Ting Yan

1.7k citations
57 papers · 962 · h-index 18

Impact in

    • Functional Brain Connectivity Studies
    • Autism Spectrum Disorder Research
    • Neural dynamics and brain function
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Ting Yan

56 papers receiving 950 citations

Peers

Ting Yan
Comparison fields: 5 of 115
  • Cognitive Neuroscience 383
  • Neurology 123
  • Cellular and Molecular Neuroscience 225
  • Psychiatry and Mental health 154
  • Biological Psychiatry 24
Replace Matt Giguere with:
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Ting Yan relative to Matt Giguere United States Matt Giguere's profile →
Citations per field
00.5×11.9×
Matt Giguere · 1×
Citations per year

Countries citing papers authored by Ting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ting Yan Line = papers co-authored together Ting Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022105
2 201978
3 202063
4 202153
5 201148
6 200941
7 202036
8 200633
9 200732
10 201530
11 201926
12 201821
13 200721
14 201920
15 202120
16 201919
17 202218
18 201918
19 201217
20 201017

About Ting Yan

Ting Yan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Molecular Biology, having authored 57 papers that have together received 962 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (17 papers), Neural dynamics and brain function (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neural and Behavioral Psychology Studies (5 papers), Gamma-ray bursts and supernovae (5 papers) and Attention Deficit Hyperactivity Disorder (5 papers). The work is most often cited by research in Cognitive Neuroscience (383 citations), Neurology (123 citations), Cellular and Molecular Neuroscience (225 citations), Psychiatry and Mental health (154 citations) and Biological Psychiatry (24 citations). Ting Yan has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Bin Wang, Stephen P. Hunt, S. Clare Stanford, Jie Xiang, Yi-Zhong Fan, Dandan Li, Ruiyu Wang, Minmin Luo, Rui Lin and Yan Niu. Their work appears in journals such as Brain Imaging and Behavior, Journal of Molecular Modeling, Journal of Attention Disorders, Scientific Reports and The Astrophysical Journal.

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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