Inès Khadimallah Switzerland 9 118 0.6× 31 0.3× 51 0.7× 44 0.9× 90 2.0× 16 270
Shaomin Zhu China 12 212 1.1× 75 0.7× 26 0.4× 132 2.6× 25 0.6× 14 396
Xiaogang Shu China 8 215 1.1× 34 0.3× 69 1.0× 69 1.4× 16 0.4× 13 349
Paul Halley United States 9 224 1.2× 35 0.3× 151 2.1× 75 1.5× 30 0.7× 10 423
Jeffrey J. Moffat United States 10 231 1.2× 139 1.4× 25 0.4× 74 1.5× 24 0.5× 15 398
Miren Roldán Spain 15 329 1.7× 74 0.7× 101 1.4× 39 0.8× 41 0.9× 27 585

Countries citing papers authored by Kuanjun He

Since Specialization
Citations

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

Fields of papers citing papers by Kuanjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuanjun He

This figure shows the co-authorship network connecting the top 25 collaborators of Kuanjun He. A scholar is included among the top collaborators of Kuanjun He 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 Kuanjun He. Kuanjun He 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
2.
Bai, Yulong, et al.. (2024). The Role of microRNA in Schizophrenia: A Scoping Review. International Journal of Molecular Sciences. 25(14). 7673–7673. 3 indexed citations
3.
Guo, Chuang, et al.. (2024). The emerging roles of microbiota-derived extracellular vesicles in psychiatric disorders. Frontiers in Microbiology. 15. 1383199–1383199. 3 indexed citations
4.
Guo, Meng, et al.. (2024). The Interrelationships between Cytokines and Schizophrenia: A Systematic Review. International Journal of Molecular Sciences. 25(15). 8477–8477. 3 indexed citations
5.
Guo, Meng, et al.. (2024). The Association and Prognostic Implications of Long Non-Coding RNAs in Major Psychiatric Disorders, Alzheimer’s Diseases and Parkinson’s Diseases: A Systematic Review. International Journal of Molecular Sciences. 25(20). 10995–10995. 2 indexed citations
6.
Guo, Meng, et al.. (2023). Circular RNAs in extracellular vesicles: Promising candidate biomarkers for schizophrenia. Frontiers in Genetics. 13. 997322–997322. 6 indexed citations
7.
He, Kuanjun, Chuang Guo, Meng Guo, et al.. (2019). Identification of serum microRNAs as diagnostic biomarkers for schizophrenia. Hereditas. 156(1). 23–23. 24 indexed citations
8.
Wang, Qingzhong, Weidong Ji, Kuanjun He, et al.. (2017). Genetic analysis of common variants in the ZNF804A gene with schizophrenia and major depressive disorder. Psychiatric Genetics. 28(1). 1–7. 8 indexed citations
9.
He, Kuanjun, Chuang Guo, Lin He, & Yongyong Shi. (2017). MiRNAs of peripheral blood as the biomarker of schizophrenia. Hereditas. 155(1). 9–9. 42 indexed citations
10.
Chen, Jianhua, Meng Wang, Kuanjun He, et al.. (2016). Association between the variability of theABCA13gene and the risk of major depressive disorder and schizophrenia in the Han Chinese population. The World Journal of Biological Psychiatry. 18(7). 550–556. 9 indexed citations
11.
Li, Wenjin, Weidong Ji, Zhiqiang Li, et al.. (2015). Genetic association of ACSM1 variation with schizophrenia and major depressive disorder in the Han Chinese population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(2). 144–149. 10 indexed citations
12.
Wang, Meng, Jianhua Chen, Kuanjun He, et al.. (2015). The NVL gene confers risk for both major depressive disorder and schizophrenia in the Han Chinese population. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 62. 7–13. 16 indexed citations
13.
Wang, Qingzhong, Yanlin Wang, Weidong Ji, et al.. (2015). <em>SNAP25<em> Is Associated With Schizophrenia and Major Depressive Disorder in the Han Chinese Population. The Journal of Clinical Psychiatry. 76(1). e76–e82. 37 indexed citations
14.
Chen, Jianhua, Kuanjun He, Qingzhong Wang, et al.. (2015). Role played by theSP4gene in schizophrenia and major depressive disorder in the Han Chinese population. The British Journal of Psychiatry. 208(5). 441–445. 5 indexed citations
15.
Li, Wenjin, Zhiqiang Li, Kuanjun He, et al.. (2015). Significant association of GRM7 and GRM8 genes with schizophrenia and major depressive disorder in the Han Chinese population. European Neuropsychopharmacology. 26(1). 136–146. 33 indexed citations
16.
Yu, Qiang, Wenjin Li, Qingzhong Wang, et al.. (2014). Association study of 15q14 and 15q25 with high myopia in the Han Chinese population. BMC Genetics. 15(1). 51–51. 13 indexed citations
17.
He, Kuanjun, Qingzhong Wang, Jianhua Chen, et al.. (2014). ITIH family genes confer risk to schizophrenia and major depressive disorder in the Han Chinese population. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 51. 34–38. 20 indexed citations
18.
Li, Xingwang, Qingzhong Wang, Kuanjun He, et al.. (2014). Common Variants in the CDH7 Gene are Associated with Major Depressive Disorder in the Han Chinese Population. Behavior Genetics. 44(2). 97–101. 5 indexed citations
19.
He, Kuanjun, Qingzhong Wang, Tao Li, et al.. (2013). CACNA1C, schizophrenia and major depressive disorder in the Han Chinese population. The British Journal of Psychiatry. 204(1). 36–39. 50 indexed citations
20.
Xiao, Yue, Lingling Zhang, Kuanjun He, et al.. (2011). Characterization of a novel missense mutation on murine Pax3 through ENU mutagenesis. Journal of genetics and genomics. 38(8). 333–339. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026