Xiao Yang

2.5k citations
85 papers · 1.8k · h-index 23

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Epigenetics and DNA Methylation 4
    • Photosynthetic Processes and Mechanisms 4
    • Immune Cell Function and Interaction 16
    • Immune cells in cancer 9
    • T-cell and B-cell Immunology 8

Xiao Yang

76 papers receiving 1.8k citations

Peers

Xiao Yang
Comparison fields: 5 of 112
  • Immunology 620
  • Hematology 144
  • Virology 58
  • Oncology 298
  • Physiology 48
Replace Kyoko Yokota with:
Kyoko Yokota Japan
Yongjun Yu China
Christopher E. Andoniou Australia
Mikhail Shugay Russia
Christophe Arpin France
Wolfram Osen Germany
Monique Gannagé Switzerland
Wendy G. Tan United States
Masayuki Kuraoka United States
David A. Savitsky United States
Xiao Yang relative to Kyoko Yokota Japan Kyoko Yokota's profile →
Citations per field
00.5×10×13.1×
Kyoko Yokota · 1×
Citations per year

Countries citing papers authored by Xiao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014223
2 2012140
3 2010115
4 201390
5 201784
6 201372
7 201266
8 201965
9 200864
10 201550
11 201449
12 201545
13 201844
14 201541
15 201534
16 202033
17 202128
18 202028
19 201028
20 201628

About Xiao Yang

Xiao Yang is a scholar working on Molecular Biology, Immunology, Epidemiology, Hematology and Oceanography, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Immune cells in cancer (9 papers), T-cell and B-cell Immunology (8 papers), Adenosine and Purinergic Signaling (5 papers), Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Immunology (620 citations), Hematology (144 citations), Virology (58 citations), Oncology (298 citations) and Physiology (48 citations). Xiao Yang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Michael C. Zody, Guoguang Zheng, Srinivas Aluru, Karin S. Dorman, Wenli Feng, Lina Wang, Matthew R. Henn, Patrick Charlebois, Feifei Yang and Qian Ren. Their work appears in journals such as Plant Physiology and Biochemistry, Journal of Virology, Human Immunology, Scientific Reports and Bioinformatics.

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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