Weiwei Hou

1.4k citations
41 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Weiwei Hou

39 papers receiving 1.0k citations

Peers

Weiwei Hou
Comparison fields: 5 of 111
  • Neurology 143
  • Cellular and Molecular Neuroscience 137
  • Cell Biology 122
  • Developmental Neuroscience 30
  • Physiology 183
Replace Laura Cristina Ceafalan with:
Laura Cristina Ceafalan Romania
Elena Bresciani Italy
Kuo-Sheng Hung Taiwan
Sanghoon Lee South Korea
Necdet Demır Türkiye
Amina El Ayadi United States
Bernat Baeza-Raja United States
Hong Lim Kim South Korea
Oliver Hausmann Switzerland
Dong Huang China
Weiwei Hou relative to Laura Cristina Ceafalan Romania Laura Cristina Ceafalan's profile →
Citations per field
00.5×1.7×
Laura Cristina Ceafalan · 1×
Citations per year

Countries citing papers authored by Weiwei Hou

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weiwei Hou, 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 Weiwei Hou Line = papers co-authored together Weiwei Hou 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 2014214
2 2020207
3 201288
4 201465
5 201262
6 201256
7 201645
8 201340
9 200928
10 201624
11 201423
12 202321
13 201520
14 202220
15 201720
16 201316
17 201816
18 201714
19 202011
20 20168

About Weiwei Hou

Weiwei Hou is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (8 papers), Pain Mechanisms and Treatments (5 papers), Infant Development and Preterm Care (3 papers), Infant Nutrition and Health (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Mast cells and histamine (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Neurology (143 citations), Cellular and Molecular Neuroscience (137 citations), Cell Biology (122 citations), Developmental Neuroscience (30 citations) and Physiology (183 citations). Weiwei Hou has collaborated with scholars based in China, Japan and Denmark. Frequent co-authors include Zhong Chen, Yi Zhou, Denghui Zhang, Weiwei Hu, Chaowei Wang, Bo Wang, Xiangnan Zhang, Haijing Yan, Yao Shen and Zhe Shen. Their work appears in journals such as Archives of Oral Biology, CNS Neuroscience & Therapeutics, Nutrition in Clinical Practice, Pain and Pharmacology.

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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