Yuan Xia

1.1k citations
54 papers · 748 · h-index 17

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Inflammasome and immune disorders 5
    • Epigenetics and DNA Methylation 3
    • Multiple Myeloma Research and Treatments 4
    • Hematopoietic Stem Cell Transplantation 3

Yuan Xia

50 papers receiving 744 citations

Peers

Yuan Xia
Comparison fields: 5 of 93
  • Neurology 91
  • Immunology 166
  • Cancer Research 101
  • Nephrology 47
  • Hematology 69
Replace Lana Corbo with:
Lana Corbo United States
Xiaojin Sha United States
Nobuo Koike United States
Angela Djanani Austria
Michele Scuruchi Italy
Rongchen Shi China
Nicholas A. Young United States
Jiongyu Hu China
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Yuan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 202355
3 202352
4 201848
5 201932
6 202329
7 201828
8 201727
9 202225
10 201324
11 201521
12 201521
13 202421
14 202219
15 202118
16 202317
17 201517
18 202215
19 201612
20 202312

About Yuan Xia

Yuan Xia is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Rheumatology, having authored 54 papers that have together received 748 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), CAR-T cell therapy research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Gastrointestinal motility and disorders (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Systemic Lupus Erythematosus Research (3 papers), Epigenetics and DNA Methylation (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Neurology (91 citations), Immunology (166 citations), Cancer Research (101 citations), Nephrology (47 citations) and Hematology (69 citations). Yuan Xia has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Xiaomei Li, Xuan Fang, Xiang-Pei Li, Jin‐Hui Tao, Zhangjie Wang, Na Shen, Lei Shen, Jianlin Qiao, Lingyu Zeng and Kailin Xu. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Frontiers in Oncology, Advanced Science and International Immunopharmacology.

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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