Jiani Yang

2.0k total citations · 2 hit papers
66 papers, 1.4k citations indexed

About

Jiani Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jiani Yang has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Jiani Yang's work include Ferroptosis and cancer prognosis (10 papers), Ovarian cancer diagnosis and treatment (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Jiani Yang is often cited by papers focused on Ferroptosis and cancer prognosis (10 papers), Ovarian cancer diagnosis and treatment (10 papers) and Nanoplatforms for cancer theranostics (9 papers). Jiani Yang collaborates with scholars based in China, Japan and United States. Jiani Yang's co-authors include Shanshan Cheng, Yanqiao Zhang, Yaqian Du, Piaoping Yang, Fei He, Yuanfei Yao, Yue Jin, Yu Wang, Jun Lin and Jinfeng Zhang and has published in prestigious journals such as Advanced Materials, ACS Nano and Advanced Functional Materials.

In The Last Decade

Jiani Yang

63 papers receiving 1.4k citations

Hit Papers

A “Closed‐Loop” Therapeutic Strategy Based on Mutually Re... 2022 2026 2023 2024 2022 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiani Yang China 20 575 481 302 273 246 66 1.4k
Tinghe Yu China 25 725 1.3× 707 1.5× 277 0.9× 350 1.3× 214 0.9× 81 1.8k
Yun Zhou China 24 400 0.7× 857 1.8× 186 0.6× 228 0.8× 154 0.6× 66 1.6k
Quancheng Kan China 16 352 0.6× 486 1.0× 350 1.2× 206 0.8× 163 0.7× 30 1.2k
Yi Dai China 18 505 0.9× 475 1.0× 165 0.5× 573 2.1× 191 0.8× 72 1.6k
Changhao Cui China 23 319 0.6× 587 1.2× 172 0.6× 142 0.5× 131 0.5× 50 1.6k
Fengming You China 24 452 0.8× 589 1.2× 258 0.9× 120 0.4× 148 0.6× 94 1.4k
Rita Mendes Portugal 11 414 0.7× 590 1.2× 415 1.4× 156 0.6× 182 0.7× 16 1.4k
Guangyu Yao China 20 346 0.6× 638 1.3× 359 1.2× 97 0.4× 176 0.7× 45 1.4k
Sijia He China 13 290 0.5× 522 1.1× 150 0.5× 159 0.6× 110 0.4× 30 1.1k
Jun Lin China 23 505 0.9× 673 1.4× 84 0.3× 513 1.9× 111 0.5× 40 1.8k

Countries citing papers authored by Jiani Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiani Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiani Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiani Yang. A scholar is included among the top collaborators of Jiani Yang 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 Jiani Yang. Jiani Yang 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.
Wu, Meixuan, Shanshan Cheng, Chao Wang, et al.. (2025). Artificial intelligence algorithm for preoperative prediction of FIGO stage in ovarian cancer based on clinical features integrated 18F-FDG PET/CT metabolic and radiomics features. Journal of Cancer Research and Clinical Oncology. 151(2). 87–87. 3 indexed citations
2.
Yang, Jiani, Zhini He, Ziyin Li, et al.. (2025). Inhibitory effects of extracts from Prunella vulgaris on biofilm formation of Staphylococcus aureus. Microbial Pathogenesis. 205. 107694–107694.
3.
Wu, Meixuan, Jiani Yang, Yaqian Zhao, et al.. (2024). Comprehensive machine learning-based preoperative blood features predict the prognosis for ovarian cancer. BMC Cancer. 24(1). 267–267. 4 indexed citations
4.
Lin, Lingling, Feng Gao, Jiani Yang, et al.. (2024). Multitask prediction models for serous ovarian cancer by preoperative CT image assessments based on radiomics. Frontiers in Medicine. 11. 1334062–1334062. 4 indexed citations
5.
Zhang, Chuang, Dongxu Zhao, Fang Fang, et al.. (2024). Quintuple Free‐Radical Therapy: An Ultralong‐Retention FAND for NIR‐Involved Multiple Site‐Acting Hypoxic Tumor Therapy. Advanced Functional Materials. 35(21). 18 indexed citations
6.
Yang, Jiani, Yue Zhang, Shanshan Cheng, et al.. (2024). Anoikis-related signature predicts prognosis and characterizes immune landscape of ovarian cancer. Cancer Cell International. 24(1). 53–53. 5 indexed citations
7.
Yang, Jiani, Yaqian Du, Yuanfei Yao, et al.. (2024). Employing Piezoelectric Mg 2+ ‐Doped Hydroxyapatite to Target Death Receptor‐Mediated Necroptosis: A Strategy for Amplifying Immune Activation. Advanced Science. 11(13). e2307130–e2307130. 22 indexed citations
8.
Zhang, Yue, Chao Wang, Shanshan Cheng, et al.. (2024). A Neutrophil Extracellular Traps–Related Signature Predicts Clinical Outcomes and Identifies Immune Landscape in Ovarian Cancer. Journal of Cellular and Molecular Medicine. 28(24). e70302–e70302. 5 indexed citations
9.
Yang, Rui, Bojun Wang, Luying Cui, et al.. (2024). Mevalonate kinase inhibits anti-tumor immunity by impairing the tumor cell-intrinsic interferon response in microsatellite instability colorectal cancer. Oncogene. 44(14). 944–957. 5 indexed citations
10.
Wang, Sa A., et al.. (2023). Beyond traditional light: NIR-II light-activated photosensitizers for cancer therapy. Journal of Materials Chemistry B. 11(35). 8315–8326. 39 indexed citations
11.
Sheng, Yanan, Jiani Yang, Changyuan Wang, Xindi Sun, & Lei Yan. (2023). Microbial nattokinase: from synthesis to potential application. Food & Function. 14(6). 2568–2585. 17 indexed citations
12.
Ma, Mingjun, Chao Wang, Meixuan Wu, et al.. (2023). CSGALNACT2 restricts ovarian cancer migration and invasion by modulating MAPK/ERK pathway through DUSP1. Cellular Oncology. 47(3). 897–915. 7 indexed citations
13.
Sun, Meng, Jiani Yang, Yinfeng Zhang, et al.. (2023). Beyond Extracellular Vesicles: Hybrid Membrane Nanovesicles as Emerging Advanced Tools for Biomedical Applications. Advanced Science. 10(32). e2303617–e2303617. 66 indexed citations
14.
15.
Xu, Shilin, et al.. (2023). Clinical application of PARP inhibitors in ovarian cancer: from molecular mechanisms to the current status. Journal of Ovarian Research. 16(1). 6–6. 28 indexed citations
16.
Li, Shuxian, et al.. (2022). Seasonal variation in structure and function of gut microbiota in Pomacea canaliculata. Ecology and Evolution. 12(8). e9162–e9162. 20 indexed citations
18.
Yang, Jiani, et al.. (2019). <p>Prognostic significance of FA score based on plasma fibrinogen and serum albumin in patients with epithelial ovarian cancer</p>. Cancer Management and Research. Volume 11. 7697–7705. 11 indexed citations
19.
Cui, Ying, Jinghao Wang, Shanshan Liu, et al.. (2019). miR‐216a promotes breast cancer cell apoptosis by targeting PKCα. Fundamental and Clinical Pharmacology. 33(4). 397–404. 23 indexed citations
20.
Zhu, Xingmei, et al.. (2019). [Bioinformatic analysis of direct protein targets of aspirin against human breast cancer proliferation].. PubMed. 39(10). 1141–1148. 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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