Shujun Yan

565 total citations
24 papers, 439 citations indexed

About

Shujun Yan is a scholar working on Molecular Biology, Obstetrics and Gynecology and Materials Chemistry. According to data from OpenAlex, Shujun Yan has authored 24 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Obstetrics and Gynecology and 5 papers in Materials Chemistry. Recurrent topics in Shujun Yan's work include Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (4 papers) and Electrochemical sensors and biosensors (3 papers). Shujun Yan is often cited by papers focused on Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (4 papers) and Electrochemical sensors and biosensors (3 papers). Shujun Yan collaborates with scholars based in China, United Kingdom and Iran. Shujun Yan's co-authors include Jianjun Mu, Yongxin Li, Hui Huang, Xin Li, Juan Bai, Lulu Lei, Wenjing Zhang, Lifang Jiao, Junjun Gao and Zhan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Shujun Yan

23 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shujun Yan China 10 212 133 96 78 74 24 439
Alieh Gholaminejad Iran 9 191 0.9× 96 0.7× 32 0.3× 107 1.4× 11 0.1× 21 422
Xiaojun Cai China 13 146 0.7× 62 0.5× 40 0.4× 21 0.3× 5 0.1× 27 380
Huiping Liu China 11 126 0.6× 28 0.2× 60 0.6× 52 0.7× 18 0.2× 39 481
Hirotaka Araki Japan 10 111 0.5× 66 0.5× 66 0.7× 15 0.2× 25 0.3× 26 471
Yanzhou Zhang China 12 268 1.3× 66 0.5× 107 1.1× 53 0.7× 3 0.0× 19 474
Xiao Jiang China 12 175 0.8× 85 0.6× 59 0.6× 9 0.1× 7 0.1× 21 445
Bowei Zhou China 13 190 0.9× 104 0.8× 58 0.6× 29 0.4× 5 0.1× 33 439
Lishan Tan China 13 169 0.8× 26 0.2× 108 1.1× 31 0.4× 4 0.1× 27 457

Countries citing papers authored by Shujun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shujun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Shujun Yan. A scholar is included among the top collaborators of Shujun Yan 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 Shujun Yan. Shujun Yan 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.
Yan, Shujun, et al.. (2025). A new method of applying CrNbTaMoTi high entropy coating using the laser cladding/laser remelting technique. Materials Chemistry and Physics. 334. 130339–130339. 8 indexed citations
2.
Yan, Shujun, et al.. (2024). In Situ Synthesis of an Epoxy Resin Microwave Absorption Coating with Anti-Ultraviolet Aging Effects. Coatings. 14(4). 514–514. 2 indexed citations
3.
Yan, Shujun, et al.. (2024). In Situ Study on the Structural Evolution of Flexible Ionic Gel Sensors. Coatings. 14(5). 562–562.
4.
Yan, Shujun, et al.. (2023). SUPER-HYDROPHOBIC SILICON CARBIDE REINFORCED EPOXY RESIN COMPOSITES. Surface Review and Letters. 30(7). 1 indexed citations
5.
Zang, Ruochen, et al.. (2023). Dual PI3K/mTOR inhibitor PF-04979064 regulates tumor growth in gastric cancer and enhances drug sensitivity of gastric cancer cells to 5-FU. Biomedicine & Pharmacotherapy. 170. 116086–116086. 6 indexed citations
6.
Wang, Yan, et al.. (2023). Neutrophil extracellular trap burden correlates with the stenosis of coronary atherosclerosis. PeerJ. 11. e15471–e15471. 5 indexed citations
7.
Qi, Yue, et al.. (2022). Expression and role of miR‐146a and SMAD4 in placental tissue of pregnant women with preeclampsia. Journal of obstetrics and gynaecology research. 48(8). 2151–2161. 6 indexed citations
8.
Li, Yingying, Shihong Cui, Bo Yang, et al.. (2020). Differential placental methylation in preeclampsia, preterm and term pregnancies. Placenta. 93. 56–63. 20 indexed citations
9.
Wang, Ping, Chenxi Huang, Junjun Gao, et al.. (2020). Resveratrol induces SIRT1-Dependent autophagy to prevent H2O2-Induced oxidative stress and apoptosis in HTR8/SVneo cells. Placenta. 91. 11–18. 38 indexed citations
10.
Huang, Hui, Juan Bai, Lifang Jiao, et al.. (2020). Fluorescence detection of dopamine based on the polyphenol oxidase–mimicking enzyme. Analytical and Bioanalytical Chemistry. 412(22). 5291–5297. 40 indexed citations
11.
Weng, Ling, Xueqi Li, Yang Li, et al.. (2020). An Observational Study of the Relationship Between Outcome and Platelet Reactivity in Chinese Patients Undergoing PCI Loading with 600 mg Clopidogrel. SHILAP Revista de lepidopterología. 5(1). 2 indexed citations
12.
Zhang, Zhan, Chenxi Huang, Ping Wang, et al.. (2020). HIF‑1α affects trophoblastic apoptosis involved in the onset of preeclampsia by regulating FOXO3a under hypoxic conditions. Molecular Medicine Reports. 21(6). 2484–2492. 23 indexed citations
13.
Yan, Shujun, Shihong Cui, Linlin Zhang, et al.. (2019). Expression of ACKR2 in placentas from different types of preeclampsia. Placenta. 90. 121–127. 7 indexed citations
14.
Jiao, Lifang, Hui Huang, Meini Li, et al.. (2019). Sensitive chemical sensor array based on nanozymes for discrimination of metal ions and teas. Luminescence. 35(2). 321–327. 20 indexed citations
15.
Zhang, Linlin, Yingying Li, Yuan Yang, et al.. (2018). Altered DNA methylation and transcription of WNT2 and DKK1 genes in placentas associated with early-onset preeclampsia. Clinica Chimica Acta. 490. 154–160. 11 indexed citations
16.
Cui, Shihong, et al.. (2018). RNAi‑mediated downregulation of asparaginase‑like protein 1 inhibits growth and promotes apoptosis of human cervical cancer line SiHa. Molecular Medicine Reports. 18(1). 931–937. 7 indexed citations
17.
Weng, Ling, et al.. (2017). Association of folate metabolism gene polymorphisms and haplotype combination with pulmonary embolism risk in Chinese Han population. Mammalian Genome. 28(5-6). 220–226. 5 indexed citations
18.
Li, Xin, et al.. (2017). Down-regulation of lncRNA KCNQ1OT1 protects against myocardial ischemia/reperfusion injury following acute myocardial infarction. Biochemical and Biophysical Research Communications. 491(4). 1026–1033. 123 indexed citations
19.
Li, Xin, et al.. (2016). Resveratrol lowers blood pressure in spontaneously hypertensive rats via calcium-dependent endothelial NO production. Clinical and Experimental Hypertension. 38(3). 287–293. 29 indexed citations
20.
Zhang, Tong, Lili Zhao, Xue Cao, et al.. (2014). Bioinformatics analysis of time series gene expression in left ventricle (LV) with acute myocardial infarction (AMI). Gene. 543(2). 259–267. 28 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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