Tan Zhao

19 total papers · 1.3k total citations
11 papers, 653 citations indexed

About

Tan Zhao is a scholar working on Physiology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Tan Zhao has authored 11 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Cognitive Neuroscience and 3 papers in Psychiatry and Mental health. Recurrent topics in Tan Zhao's work include Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (3 papers) and China's Socioeconomic Reforms and Governance (2 papers). Tan Zhao is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (3 papers) and China's Socioeconomic Reforms and Governance (2 papers). Tan Zhao collaborates with scholars based in China, United States and Saudi Arabia. Tan Zhao's co-authors include Jianping Jia, Meina Quan, Qi Qin, Longfei Jia, Yi Tang, Qiumin Qu, Yan‐Jiang Wang, Yuchen Qiao, Yue Fu and Cuibai Wei and has published in prestigious journals such as Brain, The Lancet Neurology and Progress in Neurobiology.

In The Last Decade

Tan Zhao

10 papers receiving 648 citations

Hit Papers

Dementia in China: epidem... 2019 2026 2021 2023 2019 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tan Zhao 275 181 104 86 73 11 653
Yuchen Qiao 280 1.0× 167 0.9× 115 1.1× 128 1.5× 74 1.0× 20 742
Mary Ganguli 278 1.0× 205 1.1× 61 0.6× 70 0.8× 75 1.0× 11 779
Emily Sharp 301 1.1× 160 0.9× 58 0.6× 36 0.4× 94 1.3× 15 663
Anish Patel 324 1.2× 113 0.6× 46 0.4× 62 0.7× 42 0.6× 6 753
Marta Mendiondo 171 0.6× 141 0.8× 45 0.4× 63 0.7× 33 0.5× 17 564
Mary Ganguli 386 1.4× 281 1.6× 49 0.5× 69 0.8× 122 1.7× 16 788
Rui‐xia Jia 300 1.1× 202 1.1× 66 0.6× 26 0.3× 89 1.2× 18 793
Ying‐quan Wang 207 0.8× 162 0.9× 53 0.5× 31 0.4× 72 1.0× 12 573
W. C. McCormick 339 1.2× 204 1.1× 61 0.6× 98 1.1× 49 0.7× 11 688
Dawn Pearson 384 1.4× 258 1.4× 101 1.0× 73 0.8× 42 0.6× 9 716

Countries citing papers authored by Tan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Tan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tan Zhao

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

All Works

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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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