Hao Shu

1.3k citations
57 papers · 971 · h-index 21

Impact in

Papers in

Hao Shu

54 papers receiving 962 citations

Peers

Hao Shu
Comparison fields: 5 of 122
  • Cognitive Neuroscience 391
  • Psychiatry and Mental health 280
  • Biological Psychiatry 33
  • Neurology 67
  • Radiology, Nuclear Medicine and Imaging 141
Replace Carlo de Lena with:
Carlo de Lena Italy
Samantha L. Allison United States
Siyi Yu China
Andrew Law Hong Kong
Shumei Li China
Nicole R. Nissim United States
Bang‐Bon Koo United States
Zeping Lv China
Jon Tippin United States
Hao Shu relative to Carlo de Lena Italy Carlo de Lena's profile →
Citations per field
00.5×1.5×2.4×
Carlo de Lena · 1×
Citations per year

Countries citing papers authored by Hao Shu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hao Shu, 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 Hao Shu Line = papers co-authored together Hao Shu 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 201459
2 201653
3 201953
4 201646
5 202345
6 201437
7 202137
8 201634
9 201734
10 201733
11 201532
12 201731
13 201628
14 201626
15 201224
16 201924
17 202323
18 201422
19 202021
20 201821

About Hao Shu

Hao Shu is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Physiology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 57 papers that have together received 971 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Dementia and Cognitive Impairment Research (20 papers), Alzheimer's disease research and treatments (10 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Catalytic Processes in Materials Science (5 papers), Neural dynamics and brain function (5 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (391 citations), Psychiatry and Mental health (280 citations), Biological Psychiatry (33 citations), Neurology (67 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). Hao Shu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Zhijun Zhang, Zan Wang, Duan Liu, Jiu Chen, Chunming Xie, Feng Bai, Duan Liu, Yongmei Shi, Lihua Gu and Shi‐Jiang Li. Their work appears in journals such as Frontiers in Aging Neuroscience, Journal of Alzheimer s Disease, Clinical Neurophysiology, Oncotarget and Brain Imaging and Behavior.

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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