Joe Kai
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
- Surgery 22
- Lipoproteins and Cardiovascular Health 22
- Co-authors
- Nadeem Qureshi (59 shared papers)Stephen Weng (33 shared papers)Jonathan M. Garibaldi (1 shared paper)Jenna Reps (1 shared paper)Ralph Kwame Akyea (23 shared papers)Jane Daniels (9 shared papers)Helen Pattison (5 shared papers)Ann Crosland (3 shared papers)
- Journals
- British Journal of General Practice (11 papers)BMJ Open (8 papers)Medical Education (7 papers)PLoS ONE (6 papers)Family Practice (5 papers)
- Partner nations
- United KingdomMalaysiaUnited States
In The Last Decade
Joe Kai
147 papers receiving 4.6k citations
Joe Kai's Hit Papers
Peers
Comparison fields: 5 of 163
- Health Informatics 146
- Health Information Management 398
- Applied Microbiology and Biotechnology 89
- Obstetrics and Gynecology 201
- Critical Care and Intensive Care Medicine 127
Countries citing papers authored by Joe Kai
This map shows the geographic impact of Joe Kai'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 Joe Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Kai more than expected).
Fields of papers citing papers by Joe Kai
This network shows the impact of papers produced by Joe Kai. 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 Joe Kai. The network helps show where Joe Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Joe Kai, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Can machine-learning improve cardiovascular risk prediction using routine clinical data? Hit paper breakdown → | 2017 | 918 |
| 2 | A randomised controlled trial of the clinical effectiveness and cost-effectiveness of the levonorgestrel-releasing intrauterine system in primary care against standard treatment for menorrhagia: the ECLIPSE trial Hit paper breakdown → | 2015 | 300 |
| 3 | 1996 | 214 | |
| 4 | 1996 | 170 | |
| 5 | 2007 | 135 | |
| 6 | 2013 | 119 | |
| 7 | 2006 | 100 | |
| 8 | 2019 | 91 | |
| 9 | Perspectives of people with enduring mental ill health from a community-based qualitative study. | 2001 | 79 |
| 10 | 2014 | 76 | |
| 11 | 2019 | 75 | |
| 12 | 1999 | 66 | |
| 13 | 2013 | 64 | |
| 14 | 2015 | 64 | |
| 15 | 2011 | 61 | |
| 16 | 2009 | 61 | |
| 17 | 2015 | 59 | |
| 18 | 2011 | 59 | |
| 19 | 2013 | 59 | |
| 20 | 2014 | 53 |
About Joe Kai
Joe Kai is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Genetics and General Health Professions, having authored 152 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (22 papers), Cultural Competency in Health Care (9 papers), Uterine Myomas and Treatments (9 papers), Hemoglobinopathies and Related Disorders (8 papers), BRCA gene mutations in cancer (6 papers), Genomics and Rare Diseases (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). The work is most often cited by research in Health Informatics (146 citations), Health Information Management (398 citations), Applied Microbiology and Biotechnology (89 citations), Obstetrics and Gynecology (201 citations) and Critical Care and Intensive Care Medicine (127 citations). Joe Kai has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent co-authors include Nadeem Qureshi, Stephen Weng, Jonathan M. Garibaldi, Jenna Reps, Ralph Kwame Akyea, Jane Daniels, Helen Pattison, Ann Crosland, Janesh Gupta and Lee Middleton. Their work appears in journals such as British Journal of General Practice, BMJ Open, Medical Education, PLoS ONE and Family Practice.
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.