Ying Fu

580 total citations
14 papers, 320 citations indexed

About

Ying Fu is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ying Fu has authored 14 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ying Fu's work include Immune Cell Function and Interaction (6 papers), Immune cells in cancer (4 papers) and T-cell and B-cell Immunology (3 papers). Ying Fu is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immune cells in cancer (4 papers) and T-cell and B-cell Immunology (3 papers). Ying Fu collaborates with scholars based in China, Indonesia and United States. Ying Fu's co-authors include Yiwei Chu, Luman Wang, Wanquan Ji, Hong Zhang, Xinlun Liu, Yajuan Wang, Changyou Wang, Yongzheng Yang, Hao Li and Yingbin Nie and has published in prestigious journals such as Journal of Molecular Biology, Hepatology and Frontiers in Immunology.

In The Last Decade

Ying Fu

13 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Fu China 7 162 113 88 33 27 14 320
Sandra A. Vloemans Netherlands 7 90 0.6× 166 1.5× 110 1.3× 17 0.5× 28 1.0× 14 309
Yukari Masuta Japan 10 321 2.0× 180 1.6× 34 0.4× 47 1.4× 12 0.4× 14 428
Christine H. O’Connor United States 10 126 0.8× 97 0.9× 86 1.0× 61 1.8× 26 1.0× 14 261
Rui-Rui He China 10 213 1.3× 206 1.8× 43 0.5× 27 0.8× 17 0.6× 24 391
Yuting Yang China 7 53 0.3× 142 1.3× 35 0.4× 20 0.6× 44 1.6× 28 272
Yanan Yang China 9 153 0.9× 254 2.2× 81 0.9× 18 0.5× 15 0.6× 19 425
Chuanyu Ma China 9 230 1.4× 146 1.3× 30 0.3× 80 2.4× 32 1.2× 16 378
Zhuoyao Chen United Kingdom 8 124 0.8× 300 2.7× 41 0.5× 16 0.5× 55 2.0× 11 373
Mayumi Nakano United States 10 438 2.7× 293 2.6× 95 1.1× 32 1.0× 36 1.3× 14 639

Countries citing papers authored by Ying Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Fu. A scholar is included among the top collaborators of Ying Fu 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 Ying Fu. Ying Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Dong, Xuan, et al.. (2025). Extracellular vesicles in age-related diseases: disease pathogenesis, intervention, and biomarker. Stem Cell Research & Therapy. 16(1). 263–263. 3 indexed citations
2.
Wang, Wenjun, Xiaoqin Cheng, Yue Cao, et al.. (2024). M2 macrophages promote IL-10+B-cell production and alleviate asthma in mice. PubMed. 5(1). ltaf007–ltaf007. 1 indexed citations
3.
An, Xiao‐De, Hui‐Yun Wang, Wentao Jiang, et al.. (2024). Visible-light-induced hydrosulfonylation of alkynes driven by electron-donor–acceptor (EDA) complexes. Tetrahedron Letters. 153. 155368–155368. 1 indexed citations
4.
5.
Fu, Ying, Qi Wang, Hushan Zhang, et al.. (2023). Oxidative stress-initiated one-carbon metabolism drives the generation of interleukin-10-producing B cells to resolve pneumonia. Cellular and Molecular Immunology. 21(1). 19–32. 4 indexed citations
6.
7.
Fu, Ying, et al.. (2022). Immunometabolism shapes B cell fate and functions. Immunology. 166(4). 444–457. 25 indexed citations
8.
Zhou, Lu, Ronghua Liu, Yining Wang, et al.. (2022). Ten‐eleven translocation‐2 inactivation restrains IL‐10‐producing regulatory B cells to enable antitumor immunity in hepatocellular carcinoma. Hepatology. 77(3). 745–759. 33 indexed citations
9.
Fu, Ying, Yuli Lin, Enyu Huang, et al.. (2021). Intestinal CD11b+ B Cells Ameliorate Colitis by Secreting Immunoglobulin A. Frontiers in Immunology. 12. 697725–697725. 16 indexed citations
10.
Wang, Luman, Ying Fu, Xuechao Jiang, et al.. (2020). HSP70, a Novel Regulatory Molecule in B Cell-Mediated Suppression of Autoimmune Diseases. Journal of Molecular Biology. 433(1). 166634–166634. 16 indexed citations
11.
Wang, Luman, Ying Fu, & Yiwei Chu. (2020). Regulatory B Cells. Advances in experimental medicine and biology. 1254. 87–103. 39 indexed citations
12.
Xu, Huanhuan, T.X. Yu, Ying Fu, et al.. (2020). Biosynthesis of Ag nanoparticles and two‐dimensional element distribution in Arabidopsis. IET Nanobiotechnology. 14(4). 325–330. 5 indexed citations
13.
Wang, Yajuan, Changyou Wang, Wei Quan, et al.. (2015). Identification and mapping of PmSE5785, a new recessive powdery mildew resistance locus, in synthetic hexaploid wheat. Euphytica. 207(3). 619–626. 11 indexed citations
14.
Zhang, Hong, Yongzheng Yang, Changyou Wang, et al.. (2014). Large-scale transcriptome comparison reveals distinct gene activations in wheat responding to stripe rust and powdery mildew. BMC Genomics. 15(1). 898–898. 164 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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