N.J. Bibby
- Genetics top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Nutrition and Dietetics
- Co-authors
- Shiva ReddyRobert B. ElliottR.B. ElliottH. WasmuthJeremy P. HillKaichi KidaPeter M. BarlingDavid Wu
- Topics
- Pancreatic function and diabetes (10 papers)Diabetes and associated disorders (9 papers)Diabetes Management and Research (4 papers)
- Partner nations
- New ZealandJapanGermany
In The Last Decade
N.J. Bibby
15 papers receiving 498 citations
Peers
Comparison fields: 5 of 70
- Genetics 339
- Surgery 225
- Endocrinology, Diabetes and Metabolism 184
- Molecular Biology 139
- Nutrition and Dietetics 73
Countries citing papers authored by N.J. Bibby
This map shows the geographic impact of N.J. Bibby'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. Bibby 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. Bibby more than expected).
Fields of papers citing papers by N.J. Bibby
This network shows the impact of papers produced by N.J. Bibby. 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. Bibby. The network helps show where N.J. Bibby may publish in the future.
Co-authorship network of co-authors of N.J. Bibby
This figure shows the co-authorship network connecting the top 25 collaborators of N.J. Bibby. A scholar is included among the top collaborators of N.J. Bibby 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. Bibby. N.J. Bibby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 156 | |
| 2 | The role of beta-casein variants in the induction of insulin-dependent diabetes in the non-obese diabetic mouse and humans | 18 |
| 3 | 30 | |
| 4 | 10 | |
| 5 | 16 | |
| 6 | Early nicotinamide treatment in the NOD mouse: effects on diabetes and insulitis suppression and autoantibody levels. | 21 |
| 7 | 16 | |
| 8 | 50 | |
| 9 | 24 | |
| 10 | 115 | |
| 11 | 9 | |
| 12 | 13 | |
| 13 | Cellular distribution of insulin, glucagon, pancreatic polypeptide hormone and somatostatin in the fetal and adult pancreas of the guinea pig: a comparative immunohistochemical study. | 20 |
| 14 | 2 | |
| 15 | 30 |
About N.J. Bibby
N.J. Bibby is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 15 papers that have together received 530 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Genetics (339 citations), Endocrinology, Diabetes and Metabolism (184 citations) and Agronomy and Crop Science (62 citations). N.J. Bibby has collaborated with scholars based in New Zealand, Japan and Germany. Frequent co-authors include Shiva Reddy, Robert B. Elliott, R.B. Elliott, H. Wasmuth, Jeremy P. Hill, Kaichi Kida, Peter M. Barling, David Wu, John Thompson and Robert B. Elliott. Their work appears in journals such as Diabetologia, Calcified Tissue International and Clinical & Experimental Immunology.
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.