Lu Mao
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Liver Disease Diagnosis and Treatment
Papers in
-
- Statistical Methods and Inference 21
- Advanced Causal Inference Techniques 16
- Statistical Methods in Clinical Trials 15
- Statistical Methods and Bayesian Inference 9
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 7
- Co-authors
- D. Y. Lin (3 shared papers)Donglin Zeng (2 shared papers)KyungMann Kim (5 shared papers)Christine U. Oramasionwu (4 shared papers)Heather Moore (1 shared paper)Jennifer S. Smith (3 shared papers)Simon A. Levin (2 shared papers)Cynthia Firnhaber (2 shared papers)
- Journals
- Abdominal Radiology (7 papers)Biometrics (6 papers)Biometrika (4 papers)Journal of Vascular and Interventional Radiology (4 papers)Statistics in Medicine (4 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Lu Mao
68 papers receiving 877 citations
Peers
Comparison fields: 5 of 106
- Statistics and Probability 324
- Epidemiology 261
- Hepatology 55
- Emergency Medicine 52
- Oncology 111
Countries citing papers authored by Lu Mao
This map shows the geographic impact of Lu Mao'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 Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Mao more than expected).
Fields of papers citing papers by Lu Mao
This network shows the impact of papers produced by Lu Mao. 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 Mao. The network helps show where Lu Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Mao, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 125 | |
| 2 | 2013 | 90 | |
| 3 | 2020 | 43 | |
| 4 | 2019 | 36 | |
| 5 | 2015 | 36 | |
| 6 | 2015 | 31 | |
| 7 | 2014 | 30 | |
| 8 | 2022 | 26 | |
| 9 | 2022 | 26 | |
| 10 | 2017 | 26 | |
| 11 | 2016 | 26 | |
| 12 | 2014 | 25 | |
| 13 | 2019 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2020 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2013 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2021 | 15 |
About Lu Mao
Lu Mao is a scholar working on Statistics and Probability, Epidemiology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 80 papers that have together received 889 indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Advanced Causal Inference Techniques (16 papers), Statistical Methods in Clinical Trials (15 papers), Statistical Methods and Bayesian Inference (9 papers), Liver Disease Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (6 papers), Radiation Dose and Imaging (5 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Statistics and Probability (324 citations), Epidemiology (261 citations), Hepatology (55 citations), Emergency Medicine (52 citations) and Oncology (111 citations). Lu Mao has collaborated with scholars based in United States, Canada and China. Frequent co-authors include D. Y. Lin, Donglin Zeng, KyungMann Kim, Christine U. Oramasionwu, Heather Moore, Jennifer S. Smith, Simon A. Levin, Cynthia Firnhaber, Mark Faesen and Sophie Williams. Their work appears in journals such as Abdominal Radiology, Biometrics, Biometrika, Journal of Vascular and Interventional Radiology and Statistics in Medicine.
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.