L. Wei
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Bioinformatics and Genomic Networks 2
- Advanced biosensing and bioanalysis techniques 1
- Machine Learning in Bioinformatics 1
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- Galectins and Cancer Biology 1
- Co-authors
- Tommaso Cai (1 shared paper)Atsushi Tajima (1 shared paper)J. Fenstermacher (1 shared paper)Joseph A. Demaro (1 shared paper)Dawn E. W. Livingstone (1 shared paper)Franz‐Josef Hans (1 shared paper)Jiangtao Yu (1 shared paper)Bao Song (1 shared paper)
- Journals
- Cancer Gene Therapy (3 papers)Biomaterials (1 paper)Journal of Radiation Research (1 paper)BMC Surgery (1 paper)Hypertension (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
L. Wei
12 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Plant Science 1.2k
- Cancer Research 454
- Molecular Biology 1.6k
- Aquatic Science 166
- Horticulture 18
Countries citing papers authored by L. Wei
This map shows the geographic impact of L. Wei'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 L. Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Wei more than expected).
Fields of papers citing papers by L. Wei
This network shows the impact of papers produced by L. Wei. 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 L. Wei. The network helps show where L. Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Automated genome annotation and pathway identification using the KEGG Orthology (KO) as a controlled vocabulary Hit paper breakdown → | 2005 | 2975 |
| 2 | 1993 | 74 | |
| 3 | 2008 | 51 | |
| 4 | 2006 | 40 | |
| 5 | 2013 | 28 | |
| 6 | 2014 | 16 | |
| 7 | 1997 | 12 | |
| 8 | Treatment of complications due to peritoneal dialysis for chronic renal failure with traditional Chinese medicine. | 1999 | 11 |
| 9 | 2024 | 7 | |
| 10 | 2012 | 5 | |
| 11 | 2002 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About L. Wei
L. Wei is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Oncology and Hematology, having authored 13 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Bioinformatics and Genomic Networks (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Machine Learning in Bioinformatics (1 paper), Cystic Fibrosis Research Advances (1 paper), Alzheimer's disease research and treatments (1 paper), Galectins and Cancer Biology (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Plant Science (1.2k citations), Cancer Research (454 citations), Molecular Biology (1.6k citations), Aquatic Science (166 citations) and Horticulture (18 citations). L. Wei has collaborated with scholars based in China and United States. Frequent co-authors include Tommaso Cai, Atsushi Tajima, J. Fenstermacher, Joseph A. Demaro, Dawn E. W. Livingstone, Franz‐Josef Hans, Jiangtao Yu, Bao Song, Li Xie and Jian Yu. Their work appears in journals such as Cancer Gene Therapy, Biomaterials, Journal of Radiation Research, BMC Surgery and Hypertension.
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.