Le Tang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Endocrinology top 5%
Papers in
-
- Circular RNAs in diseases 5
- Oncology 15
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Guiyuan Li (12 shared papers)Can Guo (11 shared papers)Wei Xiong (12 shared papers)Yong Li (9 shared papers)Zhaoyang Zeng (10 shared papers)Ming Zhou (6 shared papers)Fang Xiong (5 shared papers)Bo Xiang (7 shared papers)
- Journals
- Cancer Immunology Immunotherapy (7 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Scientific Reports (2 papers)Clinical Cancer Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Le Tang
89 papers receiving 1.7k citations
Le Tang's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 508
- Endocrinology 92
- Immunology 280
- Oncology 327
- Molecular Biology 796
Countries citing papers authored by Le Tang
This map shows the geographic impact of Le Tang'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 Le Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Tang more than expected).
Fields of papers citing papers by Le Tang
This network shows the impact of papers produced by Le Tang. 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 Le Tang. The network helps show where Le Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Tang, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 322 | |
| 2 | Single‐cell RNA sequencing in cancer research Hit paper breakdown → | 2021 | 257 |
| 3 | 2018 | 147 | |
| 4 | 2020 | 88 | |
| 5 | 2017 | 74 | |
| 6 | 2018 | 73 | |
| 7 | 2024 | 59 | |
| 8 | 2017 | 51 | |
| 9 | 2007 | 45 | |
| 10 | 2016 | 44 | |
| 11 | 2020 | 32 | |
| 12 | 2019 | 30 | |
| 13 | 2016 | 30 | |
| 14 | 2019 | 24 | |
| 15 | 2024 | 22 | |
| 16 | 2021 | 20 | |
| 17 | 2024 | 19 | |
| 18 | 2013 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2022 | 18 |
About Le Tang
Le Tang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Food Science, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (10 papers), Vibrio bacteria research studies (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Antibiotic Resistance in Bacteria (5 papers), Cancer-related molecular mechanisms research (5 papers), Ferroptosis and cancer prognosis (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (508 citations), Endocrinology (92 citations), Immunology (280 citations), Oncology (327 citations) and Molecular Biology (796 citations). Le Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guiyuan Li, Can Guo, Wei Xiong, Yong Li, Zhaoyang Zeng, Ming Zhou, Fang Xiong, Bo Xiang, Yingfen Wu and Zhaojian Gong. Their work appears in journals such as Cancer Immunology Immunotherapy, Journal of Experimental & Clinical Cancer Research, Scientific Reports, Clinical Cancer Research and PLoS ONE.
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.