Maode Lai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- S100 Proteins and Annexins 3
- RNA modifications and cancer 3
- TGF-β signaling in diseases 2
- Oncology 10
- Cancer Cells and Metastasis 4
- Co-authors
- Wenjing Ruan (3 shared papers)Fangying Xu (6 shared papers)Hu Hu (2 shared papers)Huihui Zhou (1 shared paper)Limei Liu (3 shared papers)Juanjuan Shan (3 shared papers)Cheng Qian (3 shared papers)Zhi Yang (3 shared papers)
- Journals
- Hepatology (2 papers)Scientific Reports (2 papers)Cell Death and Disease (2 papers)Genomics (1 paper)The Journal of Pathology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Maode Lai
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 261
- Oncology 250
- Geriatrics and Gerontology 31
- Molecular Biology 621
- Endocrinology, Diabetes and Metabolism 95
Countries citing papers authored by Maode Lai
This map shows the geographic impact of Maode Lai'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 Maode Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maode Lai more than expected).
Fields of papers citing papers by Maode Lai
This network shows the impact of papers produced by Maode Lai. 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 Maode Lai. The network helps show where Maode Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Maode Lai, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 160 | |
| 2 | 2016 | 126 | |
| 3 | 2016 | 105 | |
| 4 | 2016 | 91 | |
| 5 | 2007 | 88 | |
| 6 | 2010 | 78 | |
| 7 | 2021 | 74 | |
| 8 | 2012 | 69 | |
| 9 | 2017 | 48 | |
| 10 | 2016 | 48 | |
| 11 | 2019 | 44 | |
| 12 | 2013 | 44 | |
| 13 | 2014 | 38 | |
| 14 | 2015 | 35 | |
| 15 | 2015 | 27 | |
| 16 | 2007 | 23 | |
| 17 | 2015 | 21 | |
| 18 | 2016 | 21 | |
| 19 | 2015 | 17 | |
| 20 | 2019 | 13 |
About Maode Lai
Maode Lai is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Genetics and Cancer Research, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), Cancer Cells and Metastasis (4 papers), Genetic Associations and Epidemiology (4 papers), S100 Proteins and Annexins (3 papers), RNA modifications and cancer (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (261 citations), Oncology (250 citations), Geriatrics and Gerontology (31 citations), Molecular Biology (621 citations) and Endocrinology, Diabetes and Metabolism (95 citations). Maode Lai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenjing Ruan, Fangying Xu, Hu Hu, Huihui Zhou, Limei Liu, Juanjuan Shan, Cheng Qian, Zhi Yang, Chungang Liu and Yanmin Xu. Their work appears in journals such as Hepatology, Scientific Reports, Cell Death and Disease, Genomics and The Journal of Pathology.
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.