Xiao‐Dong Hu

899 citations
45 papers · 709 · h-index 17

Impact in

Papers in

Xiao‐Dong Hu

45 papers receiving 703 citations

Peers

Xiao‐Dong Hu
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 329
  • Physiology 356
  • Biological Psychiatry 33
  • Behavioral Neuroscience 21
  • Neurology 46
Replace Tatiana Adasme with:
Tatiana Adasme Chile
Lingyong Li United States
Fei Cao China
Catia Giordano Italy
Wenbo Zhang China
Olga Kopach United Kingdom
Zhan‐Wei Suo China
Ao‐Ji Xie China
Anne Rémaury France
Annika Vaarmann Estonia
Xiao‐Dong Hu relative to Tatiana Adasme Chile Tatiana Adasme's profile →
Citations per field
00.5×1.6×
Tatiana Adasme · 1×
Citations per year

Countries citing papers authored by Xiao‐Dong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Dong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201062
2 200756
3 200956
4 201142
5 201535
6 202333
7 201131
8 202329
9 201328
10 202021
11 201920
12 201320
13 201419
14 201719
15 201818
16 201918
17 201316
18 201816
19 201414
20 201814

About Xiao‐Dong Hu

Xiao‐Dong Hu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Civil and Structural Engineering and Cognitive Neuroscience, having authored 45 papers that have together received 709 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (29 papers), Neuroscience and Neuropharmacology Research (18 papers), Ion channel regulation and function (16 papers), Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (3 papers), Neurobiology and Insect Physiology Research (3 papers), Nanomaterials for catalytic reactions (2 papers) and Surface Modification and Superhydrophobicity (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (329 citations), Physiology (356 citations), Biological Psychiatry (33 citations), Behavioral Neuroscience (21 citations) and Neurology (46 citations). Xiao‐Dong Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xian Yang, Zhan‐Wei Suo, Hongbin Yang, Yanni Liu, Houhui Xia, Shuai Li, Jing Cao, Qing Huang, Xiaohua Liu and Jiangping Liu. Their work appears in journals such as Neuropharmacology, European Journal of Pharmacology, Neuroscience, Pain and Journal of Neuroscience.

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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