Long Liu
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- Spine and Intervertebral Disc Pathology
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 6
- Hematopoietic Stem Cell Transplantation 5
-
- T-cell and B-cell Immunology 4
- Co-authors
- Lan‐Ping Xu (5 shared papers)Ying-Jun Chang (4 shared papers)Kai‐Yan Liu (2 shared papers)Xiao-Hui Zhang (3 shared papers)Yu Wang (3 shared papers)Zhijuan Lin (7 shared papers)Li Bai (1 shared paper)Fanfu Fang (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Cell Death and Disease (2 papers)Experimental Hematology and Oncology (2 papers)International Immunopharmacology (2 papers)Transplantation and Cellular Therapy (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Long Liu
33 papers receiving 488 citations
Peers
Comparison fields: 5 of 56
- Hematology 99
- Pathology and Forensic Medicine 62
- Oncology 72
- Immunology 55
- Cancer Research 37
Countries citing papers authored by Long Liu
This map shows the geographic impact of Long 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 Long Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Liu more than expected).
Fields of papers citing papers by Long Liu
This network shows the impact of papers produced by Long 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 Long Liu. The network helps show where Long Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 45 | |
| 2 | 2013 | 42 | |
| 3 | 2015 | 42 | |
| 4 | 2018 | 40 | |
| 5 | 2018 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2023 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2018 | 21 | |
| 10 | 2012 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2024 | 20 | |
| 13 | 2025 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2017 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2023 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2025 | 8 |
About Long Liu
Long Liu is a scholar working on Hematology, Immunology, Pathology and Forensic Medicine, Oncology and Psychiatry and Mental health, having authored 35 papers that have together received 493 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), T-cell and B-cell Immunology (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Dementia and Cognitive Impairment Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Hematology (99 citations), Pathology and Forensic Medicine (62 citations), Oncology (72 citations), Immunology (55 citations) and Cancer Research (37 citations). Long Liu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Lan‐Ping Xu, Ying-Jun Chang, Kai‐Yan Liu, Xiao-Hui Zhang, Yu Wang, Zhijuan Lin, Li Bai, Fanfu Fang, Feng Huang and Wei Gu. Their work appears in journals such as Frontiers in Oncology, Cell Death and Disease, Experimental Hematology and Oncology, International Immunopharmacology and Transplantation and Cellular Therapy.
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.