Yang An

1.0k total citations
9 papers, 692 citations indexed

About

Yang An is a scholar working on Physiology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Yang An has authored 9 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Yang An's work include Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Yang An is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Yang An collaborates with scholars based in United States, United Kingdom and Sweden. Yang An's co-authors include Luigi Ferrucci, Susan M. Resnick, Joshua Oon Soo Goh, Jimit Doshi, Frank R. Lin, Michael A. Kraut, Christos Davatzikos, E. Jeffrey Metter, Madhav Thambisetty and Richard O’Brien and has published in prestigious journals such as NeuroImage, Molecular Psychiatry and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Yang An

7 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang An United States	5	350	237	190	162	106	9	692
Anna Sauerbier United Kingdom	23	228 0.7×	28 0.1×	47 0.2×	133 0.8×	143 1.3×	56	1.6k
Mu-En Liu Taiwan	17	388 1.1×	27 0.1×	21 0.1×	205 1.3×	65 0.6×	32	873
Véronique Latreille United States	12	547 1.6×	37 0.2×	19 0.1×	183 1.1×	67 0.6×	18	1.3k
Frank Tennigkeit Germany	15	396 1.1×	132 0.6×	12 0.1×	78 0.5×	102 1.0×	36	784
Catherine Desjardins Canada	9	496 1.4×	86 0.4×	11 0.1×	127 0.8×	50 0.5×	10	1.1k
Thomas S. Harris United States	18	233 0.7×	22 0.1×	11 0.1×	119 0.7×	76 0.7×	38	657
Jean‐François Gagnon Canada	11	550 1.6×	80 0.3×	10 0.1×	149 0.9×	44 0.4×	20	1.1k
Ayaka Ando Australia	11	112 0.3×	110 0.5×	45 0.2×	294 1.8×	28 0.3×	18	664
Maja Tippmann‐Peikert United States	18	858 2.5×	46 0.2×	18 0.1×	171 1.1×	57 0.5×	31	1.7k
Shady Rahayel Canada	14	316 0.9×	195 0.8×	5 0.0×	133 0.8×	63 0.6×	26	927

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

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Varma, Vijay R., Yang An, Przemysław R. Kac, et al.. (2025). Longitudinal progression of blood biomarkers reveals a key role of reactive astrocytosis in preclinical Alzheimer’s disease. Med. 6(9). 100724–100724. 3 indexed citations

Li, Jiao Jiao, et al.. (2025). A Real-Time Framework for EEG Signal Decoding With Graph Neural Networks and Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 17047–17058.

Bilgel, Murat, Yang An, Keenan A. Walker, et al.. (2024). Comparison of amyloid positron emission tomography, hippocampal volume, and plasma biomarkers in predicting conversion to mild cognitive impairment. Alzheimer s & Dementia. 20(S9).

Walker, Keenan A., Yang An, Abhay Moghekar, et al.. (2024). Proteomic analysis of APOEε4 carriers implicates lipid metabolism, complement and lymphocyte signaling in cognitive resilience. Molecular Neurodegeneration. 19(1). 81–81. 4 indexed citations

Bilgel, Murat, Yang An, Abhay Moghekar, et al.. (2024). Sex differences in the trajectories of plasma biomarkers, brain atrophy, and cognitive decline relative to amyloid onset. Alzheimer s & Dementia. 21(1). e14405–e14405. 3 indexed citations

Kuo, Pei-Lun, Jennifer A. Schrack, Michelle Shardell, et al.. (2020). A roadmap to build a phenotypic metric of ageing: insights from the Baltimore Longitudinal Study of Aging. Journal of Internal Medicine. 287(4). 373–394. 95 indexed citations

Varma, Vijay R., Sudhir Varma, Yang An, et al.. (2016). Alpha-2 macroglobulin in Alzheimer’s disease: a marker of neuronal injury through the RCAN1 pathway. Molecular Psychiatry. 22(1). 13–23. 100 indexed citations

An, Yang, Murat Bilgel, Dean F. Wong, et al.. (2015). Midlife adiposity predicts earlier onset of Alzheimer’s dementia, neuropathology and presymptomatic cerebral amyloid accumulation. Molecular Psychiatry. 21(7). 910–915. 106 indexed citations

Lin, Frank R., Luigi Ferrucci, Yang An, et al.. (2014). Association of hearing impairment with brain volume changes in older adults. NeuroImage. 90. 84–92. 381 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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