Ying Feng

1.8k total citations
75 papers, 1.3k citations indexed

About

Ying Feng is a scholar working on Molecular Biology, Plant Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ying Feng has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 26 papers in Plant Science and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ying Feng's work include Diabetes Treatment and Management (10 papers), Plant and Fungal Species Descriptions (7 papers) and Pharmacological Effects of Natural Compounds (7 papers). Ying Feng is often cited by papers focused on Diabetes Treatment and Management (10 papers), Plant and Fungal Species Descriptions (7 papers) and Pharmacological Effects of Natural Compounds (7 papers). Ying Feng collaborates with scholars based in China, United States and Moldova. Ying Feng's co-authors include Ying Leng, Mengmeng Ning, Jianhua Shen, Suling Huang, Zhiqin Xie, Yuanming Cheng, Wenwu Wu, Yangliang Ye, Yu Shen and Xuexia Zhou and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ying Feng

69 papers receiving 1.3k 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 Feng China 22 682 257 227 211 150 75 1.3k
Martha S. Bianchi Argentina 20 831 1.2× 365 1.4× 105 0.5× 138 0.7× 84 0.6× 67 1.6k
Yuting Lu China 21 624 0.9× 141 0.5× 242 1.1× 56 0.3× 53 0.4× 108 1.4k
Ibrahim A. Aksoy United States 18 893 1.3× 95 0.4× 254 1.1× 239 1.1× 135 0.9× 21 1.6k
Qian Yi China 25 903 1.3× 157 0.6× 204 0.9× 57 0.3× 88 0.6× 92 1.8k
Bruce A. Stanley United States 28 1.6k 2.3× 492 1.9× 67 0.3× 107 0.5× 72 0.5× 63 2.3k
Rita Crinelli Italy 26 1.1k 1.6× 303 1.2× 152 0.7× 24 0.1× 136 0.9× 70 2.0k
Peter F. Smith United States 21 654 1.0× 178 0.7× 215 0.9× 51 0.2× 181 1.2× 33 1.7k
Hongjie Wang China 21 930 1.4× 93 0.4× 138 0.6× 40 0.2× 60 0.4× 67 1.6k
Tsuyoshi Miyake Japan 27 1.2k 1.8× 201 0.8× 397 1.7× 68 0.3× 223 1.5× 65 2.1k
Jonathan Wolf Mueller Germany 21 829 1.2× 155 0.6× 204 0.9× 200 0.9× 82 0.5× 35 1.3k

Countries citing papers authored by Ying Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ying Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Feng. A scholar is included among the top collaborators of Ying Feng 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 Feng. Ying Feng 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.
Abduraimov, Ozodbek, et al.. (2025). A Taxonomic Revision of Artemisia Subgenus Seriphidium (Asteraceae—Anthemideae) in China. Phytotaxa. 686(1). 1–103.
2.
Song, Feng, Ting Li, Hai‐Fei Yan, et al.. (2023). Plant DNA barcode library for native flowering plants in the arid region of northwestern China. Molecular Ecology Resources. 23(6). 1389–1402. 5 indexed citations
3.
Abduraimov, Ozodbek, et al.. (2023). The Main Medicinal Plants in Arid Regions of Uzbekistan and Their Traditional Use in Folk Medicine. Plants. 12(16). 2950–2950. 6 indexed citations
4.
Song, Feng, et al.. (2023). Artemisia qingheensis (Asteraceae, Anthemideae), a new species from Xinjiang, China. PhytoKeys. 229. 229–239. 1 indexed citations
5.
Ye, Yangliang, Ying Feng, Yu Shen, et al.. (2021). SL010110, a lead compound, inhibits gluconeogenesis via SIRT2-p300-mediated PEPCK1 degradation and improves glucose homeostasis in diabetic mice. Acta Pharmacologica Sinica. 42(11). 1834–1846. 13 indexed citations
6.
7.
Liu, Siwen, Suling Huang, Xing‐De Wu, et al.. (2020). Activation of SIK1 by phanginin A inhibits hepatic gluconeogenesis by increasing PDE4 activity and suppressing the cAMP signaling pathway. Molecular Metabolism. 41. 101045–101045. 25 indexed citations
8.
Li, Wen‐Jun, et al.. (2020). Mapping Asia Plants: Current status of floristic information for Central Asian flora. Global Ecology and Conservation. 24. e01220–e01220. 30 indexed citations
9.
Li, Min, Guohong Wang, David K. Ferguson, et al.. (2018). New pollen classification of Chenopodiaceae for exploring and tracing desert vegetation evolution in eastern arid central Asia. Journal of Systematics and Evolution. 57(2). 190–199. 14 indexed citations
10.
Su, Zhihao, et al.. (2018). Isolation and characterization of 18 microsatellites for the invasive native Pedicularis kansuensis (Orobanchaceae). Grassland Science. 65(2). 135–138. 3 indexed citations
11.
Feng, Ying, et al.. (2017). Characterization of the complete chloroplast genome of the Chinese cherry Prunus pseudocerasus (Rosaceae). Conservation Genetics Resources. 10(1). 85–88. 15 indexed citations
12.
Ning, Mengmeng, et al.. (2016). OL3, a novel low-absorbed TGR5 agonist with reduced side effects, lowered blood glucose via dual actions on TGR5 activation and DPP-4 inhibition. Acta Pharmacologica Sinica. 37(10). 1359–1369. 24 indexed citations
13.
Zhou, Xuexia, Wenwu Wu, Li Huang, et al.. (2014). Transcriptome analysis of alternative splicing events regulated by SRSF10 reveals position-dependent splicing modulation. Nucleic Acids Research. 42(6). 4019–4030. 79 indexed citations
14.
Huang, Suling, et al.. (2012). Emodin, an 11β-hydroxysteroid dehydrogenase type 1 inhibitor, regulates adipocyte function in vitro and exerts anti-diabetic effect in ob/ob mice. Acta Pharmacologica Sinica. 33(9). 1195–1203. 39 indexed citations
15.
Li, Fuying, Qingzhang Zhu, Yi Zhang, et al.. (2010). Design, synthesis, and pharmacological evaluation of N-(4-mono and 4,5-disubstituted thiazol-2-yl)-2-aryl-3-(tetrahydro-2H-pyran-4-yl)propanamides as glucokinase activators. Bioorganic & Medicinal Chemistry. 18(11). 3875–3884. 39 indexed citations
16.
Zhang, Xu, Zhou Zhou, Huaiyu Yang, et al.. (2009). 4-(Phenylsulfonamidomethyl)benzamides as potent and selective inhibitors of the 11β-hydroxysteroid dehydrogenase type 1 with efficacy in diabetic ob/ob mice. Bioorganic & Medicinal Chemistry Letters. 19(15). 4455–4458. 13 indexed citations
17.
Feng, Ying, et al.. (2008). Seed Morphology of Calligonum Sect. Eucalligonum (Polygonaceae) in Xinjiang and Its Taxonomic Significance. Plant Diversity. 30(1). 47. 1 indexed citations
18.
Feng, Ying. (2007). Ecological investigation and restoration strategies of spring- and autumn pastures in Yili River valley. Shengtaixue zazhi. 3 indexed citations
19.
Hu, Xi, Ying Feng, Yu Shen, et al.. (2006). Antidiabetic effect of a novel non-thiazolidinedione PPAR ?/? agonist on ob/ob mice. Acta Pharmacologica Sinica. 27(10). 1346–1352. 15 indexed citations
20.
Feng, Ying. (2005). Study on the Diversity of Steppe Types in the Middle Section of Northern Slope of the Tianshan Mountain. Arid Zone Research. 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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