Kaijun Liao
Impact in
- Health top 10%
-
- Healthcare Systems and Technology
Papers in
- Genetics 3
- BRCA gene mutations in cancer 3
-
- Prostate Cancer Diagnosis and Treatment 2
- Co-authors
- Katrina Armstrong (11 shared papers)Justin E. Bekelman (4 shared papers)Judy A. Shea (3 shared papers)Mirar Bristol Demeter (3 shared papers)Noora Marcus (2 shared papers)Chanita Hughes Halbert (2 shared papers)J. Sanford Schwartz (2 shared papers)Mary Putt (2 shared papers)
- Journals
- Medical Care (3 papers)Cancer (2 papers)Value in Health (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Kaijun Liao
14 papers receiving 587 citations
Peers
Comparison fields: 5 of 87
- Health 45
- Organizational Behavior and Human Resource Management 56
- General Health Professions 89
- Oncology 69
- Pulmonary and Respiratory Medicine 78
Countries citing papers authored by Kaijun Liao
This map shows the geographic impact of Kaijun Liao'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 Kaijun Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijun Liao more than expected).
Fields of papers citing papers by Kaijun Liao
This network shows the impact of papers produced by Kaijun Liao. 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 Kaijun Liao. The network helps show where Kaijun Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijun Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 257 | |
| 2 | 2011 | 76 | |
| 3 | 2011 | 76 | |
| 4 | 2012 | 40 | |
| 5 | 2012 | 40 | |
| 6 | 2014 | 39 | |
| 7 | 2011 | 28 | |
| 8 | 2013 | 23 | |
| 9 | 2014 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2011 | 9 | |
| 12 | 2013 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2012 | 3 | |
| 15 | Statistical methods for non-ignorable missing data with applications to quality-of-life data | 2012 | 1 |
About Kaijun Liao
Kaijun Liao is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Artificial Intelligence, Statistics and Probability and Civil and Structural Engineering, having authored 15 papers that have together received 629 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Statistical Methods and Bayesian Inference (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Statistical Methods and Inference (2 papers), Bayesian Methods and Mixture Models (2 papers), Endometriosis Research and Treatment (1 paper), Textile materials and evaluations (1 paper) and Structural Analysis of Composite Materials (1 paper). The work is most often cited by research in Health (45 citations), Organizational Behavior and Human Resource Management (56 citations), General Health Professions (89 citations), Oncology (69 citations) and Pulmonary and Respiratory Medicine (78 citations). Kaijun Liao has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Katrina Armstrong, Justin E. Bekelman, Judy A. Shea, Mirar Bristol Demeter, Noora Marcus, Chanita Hughes Halbert, J. Sanford Schwartz, Mary Putt, David Grande and Craig Evan Pollack. Their work appears in journals such as Medical Care, Cancer, Value in Health, Cancer Epidemiology Biomarkers & Prevention and Frontiers in Endocrinology.
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.