Xiaorui Han

2.8k citations
71 papers · 2.2k · h-index 27

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 2.2k citations

Peers

Xiaorui Han
Comparison fields: 5 of 129
  • Critical Care and Intensive Care Medicine 190
  • Cancer Research 504
  • Cell Biology 290
  • Molecular Biology 927
  • Biomaterials 116
Replace Valentina Masola with:
Valentina Masola Italy
Kai Zhao China
Nathalie Charnaux France
Chan Woo Kim South Korea
Ruud D. Fontijn Netherlands
Hari G. Garg United States
Peng Xu China
Hong Hong China
Monique P. Gelderman United States
Anne Krüger‐Genge Germany
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 2015205
2 2019144
3 2015130
4 2013111
5 201994
6 201981
7 202078
8 201773
9 202162
10 201160
11 201760
12 200853
13 201953
14 201948
15 201847
16 201847
17 201847
18 202040
19 201336
20 202036

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 2.2k 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 (190 citations), Cancer Research (504 citations), Cell Biology (290 citations), Molecular Biology (927 citations) and Biomaterials (116 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, Eric P. Schmidt, Xiaoxia Wang, Xiao Albert Zhou, Yilan Ouyang and Wei He. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Scientific Reports, Matrix Biology, Acta Biomaterialia and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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