Shijie Sheng

7.4k total citations · 2 hit papers
85 papers, 6.0k citations indexed

About

Shijie Sheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shijie Sheng has authored 85 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 41 papers in Cancer Research and 19 papers in Oncology. Recurrent topics in Shijie Sheng's work include Protease and Inhibitor Mechanisms (35 papers), Bone and Dental Protein Studies (13 papers) and Peptidase Inhibition and Analysis (11 papers). Shijie Sheng is often cited by papers focused on Protease and Inhibitor Mechanisms (35 papers), Bone and Dental Protein Studies (13 papers) and Peptidase Inhibition and Analysis (11 papers). Shijie Sheng collaborates with scholars based in United States, China and France. Shijie Sheng's co-authors include Ruth Sager, Mary J.C. Hendrix, Elisabeth A. Seftor, Hailong Wu, Yin-Yuan Mo, Daotai Nie, Fangting Wu, Arthur B. Pardee, Meng Qiao and Philip A. Pemberton and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Shijie Sheng

82 papers receiving 5.9k citations

Hit Papers

MicroRNA-21 targets tumor... 1994 2026 2004 2015 2008 1994 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijie Sheng United States 40 3.7k 2.9k 1.6k 561 529 85 6.0k
Viktor Magdolen Germany 46 3.0k 0.8× 2.6k 0.9× 2.0k 1.3× 168 0.3× 326 0.6× 202 6.4k
Peter A. Andreasen Denmark 44 2.9k 0.8× 4.5k 1.6× 1.5k 1.0× 186 0.3× 467 0.9× 158 7.2k
Jack Henkin United States 42 2.5k 0.7× 2.1k 0.7× 1.3k 0.8× 125 0.2× 532 1.0× 111 4.8k
Giulia Taraboletti Italy 47 4.0k 1.1× 2.2k 0.8× 2.1k 1.3× 192 0.3× 506 1.0× 112 7.1k
Lalita A. Shevde United States 41 4.5k 1.2× 1.6k 0.5× 2.5k 1.6× 332 0.6× 1.0k 2.0× 105 6.9k
Karen Blyth United Kingdom 43 4.7k 1.3× 2.2k 0.8× 1.9k 1.1× 158 0.3× 563 1.1× 134 7.0k
Sandra R. Wolman United States 32 2.5k 0.7× 1.6k 0.6× 1.5k 0.9× 254 0.5× 478 0.9× 103 4.8k
L. A. Liotta United States 21 3.0k 0.8× 1.8k 0.6× 1.7k 1.0× 121 0.2× 483 0.9× 39 4.9k
Yinkun Liu China 43 3.4k 0.9× 1.3k 0.5× 1.3k 0.8× 177 0.3× 411 0.8× 200 5.5k
Karin Milde‐Langosch Germany 42 3.2k 0.9× 1.8k 0.6× 1.9k 1.2× 111 0.2× 551 1.0× 130 5.6k

