Ni Sima

607 total citations
20 papers, 463 citations indexed

About

Ni Sima is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Ni Sima has authored 20 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Ni Sima's work include Cervical Cancer and HPV Research (9 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). Ni Sima is often cited by papers focused on Cervical Cancer and HPV Research (9 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). Ni Sima collaborates with scholars based in China and United States. Ni Sima's co-authors include Debo Kong, Ding Ma, Wei Wang, Shixuan Wang, Meng Li, Jianfeng Zhou, Qian Xu, Xing Xie, Gang Xu and Feng Chen and has published in prestigious journals such as PLoS ONE, Cancer Letters and Gynecologic Oncology.

In The Last Decade

Ni Sima

20 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ni Sima China 11 259 127 121 95 82 20 463
Lixia Miao China 10 235 0.9× 39 0.3× 108 0.9× 100 1.1× 62 0.8× 24 420
Heiko Stahl Germany 10 433 1.7× 117 0.9× 133 1.1× 148 1.6× 272 3.3× 13 701
Haruka Nishida Japan 12 205 0.8× 82 0.6× 152 1.3× 128 1.3× 117 1.4× 37 472
Robert Valentine United Kingdom 4 210 0.8× 61 0.5× 188 1.6× 122 1.3× 80 1.0× 4 441
Joana Carvalho United Kingdom 11 356 1.4× 42 0.3× 207 1.7× 105 1.1× 121 1.5× 13 552
Yulan Yan China 15 285 1.1× 83 0.7× 61 0.5× 167 1.8× 86 1.0× 32 468
Michael Schauer Germany 8 238 0.9× 129 1.0× 80 0.7× 48 0.5× 111 1.4× 11 629
Smita Misra United States 14 368 1.4× 77 0.6× 129 1.1× 94 1.0× 37 0.5× 31 569
Tim Van Acker United Kingdom 9 271 1.0× 176 1.4× 62 0.5× 74 0.8× 128 1.6× 9 490

Countries citing papers authored by Ni Sima

Since Specialization
Citations

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

Fields of papers citing papers by Ni Sima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni Sima

This figure shows the co-authorship network connecting the top 25 collaborators of Ni Sima. A scholar is included among the top collaborators of Ni Sima 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 Ni Sima. Ni Sima 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.
Yuan, Shuo, Lingfang Wang, Hui‐Yi Lin, et al.. (2024). CYP1B1 promotes PARPi-resistance via histone H1.4 interaction and increased chromatin accessibility in ovarian cancer. Drug Resistance Updates. 77. 101151–101151. 6 indexed citations
2.
Huang, Wei, Shu Yang, Yu‐Shan Cheng, et al.. (2022). Terfenadine resensitizes doxorubicin activity in drug-resistant ovarian cancer cells via an inhibition of CaMKII/CREB1 mediated ABCB1 expression. Frontiers in Oncology. 12. 1068443–1068443. 6 indexed citations
3.
Wang, Lingfang, Xiumin Zhao, Fenfen Wang, et al.. (2021). The Value of MicroRNA-375 Detection for Triaging Primary Human Papillomavirus Positive Women: A Cross-Sectional Study in a General Population. Frontiers in Oncology. 11. 771053–771053. 2 indexed citations
4.
Sima, Ni, Wei Sun, Kirill Gorshkov, et al.. (2018). Small Molecules Identified from a Quantitative Drug Combinational Screen Resensitize Cisplatin's Response in Drug-Resistant Ovarian Cancer Cells. Translational Oncology. 11(4). 1053–1064. 9 indexed citations
5.
Gorshkov, Kirill, Ni Sima, Wei Sun, et al.. (2018). Quantitative Chemotherapeutic Profiling of Gynecologic Cancer Cell Lines Using Approved Drugs and Bioactive Compounds. Translational Oncology. 12(3). 441–452. 16 indexed citations
6.
Sima, Ni, Rong Li, Wei Huang, et al.. (2018). Neural stem cells for disease modeling and evaluation of therapeutics for infantile (CLN1/PPT1) and late infantile (CLN2/TPP1) neuronal ceroid lipofuscinoses. Orphanet Journal of Rare Diseases. 13(1). 54–54. 27 indexed citations
7.
Kong, Debo, Feng Chen, & Ni Sima. (2017). Focal adhesion kinases crucially regulate TGFβ-induced migration and invasion of bladder cancer cells via Src kinase and E-cadherin. OncoTargets and Therapy. Volume 10. 1783–1792. 36 indexed citations
8.
Kong, Debo, Feng Chen, & Ni Sima. (2015). Inhibition of focal adhesion kinase induces apoptosis in bladder cancer cells via Src and the phosphatidylinositol 3-kinase/Akt pathway. Experimental and Therapeutic Medicine. 10(5). 1725–1731. 39 indexed citations
9.
Sima, Ni, Xiaodong Cheng, Feng Ye, et al.. (2013). The Overexpression of Scaffolding Protein NEDD9 Promotes Migration and Invasion in Cervical Cancer via Tyrosine Phosphorylated FAK and SRC. PLoS ONE. 8(9). e74594–e74594. 49 indexed citations
10.
Wang, Wei, Xi Xia, Shusen Wang, et al.. (2011). Oncolytic adenovirus armed with human papillomavirus E2 gene in combination with radiation demonstrates synergistic enhancements of antitumor efficacy. Cancer Gene Therapy. 18(11). 825–836. 9 indexed citations
11.
Sima, Ni, Weiguo Lü, & Xing Xie. (2011). Early proteins E6 and E7 of human papillomavirus may attenuate ischemia–reperfusion injury. Medical Hypotheses. 76(4). 607–609. 7 indexed citations
12.
Deng, Dongrui, Shujie Liao, Xiangyang Bai, et al.. (2011). The Preparation of Human Papillomavirus Type 58 Vaccine and Exploring Its Biological Activity and Immunogenicity In Vitro. International Journal of Gynecological Cancer. 21(6). 988–995. 1 indexed citations
13.
14.
15.
Luo, Aiyue, Wei Wang, Ni Sima, et al.. (2008). Short hairpin RNA targeting c-FLIP sensitizes human cervical adenocarcinoma Hela cells to chemotherapy and radiotherapy. Cancer Letters. 271(2). 323–332. 11 indexed citations
16.
Sima, Ni, Shixuan Wang, Wei Wang, et al.. (2007). Antisense targeting human papillomavirus type 16 E6 and E7 genes contributes to apoptosis and senescence in SiHa cervical carcinoma cells. Gynecologic Oncology. 106(2). 299–304. 46 indexed citations
17.
Wang, Wei, Shixuan Wang, Ni Sima, et al.. (2007). The relationship between c-FLIP expression and human papillomavirus E2 gene disruption in cervical carcinogenesis. Gynecologic Oncology. 105(3). 571–577. 45 indexed citations
18.
19.
Sima, Ni, Liping Cai, Yuanfang Zhu, et al.. (2007). Relationship between the expression of telomerase and human papillomavirus infection in invasive uterine cervical carcinoma. Journal of Huazhong University of Science and Technology [Medical Sciences]. 27(4). 451–453. 1 indexed citations
20.
Sima, Ni, Debo Kong, Wei Wang, et al.. (2007). [Antisense targeting to human papillomavirus 18 E6/E7 affects the proliferation and apoptosis of human cervical carcinoma: an in vitro experiment with HeLa cells].. PubMed. 87(23). 1618–21. 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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