Anquan Liu

951 citations
24 papers · 740 · h-index 16

Impact in

  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Atherosclerosis and Cardiovascular Diseases 6
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Chronic Lymphocytic Leukemia Research 4

Anquan Liu

24 papers receiving 727 citations

Peers

Anquan Liu
Comparison fields: 5 of 96
  • Immunology 321
  • Genetics 97
  • Hematology 87
  • Rheumatology 85
  • Pathology and Forensic Medicine 85
Replace Ann Biehl with:
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Anquan Liu relative to Ann Biehl United States Ann Biehl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anquan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Anquan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 201670
3 201664
4 200662
5 201250
6 201449
7 200645
8 200442
9 201436
10 201735
11 201031
12 202027
13 201724
14 200422
15 201620
16 200718
17 200215
18 201913
19 200811
20 200410

About Anquan Liu

Anquan Liu is a scholar working on Immunology, Genetics, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 24 papers that have together received 740 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Viral-associated cancers and disorders (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Immunology (321 citations), Genetics (97 citations), Hematology (87 citations), Rheumatology (85 citations) and Pathology and Forensic Medicine (85 citations). Anquan Liu has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Johan Frostegård, Eva Klein, Mizanur Rahman, Jitong Sun, Roland Fiskesund, Keqiang Yan, Yong Zhang, Hans‐Erik Claesson, Ingiäld Hafström and Noémi Nagy. Their work appears in journals such as Blood, Journal of the American Heart Association, Immunology Letters, Virus Genes and JACC Basic to Translational Science.

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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