Weiming Ke
Impact in
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- Glioma Diagnosis and Treatment
Papers in
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- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Michikazu Nakai (2 shared papers)Jianrong Wu (1 shared paper)Larry E. Kun (1 shared paper)Christine Fuller (1 shared paper)Alberto Broniscer (1 shared paper)Amar Gajjar (1 shared paper)Jocelyn Shealy McGee (4 shared papers)Lih-Geeng Chen (1 shared paper)
- Journals
- Journal of Pediatric Oncology Nursing (2 papers)Cancer (1 paper)Research in Nursing & Health (1 paper)Cancer Nursing (1 paper)Chemical and Pharmaceutical Bulletin (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Weiming Ke
23 papers receiving 292 citations
Peers
Comparison fields: 5 of 106
- Research and Theory 10
- Genetics 60
- Family Practice 8
- Leadership and Management 4
- Statistics and Probability 21
Countries citing papers authored by Weiming Ke
This map shows the geographic impact of Weiming Ke'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 Weiming Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Ke more than expected).
Fields of papers citing papers by Weiming Ke
This network shows the impact of papers produced by Weiming Ke. 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 Weiming Ke. The network helps show where Weiming Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiming Ke, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 75 | |
| 2 | Review of the Methods for Handling Missing Data in Longitudinal Data Analysis | 2011 | 60 |
| 3 | 2007 | 32 | |
| 4 | 2022 | 17 | |
| 5 | 2016 | 14 | |
| 6 | 2004 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2019 | 11 | |
| 9 | Statistical Models for Longitudinal Data Analysis | 2009 | 8 |
| 10 | 2018 | 7 | |
| 11 | 2008 | 7 | |
| 12 | 1998 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2004 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2007 | 3 | |
| 20 | 2019 | 3 |
About Weiming Ke
Weiming Ke is a scholar working on Epidemiology, General Health Professions, Social Psychology, Statistics and Probability and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 298 indexed citations. Recurring topics across this work include Medication Adherence and Compliance (3 papers), Statistical Methods and Inference (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Statistical Methods and Bayesian Inference (2 papers), Heart Failure Treatment and Management (2 papers), Hepatitis C virus research (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Psychological Well-being and Life Satisfaction (2 papers). The work is most often cited by research in Research and Theory (10 citations), Genetics (60 citations), Family Practice (8 citations), Leadership and Management (4 citations) and Statistics and Probability (21 citations). Weiming Ke has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Michikazu Nakai, Jianrong Wu, Larry E. Kun, Christine Fuller, Alberto Broniscer, Amar Gajjar, Jocelyn Shealy McGee, Lih-Geeng Chen, Kathryn Osteen and Lingling Yang. Their work appears in journals such as Journal of Pediatric Oncology Nursing, Cancer, Research in Nursing & Health, Cancer Nursing and Chemical and Pharmaceutical Bulletin.
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.