Xiaoyan Han

6.6k citations
213 papers · 4.7k · h-index 35

Impact in

Papers in

    • Genomics and Phylogenetic Studies 10
    • Protein Degradation and Inhibitors 9
    • Advanced biosensing and bioanalysis techniques 8
    • Sepsis Diagnosis and Treatment 8

Xiaoyan Han

205 papers receiving 4.6k citations

Peers

Xiaoyan Han
Comparison fields: 5 of 168
  • Genetics 649
  • Psychiatry and Mental health 465
  • Biological Psychiatry 63
  • Cancer Research 340
  • Hematology 250
Replace Fakher Rahim with:
Fakher Rahim Iran
Margitta Worm Germany
David J. Hackam United States
György Csákó United States
Tatsuo Yamamoto Japan
Michael H. Pillinger United States
Ricardo Machado Xavier Brazil
Toshiaki Shimizu Japan
Paolo Pozzilli Italy
Rupert W. Leong Australia
Xiaoyan Han relative to Fakher Rahim Iran Fakher Rahim's profile →
Citations per field
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Fakher Rahim · 1×
Citations per year

Countries citing papers authored by Xiaoyan Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010463
2 2004285
3 2011239
4 2005145
5 2014130
6 201099
7 201398
8 201791
9 199583
10 201882
11 201382
12 201974
13 201974
14 201771
15 200568
16 201564
17 200862
18 201158
19 201357
20 202057

About Xiaoyan Han

Xiaoyan Han is a scholar working on Molecular Biology, Epidemiology, Hematology, Oncology and Plant Science, having authored 213 papers that have together received 4.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (22 papers), Genomics and Phylogenetic Studies (10 papers), Protein Degradation and Inhibitors (9 papers), HIV/AIDS Research and Interventions (8 papers), Advanced biosensing and bioanalysis techniques (8 papers), Mesenchymal stem cell research (8 papers), Health Literacy and Information Accessibility (8 papers) and Sepsis Diagnosis and Treatment (8 papers). The work is most often cited by research in Genetics (649 citations), Psychiatry and Mental health (465 citations), Biological Psychiatry (63 citations), Cancer Research (340 citations) and Hematology (250 citations). Xiaoyan Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongbo Wei, Yufang Shi, Chunliang Xu, Amy M. Kilbourne, Gretchen L. Haas, Joseph Conigliaro, Harold Alan Pincus, Jack R. Cornelius, Ihsan M. Salloum and Qing Chen. Their work appears in journals such as Blood, PLoS ONE, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Archives of Microbiology and The Journal of Allergy and Clinical Immunology In Practice.

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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