J.H. Fuller
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Obstetrics and Gynecology top 5%
- Reproductive Medicine top 10%
- Co-authors
- H. KeenSimone MarnitzChristina RothC. KöhlerW. HinkelbeinAxel SchneiderR. J. JarrettB Thomas
- Topics
- Lipoproteins and Cardiovascular Health (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Diabetes Treatment and Management (2 papers)
- Cited by
- Obstetrics and GynecologyEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Journals
- The LancetDiabetesAtherosclerosis
- Partner nations
- United KingdomAustraliaDenmark
In The Last Decade
J.H. Fuller
11 papers receiving 443 citations
Peers
Comparison fields: 5 of 58
- Surgery 169
- Cardiology and Cardiovascular Medicine 162
- Endocrinology, Diabetes and Metabolism 155
- Obstetrics and Gynecology 131
- Reproductive Medicine 59
Countries citing papers authored by J.H. Fuller
This map shows the geographic impact of J.H. Fuller'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.H. Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.H. Fuller more than expected).
Fields of papers citing papers by J.H. Fuller
This network shows the impact of papers produced by J.H. Fuller. 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.H. Fuller. The network helps show where J.H. Fuller may publish in the future.
Co-authorship network of co-authors of J.H. Fuller
This figure shows the co-authorship network connecting the top 25 collaborators of J.H. Fuller. A scholar is included among the top collaborators of J.H. Fuller 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.H. Fuller. J.H. Fuller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 132 | |
| 3 | 85 | |
| 4 | [Effect of lisinopril on progression of retinopathy and microalbuminuria in normotensive subjects with insulin-dependent diabetes mellitus]. | 8 |
| 5 | 116 | |
| 6 | 34 | |
| 7 | 79 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | The concomitants of raised blood sugar: studies in newly-detected hyperglycaemics. I. A comparative assessment of neurological functions in blood sugar groups. | 4 |
About J.H. Fuller
J.H. Fuller is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Rheumatology, having authored 11 papers that have together received 479 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Obstetrics and Gynecology (131 citations), Endocrinology, Diabetes and Metabolism (155 citations) and Cardiology and Cardiovascular Medicine (162 citations). J.H. Fuller has collaborated with scholars based in United Kingdom, Australia and Denmark. Frequent co-authors include H. Keen, Simone Marnitz, Christina Roth, C. Köhler, W. Hinkelbein, Axel Schneider, R. J. Jarrett, B Thomas, Nish Chaturvedi and Andrea Manto. Their work appears in journals such as The Lancet, Diabetes and Atherosclerosis.
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.