Kaijun Liao
- General Health Professions top 10%
- Oncology
- Economics and Econometrics top 10%
- Pulmonary and Respiratory Medicine
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- Katrina ArmstrongJustin E. BekelmanJudy A. SheaMirar Bristol DemeterMary PuttNoora MarcusDavid GrandeJ. Sanford Schwartz
- Topics
- BRCA gene mutations in cancer (3 papers)Global Cancer Incidence and Screening (3 papers)Statistical Methods and Bayesian Inference (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Kaijun Liao
14 papers receiving 560 citations
Peers
Comparison fields: 5 of 89
- General Health Professions 180
- Oncology 110
- Economics and Econometrics 104
- Pulmonary and Respiratory Medicine 96
- Organizational Behavior and Human Resource Management 95
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-authorship network of co-authors of Kaijun Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Kaijun Liao. A scholar is included among the top collaborators of Kaijun Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaijun Liao. Kaijun Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 6 | |
| 3 | 39 | |
| 4 | 13 | |
| 5 | 22 | |
| 6 | 6 | |
| 7 | 37 | |
| 8 | 38 | |
| 9 | 217 | |
| 10 | 3 | |
| 11 | Statistical methods for non-ignorable missing data with applications to quality-of-life data | 1 |
| 12 | 27 | |
| 13 | 76 | |
| 14 | 73 | |
| 15 | 8 |
About Kaijun Liao
Kaijun Liao is a scholar working on Statistics and Probability, Oncology and Economics and Econometrics, having authored 15 papers that have together received 576 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Global Cancer Incidence and Screening (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (95 citations), General Health Professions (180 citations) and Health (57 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, Mary Putt, Noora Marcus, David Grande, J. Sanford Schwartz, Chanita Hughes Halbert and Craig Evan Pollack. Their work appears in journals such as Cancer, The Lancet Oncology and International Journal of Radiation Oncology*Biology*Physics.
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.