Xiaolu Long

716 citations
22 papers · 233 · h-index 9

Impact in

Papers in

    • CAR-T cell therapy research 12
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • CRISPR and Genetic Engineering 2
    • Single-cell and spatial transcriptomics 1

Xiaolu Long

22 papers receiving 228 citations

Peers

Xiaolu Long
Comparison fields: 5 of 50
  • Oncology 133
  • Orthodontics 18
  • Complementary and Manual Therapy 8
  • Hematology 38
  • Oral Surgery 21
Replace Maddalena Noviello with:
Maddalena Noviello Italy
P. Ryan United Kingdom
Maryam Nourizadeh Iran
Andrea Reitsma Australia
Sandra Horowitz United States
Maria A. V. Marzolini United Kingdom
Takako Miura Japan
Penvadee Pattanaprichakul Thailand
Xiaoqian Liang China
Hema Dave United States
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Citations per field
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Maddalena Noviello · 1×
Citations per year

Countries citing papers authored by Xiaolu Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202039
2 202032
3 201028
4 202024
5 202016
6 202213
7 202212
8 202111
9 202311
10 20237
11 20197
12 20246
13 20245
14 20215
15 20235
16 20142
17 20232
18 20232
19 20212
20 20192

About Xiaolu Long

Xiaolu Long is a scholar working on Oncology, Molecular Biology, Hematology, Genetics and Immunology, having authored 22 papers that have together received 233 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Virus-based gene therapy research (5 papers), Cancer Genomics and Diagnostics (4 papers), Multiple Myeloma Research and Treatments (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), CRISPR and Genetic Engineering (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Oncology (133 citations), Orthodontics (18 citations), Complementary and Manual Therapy (8 citations), Hematology (38 citations) and Oral Surgery (21 citations). Xiaolu Long has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Jianfeng Zhou, Liting Chen, Min Xiao, Caixia Chen, Chunrui Li, Tianmin Xu, Jia Gu, Lili Chen, Jiuxiang Lin and J. Liu. Their work appears in journals such as Molecular Therapy, Blood, Frontiers in Oncology, Journal for ImmunoTherapy of Cancer and Journal of Molecular Diagnostics.

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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