Fa Yang

1.3k total citations
34 papers, 748 citations indexed

About

Fa Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Fa Yang has authored 34 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Immunology. Recurrent topics in Fa Yang's work include Prostate Cancer Treatment and Research (7 papers), Epigenetics and DNA Methylation (5 papers) and Immune cells in cancer (5 papers). Fa Yang is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Epigenetics and DNA Methylation (5 papers) and Immune cells in cancer (5 papers). Fa Yang collaborates with scholars based in China, United States and Italy. Fa Yang's co-authors include Weihong Wen, Donghui Han, Weijun Qin, Weijun Qin, Dian Jiao, Jingliang Zhang, Jieheng Wu, Shengjia Shi, Aizhi Zhao and Angang Yang and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Fa Yang

34 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fa Yang China 15 341 217 210 157 122 34 748
Vasilios Liapis Australia 17 303 0.9× 98 0.5× 270 1.3× 145 0.9× 93 0.8× 30 672
Jaime Fornetti United States 8 209 0.6× 102 0.5× 324 1.5× 82 0.5× 68 0.6× 11 639
Jinhui Liao United States 14 444 1.3× 148 0.7× 415 2.0× 122 0.8× 58 0.5× 22 872
Kazumasa Minami Japan 15 262 0.8× 215 1.0× 321 1.5× 154 1.0× 99 0.8× 55 758
Lin Zhong China 15 235 0.7× 217 1.0× 341 1.6× 149 0.9× 33 0.3× 59 1.0k
Yuxin Liao China 12 305 0.9× 107 0.5× 137 0.7× 116 0.7× 73 0.6× 16 623
Nadège Gaborit France 18 370 1.1× 156 0.7× 449 2.1× 68 0.4× 264 2.2× 24 773
Zhongyuan Yin China 17 440 1.3× 166 0.8× 193 0.9× 68 0.4× 41 0.3× 34 754
Diane V. Lefley United Kingdom 14 434 1.3× 204 0.9× 706 3.4× 181 1.2× 237 1.9× 23 1.1k

Countries citing papers authored by Fa Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fa Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fa Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fa Yang. A scholar is included among the top collaborators of Fa 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 Fa Yang. Fa 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.
Li, Weilin, Fa Yang, Huawei Niu, Luca Patruno, & Xugang Hua. (2024). Wind loads on heliostat tracker: A LES study on the role of geometrical details and the characteristics of near-ground turbulence. Solar Energy. 284. 113041–113041. 4 indexed citations
2.
Jiang, Jun, Chao Xu, Donghui Han, et al.. (2024). Functional heterogeneity of cancer-associated fibroblasts with distinct neoadjuvant immunotherapy plus chemotherapy response in esophageal squamous cell carcinoma. Biomarker Research. 12(1). 113–113. 2 indexed citations
3.
Zhang, Wei, Jiayu Zhang, Qisheng Tang, et al.. (2024). Single-Cell RNA Sequencing Reveals a Unique Fibroblastic Subset and Immune Disorder in Lichen Sclerosus Urethral Stricture. Journal of Inflammation Research. Volume 17. 5327–5346. 5 indexed citations
4.
Wang, Ruoyu, et al.. (2024). The role of phase separation in RNA modification: both cause and effect. International Journal of Biological Macromolecules. 280(Pt 3). 135907–135907. 7 indexed citations
5.
Lu, Shiqi, Keying Zhang, Donghui Han, et al.. (2023). Endosialin in Cancer: Expression Patterns, Mechanistic Insights, and Therapeutic Approaches. Theranostics. 14(1). 379–391. 9 indexed citations
6.
Lu, Shiqi, Tong Lü, Jiayu Zhang, et al.. (2023). CD248 promotes migration and metastasis of osteosarcoma through ITGB1-mediated FAK-paxillin pathway activation. BMC Cancer. 23(1). 290–290. 8 indexed citations
7.
Lü, Tong, Jiayu Zhang, Shiqi Lu, et al.. (2023). Endosialin-positive tumor-derived pericytes promote tumor progression through impeding the infiltration of CD8+ T cells in clear cell renal cell carcinoma. Cancer Immunology Immunotherapy. 72(6). 1739–1750. 9 indexed citations
8.
Zhang, Jingliang, Fei Kang, Jie Gao, et al.. (2023). A Prostate-Specific Membrane Antigen PET-Based Approach for Improved Diagnosis of Prostate Cancer in Gleason Grade Group 1: A Multicenter Retrospective Study. Journal of Nuclear Medicine. 64(11). 1750–1757. 3 indexed citations
9.
He, Zhaohui, Xinkai Zhou, Fa Yang, et al.. (2023). Single-cell transcriptome analysis dissects lncRNA-associated gene networks in Arabidopsis. Plant Communications. 5(2). 100717–100717. 13 indexed citations
10.
Zhang, Jiayu, Shiqi Lu, Tong Lü, et al.. (2023). Single-cell analysis reveals the COL11A1+ fibroblasts are cancer-specific fibroblasts that promote tumor progression. Frontiers in Pharmacology. 14. 1121586–1121586. 32 indexed citations
11.
Qu, Jiao, Fa Yang, Tao Zhu, et al.. (2022). A reference single-cell regulomic and transcriptomic map of cynomolgus monkeys. Nature Communications. 13(1). 4069–4069. 33 indexed citations
12.
Peng, Shiyuan, Fa Yang, Chao Xu, et al.. (2022). Prognostic value and underlying mechanism of autophagy-related genes in bladder cancer. Scientific Reports. 12(1). 2219–2219. 6 indexed citations
13.
Han, Donghui, Chao Xu, Fa Yang, et al.. (2022). Antibody-drug conjugates targeting CD248 inhibits liver fibrosis through specific killing on myofibroblasts. Molecular Medicine. 28(1). 37–37. 13 indexed citations
14.
Lü, Tong, Shiqi Lu, Donghui Han, et al.. (2022). Single-cell analysis of multiple cancer types reveals differences in endothelial cells between tumors and normal tissues. Computational and Structural Biotechnology Journal. 21. 665–676. 33 indexed citations
15.
Niu, Zhiping, Feng Zhao, Weihong Wen, et al.. (2022). The higher levels of self-reported satisfaction, the lower risk of depressive symptoms: Evidence from a nationwide cross-sectional study in China. Frontiers in Medicine. 9. 844964–844964. 2 indexed citations
16.
Xu, Chao, Keying Zhang, Fa Yang, et al.. (2021). CD248+ Cancer-Associated Fibroblasts: A Novel Prognostic and Therapeutic Target for Renal Cell Carcinoma. Frontiers in Oncology. 11. 773063–773063. 18 indexed citations
17.
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
18.
19.
Jiao, Jianhua, Jingliang Zhang, Fa Yang, et al.. (2020). Quicker, deeper and stronger imaging: A review of tumor-targeted, near-infrared fluorescent dyes for fluorescence guided surgery in the preclinical and clinical stages. European Journal of Pharmaceutics and Biopharmaceutics. 152. 123–143. 51 indexed citations
20.
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

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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