Weijie Li
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
- Hepatitis B Virus Studies
Papers in
- Epidemiology 19
- Adipokines, Inflammation, and Metabolic Diseases 7
- Hepatitis B Virus Studies 4
- Co-authors
- Meredith Hawkins (8 shared papers)Philipp E. Scherer (4 shared papers)Preeti Kishore (6 shared papers)Xia Mao (12 shared papers)Yanqiong Zhang (14 shared papers)Na Lin (11 shared papers)Xiaoyue Wang (10 shared papers)Haichang Wang (12 shared papers)
- Journals
- Blood (11 papers)Journal of Clinical Investigation (4 papers)Leukemia (4 papers)Diabetes (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Weijie Li
131 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 379
- Epidemiology 753
- Complementary and alternative medicine 177
- Physiology 470
- Endocrine and Autonomic Systems 123
Countries citing papers authored by Weijie Li
This map shows the geographic impact of Weijie Li'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 Weijie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijie Li more than expected).
Fields of papers citing papers by Weijie Li
This network shows the impact of papers produced by Weijie Li. 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 Weijie Li. The network helps show where Weijie Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijie Li, 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 414 | |
| 2 | 2004 | 215 | |
| 3 | 2002 | 162 | |
| 4 | 2013 | 161 | |
| 5 | 2020 | 157 | |
| 6 | 2011 | 116 | |
| 7 | 2003 | 111 | |
| 8 | 2019 | 109 | |
| 9 | 2003 | 103 | |
| 10 | 2011 | 84 | |
| 11 | 2013 | 82 | |
| 12 | 2018 | 81 | |
| 13 | 2018 | 68 | |
| 14 | 2021 | 56 | |
| 15 | 2015 | 52 | |
| 16 | 2006 | 50 | |
| 17 | 2009 | 48 | |
| 18 | 2017 | 46 | |
| 19 | 2010 | 44 | |
| 20 | 2008 | 44 |
About Weijie Li
Weijie Li is a scholar working on Molecular Biology, Epidemiology, Oncology, Physiology and Pathology and Forensic Medicine, having authored 146 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Natural Compounds in Disease Treatment (6 papers), Adipose Tissue and Metabolism (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Cancer Research (379 citations), Epidemiology (753 citations), Complementary and alternative medicine (177 citations), Physiology (470 citations) and Endocrine and Autonomic Systems (123 citations). Weijie Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Meredith Hawkins, Philipp E. Scherer, Preeti Kishore, Xia Mao, Yanqiong Zhang, Na Lin, Xiaoyue Wang, Haichang Wang, Julia Tonelli and Dieter Brömme. Their work appears in journals such as Blood, Journal of Clinical Investigation, Leukemia, Diabetes and Journal of Biological Chemistry.
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.