Can Luo
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Circular RNAs in diseases 3
-
- Immune Cell Function and Interaction 3
- Immune cells in cancer 3
- Immunotherapy and Immune Responses 3
- Co-authors
- Weidong Han (5 shared papers)Hanren Dai (3 shared papers)Yao Wang (3 shared papers)Yelei Guo (3 shared papers)Chuan Tong (2 shared papers)Zhiqiang Wu (2 shared papers)Yang Liu (2 shared papers)Meixia Chen (2 shared papers)
- Journals
- BMC Microbiology (2 papers)The Journal of Immunology (2 papers)International Immunopharmacology (2 papers)The FASEB Journal (1 paper)Inflammation Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Can Luo
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Oncology 477
- Immunology 277
- Cancer Research 158
- Dermatology 48
- Molecular Biology 375
Countries citing papers authored by Can Luo
This map shows the geographic impact of Can Luo'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 Can Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Luo more than expected).
Fields of papers citing papers by Can Luo
This network shows the impact of papers produced by Can Luo. 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 Can Luo. The network helps show where Can Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Luo, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 266 | |
| 2 | 2014 | 147 | |
| 3 | 2016 | 104 | |
| 4 | 2019 | 77 | |
| 5 | 2014 | 57 | |
| 6 | 2013 | 47 | |
| 7 | 2014 | 35 | |
| 8 | 2019 | 31 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2011 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2014 | 12 | |
| 20 | 2011 | 10 |
About Can Luo
Can Luo is a scholar working on Molecular Biology, Immunology, Oncology, Molecular Medicine and Cancer Research, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Cancer-related molecular mechanisms research (5 papers), CAR-T cell therapy research (4 papers), Circular RNAs in diseases (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Oncology (477 citations), Immunology (277 citations), Cancer Research (158 citations), Dermatology (48 citations) and Molecular Biology (375 citations). Can Luo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weidong Han, Hanren Dai, Yao Wang, Yelei Guo, Chuan Tong, Zhiqiang Wu, Yang Liu, Meixia Chen, Qingming Yang and Kaichao Feng. Their work appears in journals such as BMC Microbiology, The Journal of Immunology, International Immunopharmacology, The FASEB Journal and Inflammation Research.
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.