J. Harland
- Public Health, Environmental and Occupational Health top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- General Health Professions top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Martin WhiteNigel UnwinChris DrinkwaterD. J. ChinnK. G. M. M. AlbertiR. BhopalDenise HowelM F Laker
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Health Promotion and Cardiovascular Prevention (5 papers)Physical Activity and Health (4 papers)
- Partner nations
- United KingdomAustraliaAustria
In The Last Decade
J. Harland
15 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Public Health, Environmental and Occupational Health 588
- Endocrinology, Diabetes and Metabolism 489
- Physiology 469
- General Health Professions 351
- Cardiology and Cardiovascular Medicine 312
Countries citing papers authored by J. Harland
This map shows the geographic impact of J. Harland'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 J. Harland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Harland more than expected).
Fields of papers citing papers by J. Harland
This network shows the impact of papers produced by J. Harland. 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 J. Harland. The network helps show where J. Harland may publish in the future.
Co-authorship network of co-authors of J. Harland
This figure shows the co-authorship network connecting the top 25 collaborators of J. Harland. A scholar is included among the top collaborators of J. Harland 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 J. Harland. J. Harland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 98 | |
| 3 | 158 | |
| 4 | 129 | |
| 5 | Ethnic and socio-economic inequalities in coronary heart disease, diabetes and risk factors in Europeans and South Asians. Journal of public health medicine | 6 |
| 6 | 166 | |
| 7 | 276 | |
| 8 | 458 | |
| 9 | 69 | |
| 10 | 67 | |
| 11 | 76 | |
| 12 | 13 | |
| 13 | 53 | |
| 14 | Cholesterol and lipoprotein(a) as risk factors for coronary heart disease in elderly subjects. | 2 |
| 15 | 130 |
About J. Harland
J. Harland is a scholar working on Applied Psychology, Endocrinology, Diabetes and Metabolism and Health, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Health Promotion and Cardiovascular Prevention (5 papers) and Physical Activity and Health (4 papers). The work is most often cited by research in Applied Psychology (162 citations), Endocrinology, Diabetes and Metabolism (489 citations) and Pharmacy (137 citations). J. Harland has collaborated with scholars based in United Kingdom, Australia and Austria. Frequent co-authors include Martin White, Nigel Unwin, Chris Drinkwater, D. J. Chinn, K. G. M. M. Alberti, R. Bhopal, Denise Howel, M F Laker, Lynne Farr and Catherine Turner. Their work appears in journals such as Journal of Epidemiology & Community Health, Atherosclerosis and Diabetic 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.