Shaolin Yang

2.0k citations
63 papers · 1.6k · h-index 23

Impact in

Papers in

Shaolin Yang

60 papers receiving 1.6k citations

Peers

Shaolin Yang
Comparison fields: 5 of 125
  • Radiology, Nuclear Medicine and Imaging 657
  • Cognitive Neuroscience 510
  • Biological Psychiatry 39
  • Biophysics 68
  • Psychiatry and Mental health 131
Replace M. Dylan Tisdall with:
M. Dylan Tisdall United States
Rachel A. Yotter United States
Maolin Qiu United States
John R. Keltner United States
Lazar Fleysher United States
Maged Goubran Canada
Jan Hrabě United States
Luis Hernández-García United States
Lisa D. Nickerson United States
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Citations per field
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Citations per year

Countries citing papers authored by Shaolin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shaolin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaolin Yang, 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 Shaolin Yang Line = papers co-authored together Shaolin Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014204
2 2011109
3 201381
4 201473
5 201568
6 200962
7 201360
8 200858
9 201350
10 201344
11 201542
12 201341
13 201837
14 201635
15 201434
16 200534
17 200634
18 201830
19 201829
20 200625

About Shaolin Yang

Shaolin Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology and Epidemiology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (25 papers), Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Neuroscience and Neuropharmacology Research (5 papers), MRI in cancer diagnosis (3 papers), Advanced NMR Techniques and Applications (3 papers), Neural dynamics and brain function (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (657 citations), Cognitive Neuroscience (510 citations), Biological Psychiatry (39 citations), Biophysics (68 citations) and Psychiatry and Mental health (131 citations). Shaolin Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Olusola Ajilore, Anand Kumar, Melissa Lamar, Aifeng Zhang, Alex Leow, Yihong Yang, Anand Kumar, Xiaohong Joe Zhou, Minjie Wu and Reza Tadayonnejad. Their work appears in journals such as Magnetic Resonance in Medicine, Human Brain Mapping, Molecular Psychiatry, Diabetes and American Journal of Geriatric Psychiatry.

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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