Junling Liu
Impact in
- Hematology top 1%
- Platelet Disorders and Treatments
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 8
- Hematology 48
- Platelet Disorders and Treatments 44
- Blood groups and transfusion 6
- Co-authors
- T. Kent Gartner (17 shared papers)Xiaoping Du (5 shared papers)Michael C. Berndt (5 shared papers)Carl W. Jackson (6 shared papers)Zhenyu Li (3 shared papers)Yi Zheng (3 shared papers)Xuemei Fan (20 shared papers)Kemin Wang (14 shared papers)
- Journals
- Blood (23 papers)Arteriosclerosis Thrombosis and Vascular Biology (9 papers)Blood Advances (5 papers)PLoS ONE (4 papers)Nature Communications (4 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Junling Liu
175 papers receiving 4.3k citations
Junling Liu's Hit Papers
Peers
Comparison fields: 5 of 145
- Hematology 795
- Immunology and Allergy 220
- Internal Medicine 95
- Physiology 130
- Immunology 541
Countries citing papers authored by Junling Liu
This map shows the geographic impact of Junling 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 Junling Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junling Liu more than expected).
Fields of papers citing papers by Junling Liu
This network shows the impact of papers produced by Junling 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 Junling Liu. The network helps show where Junling Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junling 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 189 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 177 | |
| 2 | 2016 | 175 | |
| 3 | 2011 | 154 | |
| 4 | 2014 | 140 | |
| 5 | 2006 | 112 | |
| 6 | 2013 | 90 | |
| 7 | 2020 | 90 | |
| 8 | 2013 | 86 | |
| 9 | 2023 | 82 | |
| 10 | 2021 | 78 | |
| 11 | 2008 | 76 | |
| 12 | 2003 | 76 | |
| 13 | 2017 | 70 | |
| 14 | 2013 | 70 | |
| 15 | 2019 | 66 | |
| 16 | 2012 | 66 | |
| 17 | 2005 | 65 | |
| 18 | 2018 | 63 | |
| 19 | 2017 | 60 | |
| 20 | 2010 | 58 |
About Junling Liu
Junling Liu is a scholar working on Molecular Biology, Hematology, Immunology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 189 papers that have together received 4.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (44 papers), Cell Adhesion Molecules Research (12 papers), Antiplatelet Therapy and Cardiovascular Diseases (10 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Immune Cell Function and Interaction (8 papers), Lipid metabolism and disorders (6 papers), Autophagy in Disease and Therapy (6 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Hematology (795 citations), Immunology and Allergy (220 citations), Internal Medicine (95 citations), Physiology (130 citations) and Immunology (541 citations). Junling Liu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include T. Kent Gartner, Xiaoping Du, Michael C. Berndt, Carl W. Jackson, Zhenyu Li, Yi Zheng, Xuemei Fan, Kemin Wang, Yanyan Xu and Lin Zhang. Their work appears in journals such as Blood, Arteriosclerosis Thrombosis and Vascular Biology, Blood Advances, PLoS ONE and Nature Communications.
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.