Xiaobin Lü

2.3k citations
23 papers · 1.9k · h-index 15

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • HIV Research and Treatment 12
    • Virus-based gene therapy research 10

Xiaobin Lü

23 papers receiving 1.8k citations

Peers

Xiaobin Lü
Comparison fields: 5 of 62
  • Virology 801
  • Genetics 489
  • Oncology 296
  • Immunology 137
  • Molecular Biology 412
Replace Chiara Bovolenta with:
Chiara Bovolenta Italy
J. Victor Garcia United States
I S Chen United States
Shana Marmon United States
Ming-Jie Li United States
Flossie Wong-Staal United States
Nanhai G. Chen United States
Troy Brady United States
Eugene V. Barsov United States
Guy R. Simpson United Kingdom
Xiaobin Lü relative to Chiara Bovolenta Italy Chiara Bovolenta's profile →
Citations per field
00.5×1.5×2.1×
Chiara Bovolenta · 1×
Citations per year

Countries citing papers authored by Xiaobin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006401
2 2018249
3 1998220
4 1990133
5 1997130
6 1996121
7 2005119
8 2004107
9 200090
10 199377
11 200476
12 200462
13 199323
14 201722
15 200418
16 199415
17 200512
18 19997
19 19932
20 20042

About Xiaobin Lü

Xiaobin Lü is a scholar working on Virology, Genetics, Molecular Biology, Oncology and Nuclear Energy and Engineering, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Virus-based gene therapy research (10 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), CAR-T cell therapy research (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Virology (801 citations), Genetics (489 citations), Oncology (296 citations), Immunology (137 citations) and Molecular Biology (412 citations). Xiaobin Lü has collaborated with scholars based in United States, Slovenia and France. Frequent co-authors include Boris Matija Peterlin, Boro Dropulić, Gwendolyn K. Binder, Vladimir Slepushkin, Laurent M. P. F. Humeau, Bruce L. Levine, Carl H. June, Frances M. Brodsky, Shu‐Hui Liu and Tessio Rebello. Their work appears in journals such as Journal of Virology, Blood, Virology, Human Gene Therapy and Molecular 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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