Fang Han

556 total citations
21 papers, 337 citations indexed

About

Fang Han is a scholar working on Physiology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fang Han has authored 21 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 7 papers in Endocrine and Autonomic Systems and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fang Han's work include Obstructive Sleep Apnea Research (9 papers), Neuroscience of respiration and sleep (7 papers) and Respiratory Support and Mechanisms (4 papers). Fang Han is often cited by papers focused on Obstructive Sleep Apnea Research (9 papers), Neuroscience of respiration and sleep (7 papers) and Respiratory Support and Mechanisms (4 papers). Fang Han collaborates with scholars based in China, United States and Japan. Fang Han's co-authors include Kingman P. Strohl, Quan-ying He, Charles F. George, Daniel B. Brown, Kevin C. Wilson, Atul Malhotra, Allan I Pack, Nancy A. Collop, Ronald R. Grunstein and Lawrence E. Kline and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Journal of Applied Physiology.

In The Last Decade

Fang Han

17 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Han China 9 175 147 121 74 62 21 337
Fariborz Rezaeitalab Iran 11 205 1.2× 138 0.9× 57 0.5× 133 1.8× 85 1.4× 41 369
Shigeki Sakuraba Japan 11 62 0.4× 111 0.8× 78 0.6× 20 0.3× 48 0.8× 28 292
Weimin Kang Canada 5 288 1.6× 189 1.3× 154 1.3× 64 0.9× 75 1.2× 7 367
Neus Salord Spain 13 350 2.0× 248 1.7× 173 1.4× 95 1.3× 109 1.8× 26 487
Sun‐Wung Hsieh Taiwan 9 103 0.6× 46 0.3× 42 0.3× 33 0.4× 47 0.8× 29 275
Marta Fernandez‐Bolaños France 9 196 1.1× 187 1.3× 149 1.2× 119 1.6× 101 1.6× 11 382
Sarah Nath Zallek United States 10 190 1.1× 116 0.8× 49 0.4× 95 1.3× 97 1.6× 13 343
Margot Roozekrans Netherlands 9 66 0.4× 121 0.8× 41 0.3× 17 0.2× 32 0.5× 11 374
Eveli Truksinas Brazil 8 312 1.8× 213 1.4× 115 1.0× 90 1.2× 94 1.5× 10 359
Jesse Mindel United States 8 183 1.0× 115 0.8× 64 0.5× 121 1.6× 92 1.5× 15 344

Countries citing papers authored by Fang Han

Since Specialization
Citations

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

Fields of papers citing papers by Fang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Han. A scholar is included among the top collaborators of Fang Han 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 Fang Han. Fang Han 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.
Zuo, Yuhua, Mengmeng Wang, Meng‐Shun Sun, et al.. (2025). Social jetlag and obstructive sleep apnea severity: A retrospective study based on polysomnography. Sleep Medicine. 134. 106722–106722.
2.
Wu, Shuai, Yi You, Chengming Li, et al.. (2025). Highly uniform aptamer monolayers modified silicon nanowire field-effect transistor biosensors for the detection of melatonin as sleep disorder biomarker. Sensors and Actuators B Chemical. 449. 139166–139166.
3.
Su, Zhengquan, et al.. (2025). The association between different insulin resistance indexes and bone health in the elderly. PLoS ONE. 20(2). e0318356–e0318356.
4.
Yang, Xingyue, Yiyang Xu, Fang Han, et al.. (2023). Patients’ expectancy scale of acupuncture: Development and clinical performance test. Complementary Therapies in Clinical Practice. 53. 101797–101797. 3 indexed citations
5.
Yu, Ying, Fang Han, & Qingyun Wang. (2022). Exploring phase–amplitude coupling from primary motor cortex-basal ganglia–thalamus network model. Neural Networks. 153. 130–141. 22 indexed citations
6.
Han, Fang, et al.. (2021). Efficacy and Safety of Panax Notoginseng Saponins (Xueshuantong) in Patients With Acute Ischemic Stroke (EXPECT) Trial: Rationale and Design. Frontiers in Pharmacology. 12. 648921–648921. 15 indexed citations
7.
Wang, Xiaofang, et al.. (2021). Genotype-Phenotype Analysis and Mutation Spectrum in a Cohort of Chinese Patients With Congenital Nystagmus. Frontiers in Cell and Developmental Biology. 9. 627295–627295. 4 indexed citations
8.
Han, Fang, Tyler Bonnett, Willa D. Brenowitz, et al.. (2020). Estimating associations between antidepressant use and incident mild cognitive impairment in older adults with depression. PLoS ONE. 15(1). e0227924–e0227924. 10 indexed citations
9.
Han, Fang, et al.. (2019). [Cluster analysis and significance of clinical subtypes in patients with obstructive sleep apnea hypopnea syndrome].. PubMed. 99(28). 2176–2181. 1 indexed citations
10.
Brenowitz, Willa D., Fang Han, Walter A. Kukull, & Peter T. Nelson. (2017). Treated hypothyroidism is associated with cerebrovascular disease but not Alzheimer's disease pathology in older adults. Neurobiology of Aging. 62. 64–71. 20 indexed citations
11.
Han, Fang, Zhao Jian-jun, Hui Zhang, et al.. (2016). Zhengtian Capsule versus flunarizine in patients with migraine: a multi-center, double-blind, double-dummy, randomized controlled, non-inferior clinical trial. BMC Complementary and Alternative Medicine. 16(1). 356–356. 10 indexed citations
12.
Darrah, Rebecca, Thomas E. Dick, Michael W. Moore, et al.. (2016). C57BL/6J mouse apolipoprotein A2 gene is deterministic for apnea. Respiratory Physiology & Neurobiology. 235. 88–94. 5 indexed citations
13.
Esquinas, António M., Raffaele Scala, Peter C. Gay, et al.. (2014). Noninvasive mechanical ventilation in high-risk pulmonary infections: a clinical review. European Respiratory Review. 23(134). 427–438. 34 indexed citations
15.
Strohl, Kingman P., Daniel B. Brown, Nancy A. Collop, et al.. (2013). An Official American Thoracic Society Clinical Practice Guideline: Sleep Apnea, Sleepiness, and Driving Risk in Noncommercial Drivers. An Update of a 1994 Statement. American Journal of Respiratory and Critical Care Medicine. 187(11). 1259–1266. 122 indexed citations
16.
Brown, Daniel B., Fang Han, Charles F. George, et al.. (2013). An Official American Thoracic Society Clinical Practice Guideline: Sleep Apnea, Sleepiness, and Driving Risk in Noncommercial Drivers A 2012 Update. 9 indexed citations
17.
Wang, Huiling, et al.. (2013). [Daytime hypercapnia in patients with obstructive sleep apnea hypopnea syndrome].. PubMed. 36(7). 490–2. 1 indexed citations
18.
Han, Fang. (2007). The utility of nasal pressure sensor recordings in the diagnosis of sleep disordered breathing.
19.
Han, Fang, et al.. (2001). Treatment Effects on Carbon Dioxide Retention in Patients With Obstructive Sleep Apnea-Hypopnea Syndrome. CHEST Journal. 119(6). 1814–1819. 68 indexed citations
20.
Han, Fang, et al.. (1999). [The role of breathing control disorder in the development of carbon dioxide retention in patients with obesity hypoventilation syndrome].. PubMed. 38(7). 466–9. 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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