Xiaolu Long
Impact in
-
- CAR-T cell therapy research
Papers in
- Oncology 12
- CAR-T cell therapy research 11
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Jianfeng Zhou (11 shared papers)Liting Chen (12 shared papers)Chunrui Li (10 shared papers)Min Xiao (8 shared papers)Caixia Chen (4 shared papers)Lili Chen (1 shared paper)Jia Gu (6 shared papers)Jiuxiang Lin (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Blood (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Frontiers in Oncology (2 papers)Journal of Molecular Diagnostics (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Xiaolu Long
23 papers receiving 250 citations
Peers
Comparison fields: 5 of 60
- Oncology 136
- Complementary and Manual Therapy 7
- Hematology 33
- Orthodontics 12
- Oral Surgery 13
Countries citing papers authored by Xiaolu Long
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
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.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 39 | |
| 2 | 2020 | 32 | |
| 3 | 2010 | 29 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2014 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 2 |
About Xiaolu Long
Xiaolu Long is a scholar working on Oncology, Molecular Biology, Hematology, Genetics and Cancer Research, having authored 24 papers that have together received 255 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Cancer Genomics and Diagnostics (4 papers), Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Multiple Myeloma Research and Treatments (2 papers), CRISPR and Genetic Engineering (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Oncology (136 citations), Complementary and Manual Therapy (7 citations), Hematology (33 citations), Orthodontics (12 citations) and Oral Surgery (13 citations). Xiaolu Long has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jianfeng Zhou, Liting Chen, Chunrui Li, Min Xiao, Caixia Chen, Lili Chen, Jia Gu, Jiuxiang Lin, J. Liu and Tianmin Xu. Their work appears in journals such as Molecular Therapy, Blood, Journal for ImmunoTherapy of Cancer, Frontiers in Oncology 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.