Michelle Xia
Impact in
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Statistics and Probability top 10%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
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- Statistical Methods and Bayesian Inference 9
- Statistical Methods and Inference 6
- Statistical Distribution Estimation and Applications 3
- Oncology 13
- Cancer Immunotherapy and Biomarkers 7
- Colorectal Cancer Treatments and Studies 3
- Co-authors
- Baiyong Li (21 shared papers)Tingting Zhong (9 shared papers)Xinghua Pang (9 shared papers)Zhongmin Maxwell Wang (5 shared papers)Paul Gustafson (6 shared papers)Peng Zhang (5 shared papers)Xinyu Wu (2 shared papers)Lei Hua (3 shared papers)
- Journals
- Cancer Research (5 papers)Canadian Journal of Statistics (3 papers)Journal of Statistical Computation and Simulation (2 papers)Blood (2 papers)Statistics in Medicine (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Michelle Xia
43 papers receiving 419 citations
Michelle Xia's Hit Papers
Peers
Comparison fields: 5 of 71
- Oncology 133
- Statistics and Probability 44
- Finance 35
- Immunology 60
- Hepatology 20
Countries citing papers authored by Michelle Xia
This map shows the geographic impact of Michelle Xia'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 Michelle Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Xia more than expected).
Fields of papers citing papers by Michelle Xia
This network shows the impact of papers produced by Michelle Xia. 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 Michelle Xia. The network helps show where Michelle Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Xia, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cadonilimab, a tetravalent PD-1/CTLA-4 bispecific antibody with trans-binding and enhanced target binding avidity Hit paper breakdown → | 2023 | 114 |
| 2 | 2023 | 35 | |
| 3 | 2022 | 28 | |
| 4 | 2019 | 28 | |
| 5 | 2013 | 27 | |
| 6 | 2023 | 26 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2012 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2014 | 4 |
About Michelle Xia
Michelle Xia is a scholar working on Statistics and Probability, Oncology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Surgery, having authored 47 papers that have together received 423 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Statistical Methods and Bayesian Inference (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Statistical Methods and Inference (6 papers), Financial Risk and Volatility Modeling (4 papers), Statistical Distribution Estimation and Applications (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Insurance, Mortality, Demography, Risk Management (3 papers). The work is most often cited by research in Oncology (133 citations), Statistics and Probability (44 citations), Finance (35 citations), Immunology (60 citations) and Hepatology (20 citations). Michelle Xia has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Baiyong Li, Tingting Zhong, Xinghua Pang, Zhongmin Maxwell Wang, Paul Gustafson, Peng Zhang, Xinyu Wu, Lei Hua, Warren Michelow and Réka Gustafson. Their work appears in journals such as Cancer Research, Canadian Journal of Statistics, Journal of Statistical Computation and Simulation, Blood 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.