Xiaozhi Lu

4.0k citations
9 papers · 337 · 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

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

Xiaozhi Lu

9 papers receiving 332 citations

Peers

Xiaozhi Lu
Comparison fields: 5 of 48
  • Virology 207
  • Immunology 131
  • Infectious Diseases 70
  • Pharmacology 32
  • Radiology, Nuclear Medicine and Imaging 66
Replace Zhongning Yang with:
Zhongning Yang United States
Kazuki Izumi Japan
Shintaro Matsumi Japan
Romain Bouziat United States
Reetakshi Arora United States
Sudhanshu Shekhar Pati India
Loriana Di Giammarino Italy
Aaron Christensen-Quick United States
Kabamba Kabeya Belgium
Claire L. Mackintosh United Kingdom
Xiaozhi Lu relative to Zhongning Yang United States Zhongning Yang's profile →
Citations per field
00.5×2×4×6×8×10×
Zhongning Yang · 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 2013142
2 201167
3 199655
4 200732
5 200725
6 201013
7 20101
8
[Immune effects of specific CTLs response induced by dendritic cells pulsed with NY-ESO-1 peptide].
20171
9 20151

About Xiaozhi Lu

Xiaozhi Lu is a scholar working on Virology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 9 papers that have together received 337 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), Monoclonal and Polyclonal Antibodies Research (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Virology (207 citations), Immunology (131 citations), Infectious Diseases (70 citations), Pharmacology (32 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Xiaozhi Lu has collaborated with scholars based in United States, United Kingdom and Zambia. Frequent co-authors include Hua‐Xin Liao, Thomas B. Kepler, S. Munir Alam, Andrea Gaedigk, Barton F. Haynes, James Steven Leeder, Yi Li, John L. VandeBerg, Garnett H. Kelsoe and Guang Yang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Experimental Medicine, Molecular Pharmacology, PLoS Pathogens 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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