Mo Hu

38 papers receiving 505 citations

Peers

Mo Hu
Comparison fields: 5 of 116
  • Experimental and Cognitive Psychology 91
  • Nephrology 46
  • Cognitive Neuroscience 73
  • Health Informatics 5
  • Cardiology and Cardiovascular Medicine 78
Replace Thomas Bär with:
Thomas Bär Germany
M. Giordano Italy
Junichi Yagi Japan
Changjian Zheng China
Nuno F. Rodrigues Portugal
David He Canada
Stefan Lang Canada
Wendy Zhang United States
Lisa Lee United States
Jae‐Young Han South Korea
Mo Hu relative to Thomas Bär Germany Thomas Bär's profile →
Citations per field
00.5×3.3×
Thomas Bär · 1×
Citations per year

Countries citing papers authored by Mo Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mo Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 202176
3 201935
4 202029
5 201926
6 201926
7 202022
8 202121
9 201520
10 202018
11 201818
12
A CAPE analogue as novel antiplatelet agent efficiently inhibits collagen-induced platelet aggregation.
201415
13 202114
14 201814
15 202113
16 201812
17 20238
18 20188
19 20217
20 20206

About Mo Hu

Mo Hu is a scholar working on Mechanical Engineering, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Cognitive Neuroscience and Molecular Biology, having authored 41 papers that have together received 512 indexed citations. Recurring topics across this work include Design Education and Practice (10 papers), Creativity in Education and Neuroscience (7 papers), Cardiovascular Function and Risk Factors (7 papers), Cognitive Science and Mapping (5 papers), Noise Effects and Management (3 papers), Sustainable Building Design and Assessment (3 papers), Complex Systems and Decision Making (3 papers) and Environmental Education and Sustainability (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (91 citations), Nephrology (46 citations), Cognitive Neuroscience (73 citations), Health Informatics (5 citations) and Cardiology and Cardiovascular Medicine (78 citations). Mo Hu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tripp Shealy, John S. Gero, Julie Milovanovic, Sanjiv J. Shah, Robin Panneton, Jacob Grohs, Paula Parra-Bueno, Michael Leitges, Ryohei Yasuda and Lesley A. Colgan. Their work appears in journals such as Journal of Neurology, Design Science, Multiple Sclerosis and Related Disorders, Circulation Cardiovascular Imaging and Nature Communications.

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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