Lin Liu
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Nephrology top 5%
Papers in
-
- Cardiovascular Function and Risk Factors 8
- Co-authors
- Hui Chen (5 shared papers)Zhiyuan Chen (4 shared papers)Tao Qiu (4 shared papers)Xiaodong Weng (4 shared papers)Xiuheng Liu (4 shared papers)Xiao‐Jun Huang (5 shared papers)Wangsen Cao (1 shared paper)Baishen Pan (2 shared papers)
- Journals
- Scientific Reports (6 papers)Medicine (5 papers)PLoS ONE (2 papers)Blood (2 papers)Clinical Rheumatology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin Liu
146 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 135
- Hematology 171
- Nephrology 93
- Cancer Research 169
- Endocrinology, Diabetes and Metabolism 174
- Genetics 104
Countries citing papers authored by Lin Liu
This map shows the geographic impact of Lin 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 Lin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Liu more than expected).
Fields of papers citing papers by Lin Liu
This network shows the impact of papers produced by Lin 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 Lin Liu. The network helps show where Lin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 106 | |
| 2 | 2020 | 99 | |
| 3 | 2011 | 99 | |
| 4 | 2008 | 71 | |
| 5 | 2015 | 70 | |
| 6 | 2012 | 66 | |
| 7 | 2015 | 65 | |
| 8 | 2021 | 59 | |
| 9 | 2022 | 56 | |
| 10 | 2016 | 56 | |
| 11 | 2020 | 55 | |
| 12 | 2014 | 53 | |
| 13 | 2012 | 49 | |
| 14 | 2009 | 45 | |
| 15 | 2021 | 44 | |
| 16 | 2013 | 42 | |
| 17 | 2015 | 42 | |
| 18 | 2012 | 40 | |
| 19 | 2005 | 39 | |
| 20 | 2013 | 39 |
About Lin Liu
Lin Liu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Hematology and Surgery, having authored 161 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Cardiovascular Function and Risk Factors (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), COVID-19 Clinical Research Studies (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Cancer-related molecular mechanisms research (4 papers), Obstructive Sleep Apnea Research (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Hematology (171 citations), Nephrology (93 citations), Cancer Research (169 citations), Endocrinology, Diabetes and Metabolism (174 citations) and Genetics (104 citations). Lin Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Chen, Zhiyuan Chen, Tao Qiu, Xiaodong Weng, Xiuheng Liu, Xiao‐Jun Huang, Wangsen Cao, Baishen Pan, Ming Zhong and Jinhui Wu. Their work appears in journals such as Scientific Reports, Medicine, PLoS ONE, Blood and Clinical Rheumatology.
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.