Hexian Li

831 citations
27 papers · 588 · h-index 13

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 13
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Hexian Li

24 papers receiving 582 citations

Peers

Hexian Li
Comparison fields: 5 of 72
  • Oncology 250
  • Immunology 122
  • Genetics 104
  • Biotechnology 31
  • Infectious Diseases 57
Replace Liangfu Xie with:
Liangfu Xie China
Stephen W. Jarantow United States
Camillia S. Azimi United States
Koji Nagaoka Japan
Simone Battella Italy
Thomas Poiret Sweden
Thomas Shum United States
Bettina Panagiota Iliopoulou United States
Vania Baldan United Kingdom
Hexian Li relative to Liangfu Xie China Liangfu Xie's profile →
Citations per field
00.5×2×3.1×
Liangfu Xie · 1×
Citations per year

Countries citing papers authored by Hexian Li

Since Specialization
Citations

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

Fields of papers citing papers by Hexian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022168
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3 201366
4 202048
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About Hexian Li

Hexian Li is a scholar working on Oncology, Immunology, Periodontics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 27 papers that have together received 588 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers) and Dental Health and Care Utilization (2 papers). The work is most often cited by research in Oncology (250 citations), Immunology (122 citations), Genetics (104 citations), Biotechnology (31 citations) and Infectious Diseases (57 citations). Hexian Li has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Aiping Tong, Qizhong Lu, Ying Ming Zhou, Zongliang Zhang, Meijun Zheng, Kunhong Zhong, Zeng Wang, Guoqing Wang, Xin Tang and Liangxue Zhou. Their work appears in journals such as Journal of Nanobiotechnology, Biomolecules, Journal for ImmunoTherapy of Cancer, Cancer Letters and Signal Transduction and Targeted Therapy.

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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