Jiajun Shi

5.0k total citations
78 papers, 1.6k citations indexed

About

Jiajun Shi is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Jiajun Shi has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 28 papers in Genetics and 13 papers in Physiology. Recurrent topics in Jiajun Shi's work include Genetic Associations and Epidemiology (14 papers), Alzheimer's disease research and treatments (6 papers) and BRCA gene mutations in cancer (5 papers). Jiajun Shi is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Alzheimer's disease research and treatments (6 papers) and BRCA gene mutations in cancer (5 papers). Jiajun Shi collaborates with scholars based in China, United States and Singapore. Jiajun Shi's co-authors include Chunyu Liu, Elliot S. Gershon, Judith A. Badner, Qiuyin Cai, Jirong Long, Wei Zheng, Eiji Hattori, James B. Potash, Virginia L. Willour and Francis J. McMahon and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Jiajun Shi

70 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiajun Shi China 22 639 335 243 177 176 78 1.6k
Hyun Ah Kim South Korea 30 866 1.4× 203 0.6× 132 0.5× 217 1.2× 136 0.8× 82 2.5k
Yan Sun China 28 1.4k 2.2× 209 0.6× 516 2.1× 351 2.0× 209 1.2× 96 2.8k
Akihiro Yasuhara Japan 21 406 0.6× 239 0.7× 64 0.3× 326 1.8× 67 0.4× 79 1.9k
Sudhanshu P. Raikwar United States 25 753 1.2× 162 0.5× 72 0.3× 373 2.1× 47 0.3× 62 2.1k
Haixia Lü China 24 840 1.3× 92 0.3× 211 0.9× 287 1.6× 122 0.7× 82 1.9k
John F. Schmedtje United States 14 485 0.8× 163 0.5× 365 1.5× 164 0.9× 46 0.3× 28 1.6k
Rodney M. Ritzel United States 34 1.1k 1.7× 85 0.3× 156 0.6× 365 2.1× 337 1.9× 59 3.6k
Hong Shen China 22 652 1.0× 93 0.3× 300 1.2× 211 1.2× 109 0.6× 64 1.6k
Lorena Arranz Spain 23 539 0.8× 89 0.3× 114 0.5× 296 1.7× 57 0.3× 39 2.1k
Yi Yin China 26 625 1.0× 74 0.2× 112 0.5× 213 1.2× 71 0.4× 93 2.0k

Countries citing papers authored by Jiajun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Shi. A scholar is included among the top collaborators of Jiajun Shi 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 Jiajun Shi. Jiajun Shi 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
1.
Shi, Jiajun, Yaohua Yang, Dan Zhou, et al.. (2025). A Transcriptome‐Wide Association Study Identifies Candidate Susceptibility Loci and Genes for Lung Cancer Risk. Cancer Medicine. 14(20). e71301–e71301.
2.
Sun, Yuxi, et al.. (2025). Targeting Lactylation for Cancer: Mechanisms, Effects, and Therapeutic Prospects. International Journal of Molecular Sciences. 26(23). 11278–11278.
3.
Washington, M. Kay, Jiajun Shi, Reid M. Ness, et al.. (2025). Yes-associated protein plays oncogenic roles in human sporadic colorectal adenomas. Carcinogenesis. 46(1).
4.
Zhong, Linda L. D., Mingxue Ma, Lifeng Wei, et al.. (2025). Quantitative evaluation of hospital workplace violence prevention and control policies in China: based on PMC index model. Health Research Policy and Systems. 23(1). 77–77.
5.
Shi, Hongjie, Ming Yuan, Jie Cai, et al.. (2024). Exploring personalized treatment for cardiac graft rejection based on a four-archetype analysis model and bioinformatics analysis. Scientific Reports. 14(1). 6529–6529. 1 indexed citations
6.
Li, Yizhe, et al.. (2024). Effects of quenching on domain switching and electric field-induced phase transformations in Na0.5Bi0.5TiO3-NaNbO3 ceramics. Journal of the European Ceramic Society. 44(15). 116767–116767.
7.
Wang, Zhen, Rui Guo, Jiajun Shi, et al.. (2024). Transverse low-velocity impact behaviors of pultruded carbon-fiber-reinforced polymer rods with tensile preloads: Experiment and simulation. Composites Part B Engineering. 283. 111672–111672. 11 indexed citations
8.
Shi, Jiajun, Wanqing Wen, Jirong Long, et al.. (2024). Genetic correlation and causal associations between psychiatric disorders and lung cancer risk. Journal of Affective Disorders. 356. 647–656. 1 indexed citations
9.
Fang, Weijia, Cheng Wang, Jun Li, et al.. (2023). 2186P KN046 in patients with thymic carcinoma: A prospective, single-arm, multi-centre, phase II study. Annals of Oncology. 34. S1132–S1132. 3 indexed citations
11.
Li, Ruomei, et al.. (2023). Zygomaticotemporal suture maturation evaluation in Chinese population using cone-beam computed tomography images. The Korean Journal of Orthodontics. 53(4). 232–240. 1 indexed citations
12.
Sun, Yidan, et al.. (2022). FGF9 Promotes Expression of HAS2 in Palatal Elevation via the Wnt/β-Catenin/TCF7L2 Pathway. Biomolecules. 12(11). 1639–1639. 7 indexed citations
13.
Yoon, Hyung‐Suk, Xiao‐Ou Shu, Yu‐Tang Gao, et al.. (2022). Tooth Loss and Risk of Lung Cancer among Urban Chinese Adults: A Cohort Study with Meta-Analysis. Cancers. 14(10). 2428–2428. 3 indexed citations
14.
Guo, Xingyi, Weiqiang Lin, Jiandong Bao, et al.. (2018). A Comprehensive cis-eQTL Analysis Revealed Target Genes in Breast Cancer Susceptibility Loci Identified in Genome-wide Association Studies. The American Journal of Human Genetics. 102(5). 890–903. 56 indexed citations
15.
Shi, Jiajun, Lang Wu, Wei Zheng, et al.. (2018). Genetic Evidence for the Association between Schizophrenia and Breast Cancer. PubMed. 3(4). 14 indexed citations
16.
Shu, Xiao Ou, Jirong Long, Wei Lu, et al.. (2012). Novel Genetic Markers of Breast Cancer Survival Identified by a Genome-Wide Association Study. Cancer Research. 72(5). 1182–1189. 45 indexed citations
17.
Shi, Jiajun. (2010). Optimization of MDS-based iterative localization algorithm for wireless sensor networks. Transducer and Microsystem Technologies. 3 indexed citations
18.
Shi, Jiajun, Jacqueline K. Wittke‐Thompson, Judith A. Badner, et al.. (2008). Clock genes may influence bipolar disorder susceptibility and dysfunctional circadian rhythm. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(7). 1047–1055. 166 indexed citations
19.
Zhang, Sizhong, Yiping Hou, Yong He, et al.. (2004). Novel P143L polymorphism of the LCAT gene is associated with dyslipidemia in Chinese patients who have coronary atherosclerotic heart disease. Biochemical and Biophysical Research Communications. 318(1). 4–10. 14 indexed citations
20.
Shi, Jiajun, Shuling Zhang, Chunyan Ma, et al.. (2003). Association between apolipoprotein CI HpaI polymorphism and sporadic Alzheimer's disease in Chinese. Acta Neurologica Scandinavica. 109(2). 140–145. 9 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.

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