Xiaorui Han

2.8k citations
71 papers · 2.1k · h-index 26

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 9
    • Bone Metabolism and Diseases 4
    • RNA Research and Splicing 3
    • Proteoglycans and glycosaminoglycans research 22

Xiaorui Han

66 papers receiving 2.1k citations

Peers

Xiaorui Han
Comparison fields: 5 of 128
  • Critical Care and Intensive Care Medicine 187
  • Cancer Research 500
  • Cell Biology 282
  • Molecular Biology 906
  • Biomaterials 112
Replace Valentina Masola with:
Valentina Masola Italy
Ruud D. Fontijn Netherlands
Giancarlo De Luca Italy
Kai Zhao China
Hong Hong China
Nathalie Charnaux France
Monique P. Gelderman United States
Hari G. Garg United States
Kangkai Wang China
Chan Woo Kim South Korea
Xiaorui Han relative to Valentina Masola Italy Valentina Masola's profile →
Citations per field
00.5×1.5×2.2×
Valentina Masola · 1×
Citations per year

Countries citing papers authored by Xiaorui Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorui Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015202
2 2019143
3 2015128
4 2013109
5 201993
6 201980
7 202078
8 201770
9 202162
10 201759
11 201156
12 201953
13 200852
14 201948
15 201847
16 201845
17 202040
18 201840
19 202036
20 201735

About Xiaorui Han

Xiaorui Han is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Organic Chemistry and Surgery, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (22 papers), Glycosylation and Glycoproteins Research (9 papers), Cancer-related molecular mechanisms research (6 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Bone Metabolism and Diseases (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (187 citations), Cancer Research (500 citations), Cell Biology (282 citations), Molecular Biology (906 citations) and Biomaterials (112 citations). Xiaorui Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Robert J. Linhardt, Zicai Liang, Huiqing Cao, Fuming Zhang, Ke Xia, Xiaoxia Wang, Eric P. Schmidt, Xiao Albert Zhou, Guoju Hong and Yilan Ouyang. Their work appears in journals such as Scientific Reports, Acta Biomaterialia, European Journal of Radiology, American Journal of Respiratory Cell and Molecular Biology and Matrix Biology.

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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