An Lu

1.2k citations
21 papers · 967 · h-index 10

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 16
    • Cancer Immunotherapy and Biomarkers 3
    • Immunotherapy and Immune Responses 10
    • Immune Cell Function and Interaction 6
    • Biosimilars and Bioanalytical Methods 2

An Lu

20 papers receiving 946 citations

Peers

An Lu
Comparison fields: 5 of 44
  • Oncology 829
  • Immunology 365
  • Genetics 277
  • Biomedical Engineering 307
  • Molecular Biology 251
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An Lu relative to Raghuveer Ranganathan United States Raghuveer Ranganathan's profile →
Citations per field
00.5×1.5×
Raghuveer Ranganathan · 1×
Citations per year

Countries citing papers authored by An Lu

Since Specialization
Citations

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

Fields of papers citing papers by An Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010434
2 2008176
3 201794
4 201871
5 201967
6 201033
7 200922
8 200818
9 200717
10 202415
11 20094
12 20233
13 20163
14 20162
15 20152
16 20152
17 20151
18 20181
19 20161
20 20161

About An Lu

An Lu is a scholar working on Oncology, Immunology, Molecular Biology, Biomedical Engineering and Genetics, having authored 21 papers that have together received 967 indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Immunotherapy and Immune Responses (10 papers), Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Nanowire Synthesis and Applications (2 papers), Biosimilars and Bioanalytical Methods (2 papers), CRISPR and Genetic Engineering (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (829 citations), Immunology (365 citations), Genetics (277 citations), Biomedical Engineering (307 citations) and Molecular Biology (251 citations). An Lu has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Aaron E. Foster, Cliona M. Rooney, Malcolm K. Brenner, Adham S. Bear, John Craddock, Martin Pulé, Mariam Khalil, Catherine M. Bollard, Helen E. Heslop and Gianpietro Dotti. Their work appears in journals such as Blood, Journal of Immunotherapy, Journal of Clinical Oncology, Molecular Therapy and Journal of Electroanalytical Chemistry.

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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