Lu Tang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
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- Statistical Methods and Inference 6
- Statistical Methods and Bayesian Inference 5
- Co-authors
- Yu Hu (8 shared papers)Heng Mei (8 shared papers)Pin Yi (7 shared papers)Shan Rao (7 shared papers)Yujuan Zhou (7 shared papers)Linda Oyang (7 shared papers)Qianjin Liao (7 shared papers)Shiming Tan (6 shared papers)
- Journals
- Journal of Cancer (4 papers)PLoS ONE (3 papers)Computational Statistics & Data Analysis (2 papers)Biochemical and Biophysical Research Communications (2 papers)Drug and Alcohol Dependence (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lu Tang
116 papers receiving 4.0k citations
Lu Tang's Hit Papers
Peers
Comparison fields: 5 of 169
- Cancer Research 673
- Immunology 479
- Modeling and Simulation 108
- Critical Care and Intensive Care Medicine 107
- Oncology 560
Countries citing papers authored by Lu Tang
This map shows the geographic impact of Lu 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 Lu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Tang more than expected).
Fields of papers citing papers by Lu Tang
This network shows the impact of papers produced by Lu 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 Lu Tang. The network helps show where Lu Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The cancer metabolic reprogramming and immune response Hit paper breakdown → | 2021 | 959 |
| 2 | 2020 | 372 | |
| 3 | 2020 | 164 | |
| 4 | 2019 | 112 | |
| 5 | 2014 | 107 | |
| 6 | 2023 | 103 | |
| 7 | 2019 | 101 | |
| 8 | 2020 | 100 | |
| 9 | 2020 | 98 | |
| 10 | 2021 | 89 | |
| 11 | 2012 | 85 | |
| 12 | 2021 | 84 | |
| 13 | 2014 | 75 | |
| 14 | 2014 | 72 | |
| 15 | 2014 | 60 | |
| 16 | 2012 | 54 | |
| 17 | 2022 | 52 | |
| 18 | Fused Lasso Approach in Regression Coefficients Clustering - Learning Parameter Heterogeneity in Data Integration. | 2016 | 48 |
| 19 | 2016 | 47 | |
| 20 | 2022 | 43 |
About Lu Tang
Lu Tang is a scholar working on Cancer Research, Statistics and Probability, Molecular Biology, Public Health, Environmental and Occupational Health and Immunology, having authored 119 papers that have together received 4.1k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (8 papers), MicroRNA in disease regulation (6 papers), Statistical Methods and Inference (6 papers), Cancer-related molecular mechanisms research (5 papers), Statistical Methods and Bayesian Inference (5 papers), RNA modifications and cancer (4 papers), COVID-19 epidemiological studies (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (673 citations), Immunology (479 citations), Modeling and Simulation (108 citations), Critical Care and Intensive Care Medicine (107 citations) and Oncology (560 citations). Lu Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu Hu, Heng Mei, Pin Yi, Shan Rao, Yujuan Zhou, Linda Oyang, Qianjin Liao, Shiming Tan, Jinguan Lin and Longzheng Xia. Their work appears in journals such as Journal of Cancer, PLoS ONE, Computational Statistics & Data Analysis, Biochemical and Biophysical Research Communications and Drug and Alcohol Dependence.
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.