N. J. Howard
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Surgery
- Cardiology and Cardiovascular Medicine
- Ophthalmology top 5%
- Co-authors
- Martin SilinkKim C. DonaghueJan FairchildStephen HingMary‐Ann BonneyCharles F. VergeMaria E. CraigJ. Schwingshandl
- Topics
- Diabetes Management and Research (6 papers)Diabetes and associated disorders (6 papers)Heart Rate Variability and Autonomic Control (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetologiaArchives of Disease in Childhood
- Partner nations
- AustraliaSingaporeUnited Kingdom
In The Last Decade
N. J. Howard
21 papers receiving 594 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 327
- Genetics 268
- Surgery 210
- Cardiology and Cardiovascular Medicine 77
- Ophthalmology 68
Countries citing papers authored by N. J. Howard
This map shows the geographic impact of N. J. Howard'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 N. J. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. J. Howard more than expected).
Fields of papers citing papers by N. J. Howard
This network shows the impact of papers produced by N. J. Howard. 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 N. J. Howard. The network helps show where N. J. Howard may publish in the future.
Co-authorship network of co-authors of N. J. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of N. J. Howard. A scholar is included among the top collaborators of N. J. Howard 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 N. J. Howard. N. J. Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Modelling Age at First Marriage among Ghanaians in Urban Southern Ghana | 1 |
| 2 | 28 | |
| 3 | 23 | |
| 4 | 57 | |
| 5 | 32 | |
| 6 | 38 | |
| 7 | 37 | |
| 8 | 24 | |
| 9 | 42 | |
| 10 | 33 | |
| 11 | 29 | |
| 12 | 110 | |
| 13 | 16 | |
| 14 | 57 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | Use of calcium carbonate as a phosphate binder in dialysis patients. | 47 |
| 18 | 5 | |
| 19 | 31 | |
| 20 | 3 |
About N. J. Howard
N. J. Howard is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and Manual Therapy and Ophthalmology, having authored 21 papers that have together received 625 indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Diabetes and associated disorders (6 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (327 citations), Genetics (268 citations) and Ophthalmology (68 citations). N. J. Howard has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Martin Silink, Kim C. Donaghue, Jan Fairchild, Stephen Hing, Mary‐Ann Bonney, Charles F. Verge, Maria E. Craig, J. Schwingshandl, Albert K. Chan and Ilja Hulinsky. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetologia and Archives of Disease in Childhood.
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.