Yang An

13.0k total citations · 3 hit papers
190 papers, 8.8k citations indexed

About

Yang An is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Yang An has authored 190 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Psychiatry and Mental health, 67 papers in Physiology and 37 papers in Cognitive Neuroscience. Recurrent topics in Yang An's work include Dementia and Cognitive Impairment Research (65 papers), Alzheimer's disease research and treatments (45 papers) and Advanced Neuroimaging Techniques and Applications (23 papers). Yang An is often cited by papers focused on Dementia and Cognitive Impairment Research (65 papers), Alzheimer's disease research and treatments (45 papers) and Advanced Neuroimaging Techniques and Applications (23 papers). Yang An collaborates with scholars based in United States, China and United Kingdom. Yang An's co-authors include Susan M. Resnick, Luigi Ferrucci, Alan B. Zonderman, Madhav Thambisetty, Richard O’Brien, Lori L. Beason‐Held, Dean F. Wong, Juan C. Troncoso, Murat Bilgel and Eleanor M. Simonsick and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Yang An

179 papers receiving 8.7k citations

Hit Papers

Hearing loss and cognition in the Baltimore Longitudinal ... 2011 2026 2016 2021 2011 2013 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang An United States 53 3.1k 2.2k 2.1k 1.8k 1.0k 190 8.8k
Ozioma C. Okonkwo United States 54 2.8k 0.9× 3.8k 1.7× 2.0k 1.0× 935 0.5× 909 0.9× 229 9.1k
Sanjay Asthana United States 62 4.8k 1.5× 3.3k 1.5× 1.8k 0.9× 2.9k 1.6× 1.5k 1.5× 293 12.0k
Victor W. Henderson United States 64 2.6k 0.8× 3.4k 1.5× 2.0k 0.9× 1.1k 0.6× 1.1k 1.1× 272 15.4k
Hélène Amieva France 50 2.8k 0.9× 4.1k 1.8× 2.1k 1.0× 678 0.4× 921 0.9× 224 10.3k
Cassandra Szoeke Australia 46 4.2k 1.4× 4.3k 1.9× 1.6k 0.8× 1.0k 0.6× 1.1k 1.1× 166 9.6k
Breno S. Diniz Brazil 52 2.8k 0.9× 3.1k 1.4× 1.2k 0.5× 1.5k 0.8× 1.2k 1.2× 172 8.8k
Nicola T. Lautenschlager Australia 52 3.2k 1.0× 4.7k 2.1× 1.3k 0.6× 795 0.4× 882 0.9× 279 10.5k
Steen Gregers Hasselbalch Denmark 47 2.8k 0.9× 2.2k 1.0× 1.4k 0.7× 1.9k 1.0× 1.0k 1.0× 203 8.9k
Prabha Siddarth United States 44 2.3k 0.7× 3.7k 1.7× 1.8k 0.8× 786 0.4× 597 0.6× 186 7.9k
Michael Ewers Germany 51 3.7k 1.2× 3.9k 1.8× 2.8k 1.3× 1.0k 0.6× 1.9k 1.8× 147 8.8k

Countries citing papers authored by Yang An

Since Specialization
Citations

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

Fields of papers citing papers by Yang An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang An

