Jia Wei

811 total citations · 1 hit paper
32 papers, 637 citations indexed

About

Jia Wei is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Jia Wei has authored 32 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Obstetrics and Gynecology, 8 papers in Pediatrics, Perinatology and Child Health and 7 papers in Molecular Biology. Recurrent topics in Jia Wei's work include Pregnancy and preeclampsia studies (11 papers), Birth, Development, and Health (6 papers) and Gestational Diabetes Research and Management (4 papers). Jia Wei is often cited by papers focused on Pregnancy and preeclampsia studies (11 papers), Birth, Development, and Health (6 papers) and Gestational Diabetes Research and Management (4 papers). Jia Wei collaborates with scholars based in China, New Zealand and United States. Jia Wei's co-authors include Larry Chamley, Jiaqi Wu, Yang Jin, Yi Lü, Zhejun Cai, Zhen Yuan, Peter Stone, Huajing Fang, Mancy Tong and Min Zhao and has published in prestigious journals such as Blood, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Jia Wei

31 papers receiving 627 citations

Hit Papers

Abdominal Aortic Aneurysm: Roles of Inflammatory Cells 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Abdominal Aortic Aneurysm: Roles of Inflammatory Cells
    2021 159 citations Zhen Yuan, Yi Lü et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Wei China 14 255 177 141 131 101 32 637
Jiansong Wang China 13 29 0.1× 291 1.6× 58 0.4× 126 1.0× 22 0.2× 70 763
Wanxin Tang China 13 19 0.1× 239 1.4× 70 0.5× 63 0.5× 23 0.2× 30 494
David W. Dodington Canada 12 43 0.2× 129 0.7× 83 0.6× 31 0.2× 57 0.6× 20 523
Guorong Lv China 13 41 0.2× 143 0.8× 14 0.1× 48 0.4× 77 0.8× 47 509
Qing Zhou China 15 57 0.2× 182 1.0× 39 0.3× 231 1.8× 12 0.1× 68 733
Shiyuan Wu China 8 42 0.2× 557 3.1× 168 1.2× 76 0.6× 13 0.1× 10 691
Takaaki Sato Japan 15 79 0.3× 62 0.4× 26 0.2× 45 0.3× 24 0.2× 50 572
Mustafa Yıldırım Türkiye 17 10 0.0× 145 0.8× 39 0.3× 129 1.0× 17 0.2× 63 692

Countries citing papers authored by Jia Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jia Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Wei. A scholar is included among the top collaborators of Jia Wei 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 Jia Wei. Jia Wei 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.
Zhang, Shulin, et al.. (2024). Land-atmosphere interaction during heat waves diagnosed using vapor pressure deficit dynamics. Journal of Hydrology. 645. 132181–132181. 1 indexed citations
2.
3.
Tao, Yijin, Wenyan Yang, Jia Wei, et al.. (2021). Evaluation of Macular and Retinal Ganglion Cell Count Estimates for Detecting and Staging Glaucoma. Frontiers in Medicine. 8. 740761–740761. 3 indexed citations
4.
Yuan, Zhen, Yi Lü, Jia Wei, et al.. (2021). Abdominal Aortic Aneurysm: Roles of Inflammatory Cells. Frontiers in Immunology. 11. 609161–609161. 159 indexed citations breakdown →
5.
Wei, Jia, Cherie Blenkiron, Peter Tsai, et al.. (2017). Placental trophoblast debris mediated feto-maternal signalling via small RNA delivery: implications for preeclampsia. Scientific Reports. 7(1). 14681–14681. 27 indexed citations
6.
Li, Xiaoheng, Leping Ye, Kaiming Yuan, et al.. (2016). In utero perfluorooctane sulfonate exposure causes low body weights of fetal rats: A mechanism study. Placenta. 39. 125–133. 41 indexed citations
7.
Gao, Yifei, Ke Zeng, Yongxiang Yin, et al.. (2016). The levels of the sex hormones are not different between type 1 and type 2 endometrial cancer. Scientific Reports. 6(1). 39744–39744. 33 indexed citations
8.
Shao, Jun, Mancy Tong, Jia Wei, et al.. (2016). Increased levels of HMGB1 in trophoblastic debris may contribute to preeclampsia. Reproduction. 152(6). 775–784. 40 indexed citations
9.
Tong, Mancy, Jia Wei, Michelle Wise, et al.. (2016). Increased levels of High Mobility Group Box 1 (HMGB1) in trophoblastic debris may contribute to endothelial cell activation: A potential player in the pathogenesis of preeclampsia. Journal of Reproductive Immunology. 115. 41–41. 1 indexed citations
10.
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Wei, Jia, Sandy Lau, Cherie Blenkiron, et al.. (2016). Trophoblastic debris modifies endothelial cell transcriptome in vitro: a mechanism by which fetal cells might control maternal responses to pregnancy. Scientific Reports. 6(1). 30632–30632. 20 indexed citations
12.
Chen, Q, Sandy Lau, Mancy Tong, et al.. (2015). Serum uric acid may not be involved in the development of preeclampsia. Journal of Human Hypertension. 30(2). 136–140. 26 indexed citations
13.
Wei, Jia, Q. Chen, Joanna L. James, Peter Stone, & Larry Chamley. (2015). IL-1 beta but not the NALP3 inflammasome is an important determinant of endothelial cell responses to necrotic/dangerous trophoblastic debris. Placenta. 36(12). 1385–1392. 8 indexed citations
14.
Tong, Mancy, et al.. (2015). The anti-inflammatory effect of calcium for preventing endothelial cell activation in preeclampsia. Journal of Human Hypertension. 30(5). 303–308. 19 indexed citations
15.
16.
Zhao, Mengjie, Jurong Ding, Guiying Nie, et al.. (2014). HTRA3 is Reduced in Ovarian Cancers Regardless of Stage. Cancer Investigation. 32(9). 464–469. 11 indexed citations
17.
Yin, Yongxiang, Man Wu, Guiying Nie, et al.. (2013). HtrA3 is negatively correlated with lymph node metastasis in invasive ductal breast cancer. Tumor Biology. 34(6). 3611–3617. 17 indexed citations
18.
Ning, Ning, et al.. (2011). Aliskiren vs. Angiotensin Receptor Blockers in Hypertension: Meta-Analysis of Randomized Controlled Trials. American Journal of Hypertension. 24(5). 613–621. 15 indexed citations
19.
Wei, Jia, Huajing Fang, & Hua O. Wang. (2010). Consensus of multi-agent system with communication delays by self-delay PD control. 48. 2295–2300. 4 indexed citations
20.
Wei, Jia. (2006). Effect of Essential Oil from Angelica Sinensis on Level of Nitric Oxide and Calcium Ion in Uterine Tissue of Mice. Lishizhen Medicine and Materia Medica Research. 1 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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