Shengjia Shi

1.4k total citations
25 papers, 944 citations indexed

About

Shengjia Shi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Shengjia Shi has authored 25 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Immunology. Recurrent topics in Shengjia Shi's work include Prostate Cancer Treatment and Research (6 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (4 papers). Shengjia Shi is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (4 papers). Shengjia Shi collaborates with scholars based in China and United States. Shengjia Shi's co-authors include Lijuan Wang, Weihong Wen, Yong Jin, Yunhui Li, Bo Yu, Angang Yang, Zhangyan Guo, Ming Wei, Donghui Han and Guodong Wang and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Shengjia Shi

24 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengjia Shi China 13 448 391 256 211 162 25 944
Jinhuan Wei China 19 883 2.0× 701 1.8× 268 1.0× 81 0.4× 330 2.0× 44 1.4k
Ida Katrine Lund Denmark 18 335 0.7× 356 0.9× 264 1.0× 132 0.6× 90 0.6× 43 839
Yingying Liang China 15 426 1.0× 252 0.6× 341 1.3× 170 0.8× 187 1.2× 29 851
Chiuan‐Ren Yeh United States 16 340 0.8× 207 0.5× 218 0.9× 126 0.6× 185 1.1× 21 819
Bangrong Cao China 14 564 1.3× 376 1.0× 167 0.7× 133 0.6× 123 0.8× 44 818
Min Tu China 19 486 1.1× 321 0.8× 391 1.5× 160 0.8× 107 0.7× 43 928
Moein Farshchian Iran 16 502 1.1× 139 0.4× 257 1.0× 133 0.6× 61 0.4× 41 729

Countries citing papers authored by Shengjia Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shengjia Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjia Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shengjia Shi. A scholar is included among the top collaborators of Shengjia 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 Shengjia Shi. Shengjia 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, Shengjia, et al.. (2025). From histopathology to clinical success: Johnsen score as predictors in micro-TESE outcomes of idiopathic non-obstructive azoospermia. Pathology - Research and Practice. 272. 156043–156043.
2.
Shi, Shengjia, Jie Yang, Tianwei Wang, et al.. (2024). A novel homozygous LRRC6 mutation causes male infertility with asthenozoospermia and primary ciliary dyskinesia in humans. Andrology. 13(3). 459–472. 3 indexed citations
3.
4.
Shi, Shengjia, et al.. (2023). The influence of male and female overweight/obesity on IVF outcomes: a cohort study based on registration in Western China. Reproductive Health. 20(1). 3–3. 12 indexed citations
5.
Shi, Shengjia, Tianwei Wang, Lei Wang, & Mingjuan Wang. (2023). Nomogram based on a circular RNA biomarker for predicting the likelihood of successful sperm retrieval via microdissection testicular sperm extraction in patients with idiopathic non-obstructive azoospermia. Frontiers in Endocrinology. 13. 1109807–1109807. 11 indexed citations
6.
Shi, Shengjia, Donghui Han, Jingliang Zhang, et al.. (2023). VIM‑AS1 promotes proliferation and drives enzalutamide resistance in prostate cancer via IGF2BP2‑mediated HMGCS1 mRNA stabilization. International Journal of Oncology. 62(3). 11 indexed citations
7.
8.
He, Chenchen, Shengjia Shi, Mincong Wang, et al.. (2021). Linc00963 Promote Cell Proliferation and Tumor Growth in Castration-Resistant Prostate Cancer by Modulating miR-655/TRIM24 Axis. Frontiers in Oncology. 11. 636965–636965. 20 indexed citations
9.
Li, Yu, Keying Zhang, Fa Yang, et al.. (2021). Prognostic Value of Vascular-Expressed PSMA and CD248 in Urothelial Carcinoma of the Bladder. Frontiers in Oncology. 11. 771036–771036. 9 indexed citations
10.
Li, Yu, Donghui Han, Jing Ren, et al.. (2020). Comparison of 68Ga-PSMA-617 PET/CT with mpMRI for the detection of PCa in patients with a PSA level of 4–20 ng/ml before the initial biopsy. Scientific Reports. 10(1). 10963–10963. 26 indexed citations
11.
Yang, Fa, Wei Yan, Donghui Han, et al.. (2020). Interaction with CD68 and Regulation of GAS6 Expression by Endosialin in Fibroblasts Drives Recruitment and Polarization of Macrophages in Hepatocellular Carcinoma. Cancer Research. 80(18). 3892–3905. 74 indexed citations
12.
Wu, Jieheng, Donghui Han, Shengjia Shi, et al.. (2019). A Novel Fully Human Antibody targeting Extracellular Domain of PSMA Inhibits Tumor Growth in Prostate Cancer. Molecular Cancer Therapeutics. 18(7). 1289–1301. 10 indexed citations
13.
Jiao, Dian, Yu Li, Fa Yang, et al.. (2019). Expression of Prostate-Specific Membrane Antigen in Tumor-Associated Vasculature Predicts Poor Prognosis in Hepatocellular Carcinoma. Clinical and Translational Gastroenterology. 10(5). e00041–e00041. 57 indexed citations
14.
Shi, Shengjia, Lijuan Wang, Donghui Han, et al.. (2019). Therapeutic effects of human monoclonal PSMA antibody-mediated TRIM24 siRNA delivery in PSMA-positive castration-resistant prostate cancer. Theranostics. 9(5). 1247–1263. 44 indexed citations
15.
Cui, Xiaoxia, Qi Fan, Shengjia Shi, et al.. (2018). A novel near-infrared nanomaterial with high quantum efficiency and its applications in real time in vivo imaging. Nanotechnology. 29(20). 205705–205705. 17 indexed citations
16.
Zhang, Jingliang, Shuai Shao, Donghui Han, et al.. (2018). High mobility group box 1 promotes the epithelial-to-mesenchymal transition in prostate cancer PC3 cells via the RAGE/NF-κB signaling pathway. International Journal of Oncology. 53(2). 659–671. 55 indexed citations
17.
Wang, Lijuan, Shengjia Shi, Yan Zhou, et al.. (2017). [miR-590-5p inhibits A375 cell invasion and migration in malignant melanoma by directly inhibiting YAP1 expression].. PubMed. 33(3). 326–330. 4 indexed citations
18.
Shi, Shengjia, et al.. (2015). LncRNA-ATB promotes trastuzumab resistance and invasion-metastasis cascade in breast cancer. Oncotarget. 6(13). 11652–11663. 271 indexed citations
19.
Guo, Zhangyan, Yonggang Lv, Lei Wang, et al.. (2014). Predictive value of HLA-G and HLA-E in the prognosis of colorectal cancer patients. Cellular Immunology. 293(1). 10–16. 80 indexed citations
20.
Shi, Shengjia, Lijuan Wang, Guodong Wang, et al.. (2013). B7-H1 Expression Is Associated with Poor Prognosis in Colorectal Carcinoma and Regulates the Proliferation and Invasion of HCT116 Colorectal Cancer Cells. PLoS ONE. 8(10). e76012–e76012. 149 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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