L.‐X. Yan

509 citations
55 papers · 353 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Reproductive System and Pregnancy
    • IL-33, ST2, and ILC Pathways
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • Immune Cell Function and Interaction 52
    • T-cell and B-cell Immunology 51
    • Immunotherapy and Immune Responses 45
    • Immunodeficiency and Autoimmune Disorders 3
    • Eosinophilic Disorders and Syndromes 2

L.‐X. Yan

53 papers receiving 337 citations

Peers

L.‐X. Yan
Comparison fields: 5 of 30
  • Immunology 347
  • Transplantation 15
  • Hematology 43
  • Epidemiology 35
  • Physiology 3
Replace W. Zhang with:
W. Zhang China
C. C. Chu Taiwan
Maria Loginova Russia
H.‐Y. Zou China
Lynn D Maxwell United Kingdom
Henny Braund United Kingdom
Peter S. Linsley United States
Jérémy Bigot France
M Y Olsson-Alheim Sweden
Aly Abdel‐Mageed United States
L.‐X. Yan relative to W. Zhang China W. Zhang's profile →
Citations per field
00.5×1.7×
W. Zhang · 1×
Citations per year

Countries citing papers authored by L.‐X. Yan

Since Specialization
Citations

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

Fields of papers citing papers by L.‐X. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.‐X. Yan. 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 L.‐X. Yan. The network helps show where L.‐X. Yan may publish in the future.

Co-authors

The 18 scholars most cited alongside L.‐X. Yan, 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 L.‐X. Yan Line = papers co-authored together L.‐X. Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005108
2 201119
3 200918
4 200613
5 200913
6 20119
7 20059
8 20099
9 20129
10 20079
11 20128
12 20057
13 20116
14 20056
15 20096
16 20056
17 20095
18 20115
19 20115
20 20105

About L.‐X. Yan

L.‐X. Yan is a scholar working on Immunology, Rheumatology, Hematology, Genetics and Molecular Biology, having authored 55 papers that have together received 353 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (52 papers), T-cell and B-cell Immunology (51 papers), Immunotherapy and Immune Responses (45 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Blood groups and transfusion (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Blood disorders and treatments (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Immunology (347 citations), Transplantation (15 citations), Hematology (43 citations), Epidemiology (35 citations) and Physiology (3 citations). L.‐X. Yan has collaborated with scholars based in China. Frequent co-authors include Faming Zhu, Ke Jiang, W. Zhang, J. He, Ji He, H.‐J. Lv, Xianguo Xu, Yan He, Wei Zhang and Hengyu Zhao. Their work appears in journals such as International Journal of Immunogenetics, Transfusion Clinique et Biologique, Immunohematology and Tissue Antigens.

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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