Xiaozhi Lu

3.9k citations
9 papers · 323 · h-index 6

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • Biosimilars and Bioanalytical Methods 1
    • HIV Research and Treatment 5

Xiaozhi Lu

9 papers receiving 317 citations

Peers

Xiaozhi Lu
Comparison fields: 5 of 48
  • Virology 210
  • Immunology 140
  • Infectious Diseases 82
  • Pharmacology 28
  • Radiology, Nuclear Medicine and Imaging 72
Replace Karin Frutig with:
Karin Frutig Switzerland
Zhongning Yang United States
Kazuki Izumi Japan
Don Francis United States
Brian McAuliffe United States
Sudhanshu S. Pati India
Romain Bouziat United States
Nicholas J. Maurice United States
Rafiq Nabi United States
Claire L. Mackintosh United Kingdom
Xiaozhi Lu relative to Karin Frutig Switzerland Karin Frutig's profile →
Citations per field
00.5×3.1×
Karin Frutig · 1×
Citations per year

Countries citing papers authored by Xiaozhi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013133
2 201165
3 199651
4 200732
5 200725
6 201014
7 20151
8 20101
9
[Immune effects of specific CTLs response induced by dendritic cells pulsed with NY-ESO-1 peptide].
20171

About Xiaozhi Lu

Xiaozhi Lu is a scholar working on Immunology, Virology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 9 papers that have together received 323 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immunotherapy and Immune Responses (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Virology (210 citations), Immunology (140 citations), Infectious Diseases (82 citations), Pharmacology (28 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Xiaozhi Lu has collaborated with scholars based in United States, China and Zambia. Frequent co-authors include Hua‐Xin Liao, Thomas B. Kepler, S. Munir Alam, Andrea Gaedigk, J. Steven Leeder, Barton F. Haynes, T. Matt Holl, Garnett Kelsoe, Derek W. Cain and Leonard D. Spicer. Their work appears in journals such as PLoS Pathogens, Antimicrobial Agents and Chemotherapy, The Journal of Experimental Medicine, Molecular Pharmacology and Virology.

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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