Ri‐Fang Yang

885 total citations
35 papers, 736 citations indexed

About

Ri‐Fang Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Ri‐Fang Yang has authored 35 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 5 papers in Organic Chemistry. Recurrent topics in Ri‐Fang Yang's work include Receptor Mechanisms and Signaling (9 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Neuroscience and Neuropharmacology Research (6 papers). Ri‐Fang Yang is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Neuroscience and Neuropharmacology Research (6 papers). Ri‐Fang Yang collaborates with scholars based in China, United States and Czechia. Ri‐Fang Yang's co-authors include Rui Song, Yunfeng Li, Jin Li, You‐Zhi Zhang, Nan Zhao, Hongxia Chen, Ning Wu, Zhi-Kun Qiu, Ruibin Su and Liming Zhang and has published in prestigious journals such as Scientific Reports, Journal of Hepatology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Ri‐Fang Yang

35 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ri‐Fang Yang China 18 362 302 155 115 95 35 736
Kohfuku Kohda Japan 13 170 0.5× 305 1.0× 167 1.1× 51 0.4× 106 1.1× 33 682
Maria Antonietta Stasi Italy 16 351 1.0× 361 1.2× 50 0.3× 38 0.3× 68 0.7× 31 814
Xiaolin Zhong China 18 130 0.4× 453 1.5× 127 0.8× 121 1.1× 38 0.4× 48 972
Shiu‐Hwa Yeh Taiwan 9 209 0.6× 240 0.8× 68 0.4× 47 0.4× 188 2.0× 14 594
Thomas Troxler Switzerland 10 180 0.5× 262 0.9× 66 0.4× 48 0.4× 37 0.4× 17 556
Xinyan Huang United States 18 247 0.7× 523 1.7× 70 0.5× 50 0.4× 31 0.3× 30 911
Л. А. Андреева Russia 14 283 0.8× 386 1.3× 132 0.9× 55 0.5× 20 0.2× 198 881
Edna Matta‐Camacho Canada 16 215 0.6× 547 1.8× 28 0.2× 92 0.8× 42 0.4× 21 869
Christopher Baccei United States 14 411 1.1× 307 1.0× 29 0.2× 148 1.3× 135 1.4× 24 816
Ming‐Shiu Hung Taiwan 21 177 0.5× 508 1.7× 45 0.3× 182 1.6× 118 1.2× 36 1.2k

Countries citing papers authored by Ri‐Fang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ri‐Fang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ri‐Fang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ri‐Fang Yang. A scholar is included among the top collaborators of Ri‐Fang 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 Ri‐Fang Yang. Ri‐Fang 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.
Yang, Ri‐Fang, et al.. (2025). PDE4 inhibition alleviates HMGB1/C1q/C3-mediated excessive phagocytic pruning of synapses by microglia and depressive-like behaviors in mice. Brain Behavior and Immunity. 126. 126–143. 2 indexed citations
2.
Li, Zhongtang, Limei Wang, Xiaohui Lin, et al.. (2017). Flucrypyrim, a novel uterine relaxant, has antinociceptive and anti-inflammatory effects in vivo. Scientific Reports. 7(1). 42040–42040. 5 indexed citations
4.
Gou, Hongyan, Fēi Li, Rui Song, et al.. (2016). Y-QA31, a novel dopamine D3 receptor antagonist, exhibits antipsychotic-like properties in preclinical animal models of schizophrenia. Acta Pharmacologica Sinica. 37(3). 322–333. 21 indexed citations
5.
Zhang, Liming, Yulu Wang, Yanqin Liu, et al.. (2016). Antidepressant-like effects of YL-IPA08, a potent ligand for the translocator protein (18 kDa) in chronically stressed rats. Neuropharmacology. 113(Pt A). 567–575. 24 indexed citations
6.
Chen, Ying, Rui Song, Ri‐Fang Yang, Ning Wu, & Jin Li. (2014). A novel dopamine D3 receptor antagonist YQA14 inhibits methamphetamine self-administration and relapse to drug-seeking behaviour in rats. European Journal of Pharmacology. 743. 126–132. 31 indexed citations
7.
Qiu, Zhi-Kun, Liming Zhang, Nan Zhao, et al.. (2013). Repeated administration of AC-5216, a ligand for the 18kDa translocator protein, improves behavioral deficits in a mouse model of post-traumatic stress disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 45. 40–46. 49 indexed citations
8.
Song, Rui, et al.. (2013). The dopamine D3 receptor antagonist YQA14 that inhibits the expression and drug-primed reactivation of morphine-induced conditioned place preference in rats. European Journal of Pharmacology. 720(1-3). 212–217. 25 indexed citations
9.
Zhang, Liming, Nan Zhao, Wenzhi Guo, et al.. (2013). Antidepressant-like and anxiolytic-like effects of YL-IPA08, a potent ligand for the translocator protein (18 kDa). Neuropharmacology. 81. 116–125. 56 indexed citations
10.
Xiao, Zhiyong, Shaohui Chen, Junping Cheng, et al.. (2012). Y27, a novel derivative of 4-hydroxyquinoline-3-formamide, prevents the development of murine systemic lupus erythematosus-like diseases in MRL/lpr autoimmune mice and BDF1 hybrid mice. Arthritis Research & Therapy. 14(6). R235–R235. 7 indexed citations
11.
Xiao, Zhiyong, et al.. (2011). H1521, a novel derivative of 4-hydroxyquinoline-3-carboxamide, suppresses the development of lupus in mice by inducing Th1 cytokine profile in T cells. International Immunopharmacology. 11(4). 435–443. 3 indexed citations
12.
Cheng, Xiaorui, et al.. (2011). The green tea polyphenol (2)-epigallocatechin-3-gallate (EGCG) is not a β-secretase inhibitor. Bioorganic & Medicinal Chemistry Letters. 22(3). 1408–1414. 7 indexed citations
13.
Wang, Yuxia, Ming Yu, Junhua Wu, et al.. (2009). An organophosphorus hapten used in the preparation of monoclonal antibody and as an active immunization vaccine in the detoxication of soman poisoning. Toxicology Letters. 187(1). 45–51. 6 indexed citations
17.
He, Junfeng, Ri‐Fang Yang, Zhiyong Xiao, et al.. (2005). Design, synthesis, and biological evaluation of novel 4-hydro-quinoline-3-carboxamide derivatives as an immunomodulator. Bioorganic & Medicinal Chemistry Letters. 15(12). 2980–2985. 26 indexed citations
18.
Zhou, Jun‐Feng, et al.. (2004). Microwave irradiation promoted synthesis of aryloxy acetic acids. 高等学校化学研究(英文版). 20(2). 213–215. 1 indexed citations
19.
Yang, Ri‐Fang, et al.. (2004). Discovering selective agonists of endothelial target for acetylcholine (ETA) via diversity-guided pharmacophore simplification and simulation. Bioorganic & Medicinal Chemistry Letters. 14(12). 3017–3025. 4 indexed citations
20.
Yang, Ri‐Fang. (2000). Studies on the catalytic antibodies against soman. II. A “pro transition state”hapten strategy generating catalytic antibodies with large rate accelerations in hydrolysis of nerve agent soman. 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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