Paul Yao

1.3k citations
46 papers · 1.0k · h-index 20

Impact in

Papers in

Paul Yao

44 papers receiving 1.0k citations

Peers

Paul Yao
Comparison fields: 5 of 103
  • Rehabilitation 141
  • Geriatrics and Gerontology 42
  • Cognitive Neuroscience 193
  • Obstetrics and Gynecology 56
  • Biological Psychiatry 17
Replace Merly C. Vogt with:
Merly C. Vogt United States
Feng Zhou China
Xiao Luo China
Khalid A. Fakhro Qatar
Johanna L. Barclay Australia
Andrea Mesaros Germany
Carol Huang Canada
Richard L. Bradley United States
Kiymet Bozaoglu Australia
Jay S. Charleston United States
Paul Yao relative to Merly C. Vogt United States Merly C. Vogt's profile →
Citations per field
00.5×8.0×
Merly C. Vogt · 1×
Citations per year

Countries citing papers authored by Paul Yao

Since Specialization
Citations

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

Fields of papers citing papers by Paul Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 202082
3 201972
4 199960
5 201750
6 201848
7 201643
8 201943
9 201839
10 201837
11 201736
12 202029
13 202023
14
Rethinking autism: the impact of maternal risk factors on autism development.
202223
15 202022
16 202222
17 201920
18 202020
19 202019
20 202019

About Paul Yao

Paul Yao is a scholar working on Cognitive Neuroscience, Molecular Biology, Immunology, Genetics and Rehabilitation, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (16 papers), Genetics and Neurodevelopmental Disorders (6 papers), Wound Healing and Treatments (5 papers), Reproductive System and Pregnancy (5 papers), Endometriosis Research and Treatment (4 papers), Ubiquitin and proteasome pathways (4 papers), Neuroendocrine regulation and behavior (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Rehabilitation (141 citations), Geriatrics and Gerontology (42 citations), Cognitive Neuroscience (193 citations), Obstetrics and Gynecology (56 citations) and Biological Psychiatry (17 citations). Paul Yao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiguo Xie, Xiaodong Huang, Zhigang Chu, Ling Li, Yujie Liang, Qiongfang Ruan, Jianping Lu, Hongyu Zhang, Xueqing Zhou and Thomas Hovestadt. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Psychiatry, Burns, Oncotarget and Annals of the New York Academy of Sciences.

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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