Neil J. Hime
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Biochemistry top 5%
- Co-authors
- Kerry‐Anne RyePhilip J. BarterGuy B. MarksChristine CowieRoland StockerLinda K. CurtissDavid T. ValentaKevin D. Croft
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Cholesterol and Lipid Metabolism (6 papers)Cancer, Lipids, and Metabolism (4 papers)
- Journals
- Journal of Biological ChemistryBiochemistryArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Neil J. Hime
23 papers receiving 975 citations
Peers
Comparison fields: 5 of 132
- Surgery 312
- Endocrinology, Diabetes and Metabolism 272
- Molecular Biology 268
- Health, Toxicology and Mutagenesis 155
- Biochemistry 125
Countries citing papers authored by Neil J. Hime
This map shows the geographic impact of Neil J. Hime'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 Neil J. Hime with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil J. Hime more than expected).
Fields of papers citing papers by Neil J. Hime
This network shows the impact of papers produced by Neil J. Hime. 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 Neil J. Hime. The network helps show where Neil J. Hime may publish in the future.
Co-authorship network of co-authors of Neil J. Hime
This figure shows the co-authorship network connecting the top 25 collaborators of Neil J. Hime. A scholar is included among the top collaborators of Neil J. Hime 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 Neil J. Hime. Neil J. Hime is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 21 | |
| 3 | 32 | |
| 4 | 48 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 233 | |
| 9 | 20 | |
| 10 | 5 | |
| 11 | 15 | |
| 12 | 15 | |
| 13 | 130 | |
| 14 | 19 | |
| 15 | 31 | |
| 16 | 77 | |
| 17 | 78 | |
| 18 | 57 | |
| 19 | 11 | |
| 20 | 1 |
About Neil J. Hime
Neil J. Hime is a scholar working on Issues, ethics and legal aspects, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 23 papers that have together received 994 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Cholesterol and Lipid Metabolism (6 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Biochemistry (125 citations), Endocrinology, Diabetes and Metabolism (272 citations) and Health, Toxicology and Mutagenesis (155 citations). Neil J. Hime has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Kerry‐Anne Rye, Philip J. Barter, Guy B. Marks, Christine Cowie, Roland Stocker, Linda K. Curtiss, David T. Valenta, Kevin D. Croft, Jonathan M. Hodgson and Wai Mun Loke. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Arteriosclerosis Thrombosis and Vascular Biology.
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.