Yi‐Ya Fang

965 total citations
10 papers, 439 citations indexed

About

Yi‐Ya Fang is a scholar working on Endocrine and Autonomic Systems, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yi‐Ya Fang has authored 10 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrine and Autonomic Systems, 3 papers in Epidemiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yi‐Ya Fang's work include Eating Disorders and Behaviors (2 papers), Neuroendocrine regulation and behavior (2 papers) and Circadian rhythm and melatonin (2 papers). Yi‐Ya Fang is often cited by papers focused on Eating Disorders and Behaviors (2 papers), Neuroendocrine regulation and behavior (2 papers) and Circadian rhythm and melatonin (2 papers). Yi‐Ya Fang collaborates with scholars based in Taiwan, United States and South Korea. Yi‐Ya Fang's co-authors include Dayu Lin, Nicolas X. Tritsch, Takashi Yamaguchi, Soomin C. Song, Chien‐Yuan Pan, Tsung‐Wu Lin, Chih‐Lung Lin, Chia‐Chang Tsai, Yit‐Tsong Chen and S. Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Yi‐Ya Fang

7 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi‐Ya Fang Taiwan	6	152	93	89	85	80	10	439
Sayaka Inoue Japan	9	166 1.1×	58 0.6×	25 0.3×	75 0.9×	154 1.9×	27	501
Takashi Tsutsumi Japan	18	92 0.6×	166 1.8×	71 0.8×	50 0.6×	167 2.1×	74	899
Karen J. Tonsfeldt United States	15	109 0.7×	29 0.3×	117 1.3×	234 2.8×	222 2.8×	33	819
Nader S. Dahdaleh United States	10	103 0.7×	78 0.8×	43 0.5×	147 1.7×	204 2.5×	20	895
Sandra Rubio Spain	15	77 0.5×	89 1.0×	45 0.5×	33 0.4×	52 0.7×	37	608
Giulia Castellani Israel	10	187 1.2×	89 1.0×	95 1.1×	49 0.6×	123 1.5×	14	713
Adrian M. Gomez United States	14	96 0.6×	81 0.9×	163 1.8×	60 0.7×	302 3.8×	20	857
Melodi Anahtar United States	5	174 1.1×	117 1.3×	30 0.3×	33 0.4×	144 1.8×	5	683
Michaela Ruttorf Germany	17	76 0.5×	148 1.6×	66 0.7×	16 0.2×	83 1.0×	28	871

Countries citing papers authored by Yi‐Ya Fang

Since Specialization

Citations

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

Fields of papers citing papers by Yi‐Ya Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Ya Fang

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

All Works

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10 of 10 papers shown

Lee, Jia‐In, et al.. (2025). Abdominal Obesity Indices as Predictors of Psychiatric Morbidity in a Large-Scale Taiwanese Cohort. Nutrients. 18(1). 13–13.

Fang, Yi‐Ya, et al.. (2025). Efficacy of opioid antagonist in patients with binge eating behavior: A systemic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 172. 106108–106108.

Fang, Yi‐Ya, et al.. (2023). Effect of a novel telehealth device for dietary cognitive behavioral intervention in overweight or obesity care. Scientific Reports. 13(1). 6441–6441. 5 indexed citations

Fang, Yi‐Ya, Anna Shin, S. Park, et al.. (2019). Rapid, biphasic CRF neuronal responses encode positive and negative valence. Nature Neuroscience. 22(4). 576–585. 94 indexed citations

Lin, Hsiang‐Yu, Chih‐Kuang Chuang, Chung‐Lin Lee, et al.. (2018). Mucopolysaccharidosis III in Taiwan: Natural history, clinical and molecular characteristics of 28 patients diagnosed during a 21‐year period. American Journal of Medical Genetics Part A. 176(9). 1799–1809. 23 indexed citations

Chuang, Chih‐Kuang, Hsiang‐Yu Lin, Hsuan-Chieh Liao, et al.. (2018). Status of newborn screening and follow up investigations for Mucopolysaccharidoses I and II in Taiwan. Orphanet Journal of Rare Diseases. 13(1). 84–84. 51 indexed citations

Fang, Yi‐Ya, Takashi Yamaguchi, Soomin C. Song, Nicolas X. Tritsch, & Dayu Lin. (2018). A Hypothalamic Midbrain Pathway Essential for Driving Maternal Behaviors. Neuron. 98(1). 192–207.e10. 157 indexed citations

Lin, Hsiang‐Yu, Chih‐Kuang Chuang, Yi‐Ya Fang, et al.. (2016). Epigenotype, genotype, and phenotype analysis of patients in Taiwan with Beckwith–Wiedemann syndrome. Molecular Genetics and Metabolism. 119(1-2). 8–13. 8 indexed citations

Fang, Yi‐Ya, et al.. (2013). Sensitivity and specificity of in vitro diagnostic device used for influenza rapid test in Taiwan. Journal of Food and Drug Analysis. 22(2). 279–284.

10.

Lin, Tsung‐Wu, Chih‐Lung Lin, Yi‐Ya Fang, et al.. (2009). Label-free detection of protein-protein interactions using a calmodulin-modified nanowire transistor. Proceedings of the National Academy of Sciences. 107(3). 1047–1052. 101 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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