Countries citing papers authored by Shijie Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Shijie Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Sheng. A scholar is included among the top collaborators of Shijie Sheng 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 Shijie Sheng. Shijie Sheng 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.
Ji, Lin, Jia Chen, Ying‐Ping Wang, et al.. (2019). Therapeutic potential of pravastatin for random skin flaps necrosis: involvement of promoting angiogenesis and inhibiting apoptosis and oxidative stress. SHILAP Revista de lepidopterología.
3.
Sheng, Shijie, M. Margarida Bernardo, Sijana H. Dzinic, et al.. (2018). Tackling tumor heterogeneity and phenotypic plasticity in cancer precision medicine: our experience and a literature review. Cancer and Metastasis Reviews. 37(4). 655–663. 18 indexed citations
4.
Kidder, Benjamin L., Runsheng He, Darawalee Wangsa, et al.. (2017). SMYD5 Controls Heterochromatin and Chromosome Integrity during Embryonic Stem Cell Differentiation. Cancer Research. 77(23). 6729–6745. 27 indexed citations
5.
Bernardo, M. Margarida, Alexander Kaplun, Sijana H. Dzinic, et al.. (2015). Maspin Expression in Prostate Tumor Cells Averts Stemness and Stratifies Drug Sensitivity. Cancer Research. 75(18). 3970–3979. 19 indexed citations
6.
Wang, Yang, Shijie Sheng, Jianzhi Zhang, et al.. (2013). Elevated Maspin Expression Is Associated with Better Overall Survival in Esophageal Squamous Cell Carcinoma (ESCC). PLoS ONE. 8(5). e63581–e63581. 19 indexed citations
7.
Lonardo, Fulvio, Xiaohua Li, Alexander Kaplun, et al.. (2010). The Natural Tumor Suppressor Protein Maspin and Potential Application in Non Small Cell Lung Cancer. Current Pharmaceutical Design. 16(16). 1877–1881. 29 indexed citations
9.
Cai, Juan, Pridvi Kandagatla, Rajareddy Singareddy, et al.. (2010). Androgens Induce Functional CXCR4 through ERG Factor Expression in TMPRSS2-ERG Fusion-Positive Prostate Cancer Cells. Translational Oncology. 3(3). 195–IN1. 45 indexed citations
10.
Dong, Zhong, Allen Saliganan, Meng Hong, et al.. (2008). Prostate Cancer Cell-Derived Urokinase-Type Plasminogen Activator Contributes to Intraosseous Tumor Growth and Bone Turnover. Neoplasia. 10(5). 439–449. 37 indexed citations
11.
Wu, Hailong, et al.. (2008). MicroRNA-21 targets tumor suppressor genes in invasion and metastasis. Cell Research. 18(3). 350–359. 894 indexed citations breakdown →
12.
Lockett, Jaron, Shuping Yin, Xiaohua Li, Yonghong Meng, & Shijie Sheng. (2005). Tumor suppressive maspin and epithelial homeostasis. Journal of Cellular Biochemistry. 97(4). 651–660. 79 indexed citations
13.
Sheng, Shijie, et al.. (2005). Maspin sensitizes prostate cancer cells to doxazosin-induced apoptosis. Oncogene. 24(34). 5375–5383. 32 indexed citations
14.
Sheng, Shijie. (2004). The promise and challenge toward the clinical application of maspin in cancer. Frontiers in bioscience. 9(1-3). 2733–2733. 39 indexed citations
15.
Reddy, Kaladhar B., et al.. (2001). Maspin expression inversely correlates with breast tumor progression in MMTV/TGF-alpha transgenic mouse model. Oncogene. 20(45). 6538–6543. 23 indexed citations
16.
Sheng, Shijie. (2001). The Urokinase-type Plasminogen Activator System in Prostate Cancer Metastasis. Cancer and Metastasis Reviews. 20(3-4). 287–296. 61 indexed citations
17.
Meng, Xiaofeng, Shijie Sheng, Ning Zhu, et al.. (2001). Formation and identification of 4'-O-methyl-(-)-epigallocatechin in humans.. PubMed. 29(6). 789–93. 58 indexed citations
18.
Sheng, Shijie, et al.. (1999). Remangilones A−C, New Cytotoxic Triterpenes from Physena madagascariensis. Journal of Natural Products. 62(3). 471–476. 14 indexed citations
19.
Liu, Yiliang E., Ming‐Sheng Wang, J. M. Greene, et al.. (1997). Preparation and Characterization of Recombinant Tissue Inhibitor of Metalloproteinase 4 (TIMP-4). Journal of Biological Chemistry. 272(33). 20479–20483. 110 indexed citations
20.
Wang, Ming‐Sheng, J. M. Greene, Shijie Sheng, et al.. (1997). Inhibition of tumor growth and metastasis of human breast cancer cells transfected with tissue inhibitor of metalloproteinase 4. Oncogene. 14(23). 2767–2774. 135 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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