Hengbing Zu

606 citations
29 papers · 455 · h-index 13

Impact in

    • Tryptophan and brain disorders
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

Hengbing Zu

25 papers receiving 449 citations

Peers

Hengbing Zu
Comparison fields: 5 of 77
  • Biological Psychiatry 68
  • Neurology 124
  • Physiology 158
  • Developmental Neuroscience 25
  • Endocrine and Autonomic Systems 34
Replace Seila Fernández-Fernández with:
Seila Fernández-Fernández Spain
Weiguo Dong China
Kenji Kawabe Japan
André F. Batista Brazil
Joseph M. Valentine United States
Julieta Saba Argentina
Paula Fernanda Kinoshita Brazil
Ana Maria Orellana Brazil
Guangrui Luo China
Cristian Gerónimo‐Olvera Mexico
Hengbing Zu relative to Seila Fernández-Fernández Spain Seila Fernández-Fernández's profile →
Citations per field
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Seila Fernández-Fernández · 1×
Citations per year

Countries citing papers authored by Hengbing Zu

Since Specialization
Citations

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

Fields of papers citing papers by Hengbing Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 201936
3 202234
4 201630
5 202125
6 202021
7 201420
8 202319
9 201718
10 202217
11 201915
12 201214
13 202113
14 201612
15 202211
16 201510
17 20158
18 20157
19 20136
20 20235

About Hengbing Zu

Hengbing Zu is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 29 papers that have together received 455 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Tryptophan and brain disorders (5 papers), Cholesterol and Lipid Metabolism (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Circadian rhythm and melatonin (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Biological Psychiatry (68 citations), Neurology (124 citations), Physiology (158 citations), Developmental Neuroscience (25 citations) and Endocrine and Autonomic Systems (34 citations). Hengbing Zu has collaborated with scholars based in China and United States. Frequent co-authors include Kai Yao, Kai Yao, Yongfei Zhao, Jianfeng Zhang, Xiaojing Bai, Lijie Duan, Xiong Lu, Zigao Wang, Yue Huang and Wenbin Wan. Their work appears in journals such as Acta Neuropathologica Communications, Neurochemical Research, Frontiers in Aging Neuroscience, Medicine and Inflammopharmacology.

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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