Xiaobin Wu

899 citations
48 papers · 641 · h-index 12

Impact in

Papers in

Xiaobin Wu

43 papers receiving 636 citations

Peers

Xiaobin Wu
Comparison fields: 5 of 90
  • Endocrine and Autonomic Systems 43
  • Cellular and Molecular Neuroscience 112
  • Neurology 45
  • Gastroenterology 24
  • Biological Psychiatry 11
Replace Viola Mechírová with:
Viola Mechírová Slovakia
Zhi Xiao China
Marek Pytliak Slovakia
Oksana Dmytriyeva Denmark
Manfred Andratsch Austria
Matthew J. Benskey United States
Solomon H. Snyder United States
Tongmei Zhang China
Reza Ahadi Iran
Homa Manaheji Iran
Xiaobin Wu relative to Viola Mechírová Slovakia Viola Mechírová's profile →
Citations per field
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Viola Mechírová · 1×
Citations per year

Countries citing papers authored by Xiaobin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014156
2 200181
3 202264
4 201752
5 202124
6 201124
7 201923
8 201614
9 201812
10 201912
11 202412
12 202411
13 202211
14 201111
15 201811
16 201510
17 20218
18 20108
19 20238
20 20158

About Xiaobin Wu

Xiaobin Wu is a scholar working on Surgery, Molecular Biology, Oncology, Pharmacology and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 641 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (4 papers), Pancreatic function and diabetes (4 papers), Immunotherapy and Immune Responses (3 papers), Gastric Cancer Management and Outcomes (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (43 citations), Cellular and Molecular Neuroscience (112 citations), Neurology (45 citations), Gastroenterology (24 citations) and Biological Psychiatry (11 citations). Xiaobin Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ying Li, Jiarui Zhu, Chung Owyang, Jianbao Zhang, Wenting He, Zhifang Dong, Tao Tan, Chaojun Zhang, Yu Tian Wang and Zhihao Liang. Their work appears in journals such as Molecular Neurobiology, Lasers in Medical Science, Cancer Letters, Experimental Dermatology and Laboratory Investigation.

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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