This figure shows the co-authorship network connecting the top 25 collaborators of Yang An. A scholar is included among the top collaborators of Yang An 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 Yang An. Yang An 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.
Osawa, Yusuke, Yang An, Yukiko Nishita, et al.. (2024). Longitudinal association between muscle and bone loss: Results of US and Japanese cohort studies. Journal of Cachexia Sarcopenia and Muscle. 15(2). 746–755. 8 indexed citations
2.
3.
Singh, Kavita, et al.. (2024). Neuronal microstructural changes in the human brain are associated with neurocognitive aging. Aging Cell. 23(7). e14166–e14166. 9 indexed citations
4.
An, Yang, et al.. (2024). The effectiveness of dry needling for plantar fasciitis: a systematic review and meta-analysis. Frontiers in Neurology. 15. 1520585–1520585.
5.
He, Linchen, Jill A. Rabinowitz, Yang An, et al.. (2024). Age and objectively measured sleep: investigating associations and interactions by sex and race in middle-aged and older adults. SLEEP Advances. 5(1). zpae045–zpae045. 2 indexed citations
6.
Spira, Adam P., Fangyu Liu, Vadim Zipunnikov, et al.. (2024). Evaluating a novel 24-hour rest/activity rhythm marker of preclinical β-amyloid deposition. SLEEP. 47(5). 4 indexed citations
7.
Marino, Francesca, Jennifer A. Deal, Ryan J. Dougherty, et al.. (2024). Differences in Daily Physical Activity by Alzheimer’s Risk Markers Among Older Adults. The Journals of Gerontology Series A. 79(7). 3 indexed citations
8.
Archer, Derek B., Kurt G. Schilling, Elizabeth E. Moore, et al.. (2023). Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(4). e12468–e12468. 6 indexed citations
9.
Walker, Keenan A., Michael R. Duggan, Zhaoyuan Gong, et al.. (2023). MRI and fluid biomarkers reveal determinants of myelin and axonal loss with aging. Annals of Clinical and Translational Neurology. 10(3). 397–407. 14 indexed citations
10.
Paterson, Clare, Zhongsheng Peng, Michael R. Duggan, et al.. (2023). Proteomic Indicators of Health Predict Alzheimer's Disease Biomarker Levels and Dementia Risk. Annals of Neurology. 95(2). 260–273. 11 indexed citations
11.
Shafer, Andrea T., Nicole M. Armstrong, Yang An, et al.. (2023). Associations of baseline and longitudinal change in cerebellum volume with age-related changes in verbal learning and memory. NeuroImage. 272. 120048–120048. 4 indexed citations
12.
Wang, Di, Penghu Wei, Xiaotong Fan, et al.. (2023). Integrative roles of human amygdala subdivisions: Insight from direct intracerebral stimulations via stereotactic EEG. Human Brain Mapping. 44(9). 3610–3623. 11 indexed citations
13.
Betthauser, Tobey J., Murat Bilgel, Rebecca L. Koscik, et al.. (2022). Multi-method investigation of factors influencing amyloid onset and impairment in three cohorts. Brain. 145(11). 4065–4079. 52 indexed citations
14.
Shafer, Andrea T., Owen A. Williams, Yang An, et al.. (2022). Accelerated decline in white matter microstructure in subsequently impaired older adults and its relationship with cognitive decline. Brain Communications. 4(2). fcac051–fcac051. 20 indexed citations
15.
Kuo, Pei‐Lun, Jennifer A. Schrack, Morgan E. Levine, et al.. (2022). Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging. Nature Aging. 2(7). 635–643. 43 indexed citations
16.
Mahajan, Uma V., Vijay R. Varma, Michael Griswold, et al.. (2020). Dysregulation of multiple metabolic networks related to brain transmethylation and polyamine pathways in Alzheimer disease: A targeted metabolomic and transcriptomic study. PLoS Medicine. 17(1). e1003012–e1003012. 112 indexed citations
17.
Varma, Vijay R., Anup Mammen Oommen, Sudhir Varma, et al.. (2018). Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Medicine. 15(1). e1002482–e1002482. 344 indexed citations
18.
Driscoll, Ira, Bronwen Martin, Yang An, et al.. (2012). Plasma BDNF Is Associated with Age-Related White Matter Atrophy but Not with Cognitive Function in Older, Non-Demented Adults. PLoS ONE. 7(4). e35217–e35217. 88 indexed citations
19.
Resnick, Susan M., Mark A. Espeland, Yang An, et al.. (2010). Effects of Conjugated Equine Estrogens on Cognition and Affect in Postmenopausal Women With Prior Hysterectomy. Obstetrical & Gynecological Survey. 65(4). 242–243. 3 indexed citations
20.
Sojkova, Jitka, Lori L. Beason‐Held, Yun Zhou, et al.. (2008). Longitudinal Cerebral Blood Flow and Amyloid Deposition: An Emerging Pattern?. Journal of Nuclear Medicine. 49(9). 1465–1471. 59 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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