Xiaobin Liu
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cytokine Signaling Pathways and Interactions
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Geochemistry and Geologic Mapping 3
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- Second Language Acquisition and Learning 5
- Innovative Teaching and Learning Methods 3
- Co-authors
- Mariusz A. Wasik (6 shared papers)Qian Zhang (4 shared papers)Michał Marzec (3 shared papers)Hong Yi Wang (4 shared papers)Mangeng Cheng (1 shared paper)Ami Goradia (1 shared paper)Puthiyaveettil N. Raghunath (1 shared paper)Maria Wysocka (1 shared paper)
- Journals
- Frontiers in Psychology (4 papers)Proceedings of the National Academy of Sciences (3 papers)RELC Journal (3 papers)International Journal of Innovation and Learning (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaobin Liu
55 papers receiving 1.4k citations
Xiaobin Liu's Hit Papers
Peers
Comparison fields: 5 of 141
- Oncology 517
- Immunology 384
- Pathology and Forensic Medicine 227
- Catalysis 73
- Dermatology 67
Countries citing papers authored by Xiaobin Liu
This map shows the geographic impact of Xiaobin Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Liu more than expected).
Fields of papers citing papers by Xiaobin Liu
This network shows the impact of papers produced by Xiaobin Liu. 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 Liu. The network helps show where Xiaobin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin Liu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oncogenic kinase NPM/ALK induces through STAT3 expression of immunosuppressive protein CD274 (PD-L1, B7-H1) Hit paper breakdown → | 2008 | 603 |
| 2 | 2006 | 129 | |
| 3 | 2018 | 121 | |
| 4 | 2017 | 69 | |
| 5 | 2008 | 51 | |
| 6 | 2011 | 38 | |
| 7 | 2012 | 37 | |
| 8 | 2011 | 29 | |
| 9 | 2013 | 27 | |
| 10 | 2011 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2017 | 23 | |
| 13 | 2019 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2022 | 14 | |
| 17 | 2010 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2021 | 9 | |
| 20 | 2021 | 8 |
About Xiaobin Liu
Xiaobin Liu is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Language and Linguistics, Information Systems and Immunology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (6 papers), Second Language Acquisition and Learning (5 papers), Renal Diseases and Glomerulopathies (5 papers), Immune Cell Function and Interaction (5 papers), Subtitles and Audiovisual Media (3 papers), Geochemistry and Geologic Mapping (3 papers), Innovative Teaching and Learning Methods (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (517 citations), Immunology (384 citations), Pathology and Forensic Medicine (227 citations), Catalysis (73 citations) and Dermatology (67 citations). Xiaobin Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mariusz A. Wasik, Qian Zhang, Michał Marzec, Hong Yi Wang, Mangeng Cheng, Ami Goradia, Puthiyaveettil N. Raghunath, Maria Wysocka, Bruce Ruggeri and Michele Paessler. Their work appears in journals such as Frontiers in Psychology, Proceedings of the National Academy of Sciences, RELC Journal, International Journal of Innovation and Learning and Scientific Reports.
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.