Furong Yan

629 total citations
29 papers, 454 citations indexed

About

Furong Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Furong Yan has authored 29 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Furong Yan's work include Metabolomics and Mass Spectrometry Studies (6 papers), Single-cell and spatial transcriptomics (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). Furong Yan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Single-cell and spatial transcriptomics (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). Furong Yan collaborates with scholars based in China, United States and New Zealand. Furong Yan's co-authors include Yiming Zeng, Hong Zhao, Xiangdong Wang, Linlin Zhang, Jiapei Lv, Hongzhi Gao, Limei Huang, Madhav Bhatia, Duojiao Wu and Xiangdong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Seminars in Cell and Developmental Biology and Advances in experimental medicine and biology.

In The Last Decade

Furong Yan

28 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Furong Yan China 12 267 109 90 82 37 29 454
Ravinder Reddy Gaddam United States 14 207 0.8× 65 0.6× 43 0.5× 90 1.1× 9 0.2× 26 543
Tengjiao Cui United States 12 216 0.8× 36 0.3× 53 0.6× 33 0.4× 14 0.4× 18 500
Masahiko Shigemura United States 13 189 0.7× 112 1.0× 183 2.0× 44 0.5× 8 0.2× 30 496
Gourav Bhardwaj United States 15 311 1.2× 125 1.1× 17 0.2× 36 0.4× 70 1.9× 24 537
Mary T. Doan United States 10 421 1.6× 182 1.7× 27 0.3× 100 1.2× 11 0.3× 19 722
Bin Ni China 12 237 0.9× 69 0.6× 117 1.3× 124 1.5× 8 0.2× 35 564
Michelle Mullins United States 5 127 0.5× 66 0.6× 25 0.3× 118 1.4× 26 0.7× 7 337
Jean‐Charles Sanchez Switzerland 7 221 0.8× 89 0.8× 75 0.8× 15 0.2× 103 2.8× 7 410
Louise Østergaard Switzerland 9 204 0.8× 91 0.8× 176 2.0× 128 1.6× 5 0.1× 12 477
Huawei Wang China 10 148 0.6× 36 0.3× 52 0.6× 30 0.4× 10 0.3× 23 337

Countries citing papers authored by Furong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Furong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Furong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Furong Yan. A scholar is included among the top collaborators of Furong Yan 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 Furong Yan. Furong Yan 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.
Shi, Chunfeng, et al.. (2024). Phospholipid and glycerolipid metabolism as potential diagnostic biomarkers for acute pancreatitis. Lipids in Health and Disease. 23(1). 223–223. 6 indexed citations
2.
Yan, Furong, et al.. (2024). Exosomes derived from ITGB1 modified Telocytes alleviates LPS-induced inflammation and oxidative stress through YAP1/ROS axis. Heliyon. 10(5). e27086–e27086. 7 indexed citations
3.
Yan, Furong, Dongli Song, Yiming Zeng, et al.. (2024). Integration of clinical phenoms and metabolomics facilitates precision medicine for lung cancer. Cell Biology and Toxicology. 40(1). 25–25. 6 indexed citations
4.
Yan, Furong, et al.. (2024). Targeting glutamate metabolism in chronic lung diseases. SHILAP Revista de lepidopterología. 4(2). 5 indexed citations
5.
Yan, Furong, Linlin Zhang, Lian Duan, et al.. (2024). Roles of glutamic pyruvate transaminase 2 in reprogramming of airway epithelial lipidomic and metabolomic profiles after smoking. Clinical and Translational Medicine. 14(5). e1679–e1679. 6 indexed citations
6.
Guo, Yuanyuan, et al.. (2023). Chances and challenges in intranasal administration delivery for brain disease treatment. SHILAP Revista de lepidopterología. 3(6). 11 indexed citations
7.
Zhang, Linlin, Yifei Liu, Furong Yan, et al.. (2023). Lysophosphatidylcholine inhibits lung cancer cell proliferation by regulating fatty acid metabolism enzyme long‐chain acyl‐coenzyme A synthase 5. Clinical and Translational Medicine. 13(1). e1180–e1180. 23 indexed citations
8.
Dai, Xiaofang, et al.. (2023). Novel lipidomes profile and clinical phenotype identified in pneumoconiosis patients. Journal of Health Population and Nutrition. 42(1). 55–55. 6 indexed citations
10.
Zhang, Yaping, et al.. (2022). Potential of Mesenchymal Stem Cell-Based Therapies for Pulmonary Fibrosis. DNA and Cell Biology. 41(11). 951–965. 10 indexed citations
11.
Zheng, Nannan, Ying Yang, Yifei Liu, et al.. (2022). Regulatory roles of NAT10 in airway epithelial cell function and metabolism in pathological conditions. Cell Biology and Toxicology. 39(4). 1237–1256. 4 indexed citations
12.
Chen, Xiaoyang, et al.. (2020). DNA Methylation in Chronic Obstructive Pulmonary Disease. Advances in experimental medicine and biology. 1255. 83–98. 7 indexed citations
13.
Yan, Furong, et al.. (2019). Increased caveolin‐1 expression enhances the receptor‐operated Ca2+ entry in the aorta of two‐kidney, one‐clip hypertensive rats. Experimental Physiology. 104(6). 932–945. 5 indexed citations
14.
Ko, Chih‐Yuan, Dylan Chou, Limei Huang, et al.. (2019). Analysis of oral microbiota in patients with obstructive sleep apnea-associated hypertension. Hypertension Research. 42(11). 1692–1700. 42 indexed citations
15.
Yan, Furong, et al.. (2018). The Significance of Single-Cell Biomedicine in Stem Cells. Advances in experimental medicine and biology. 1068. 187–195. 2 indexed citations
16.
Yan, Furong, Hongzhi Gao, Hong Zhao, Madhav Bhatia, & Yiming Zeng. (2018). Roles of airway smooth muscle dysfunction in chronic obstructive pulmonary disease. Journal of Translational Medicine. 16(1). 262–262. 45 indexed citations
17.
Yan, Furong, Xiangdong Wang, & Yiming Zeng. (2018). 3D genomic regulation of lncRNA and Xist in X chromosome. Seminars in Cell and Developmental Biology. 90. 174–180. 16 indexed citations
18.
Yan, Furong, Hong Zhao, & Yiming Zeng. (2018). Lipidomics: a promising cancer biomarker. Clinical and Translational Medicine. 7(1). 21–21. 59 indexed citations
19.
Yan, Furong, et al.. (2017). [Comparison of the synchronous changes of vascular tension and intracellular Ca2+ signal in third-order branches of mesenteric arteries under the different objective amplification of confocal microscope].. PubMed. 69(6). 785–793. 2 indexed citations
20.
Yan, Furong, et al.. (2016). Alterations in Caveolin-1 Expression and Receptor-Operated Ca2+ Entry in the Aortas of Rats with Pulmonary Hypertension. Cellular Physiology and Biochemistry. 39(2). 438–452. 12 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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