R W Milne
- Surgery top 1%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Cancer Research top 2%
- Co-authors
- Yves L. MarcelAlan R. TallP K WeechRobert W. MahleyMireille HogueT L InnerarityRichard ThéolisY L Marcel
- Topics
- Lipoproteins and Cardiovascular Health (18 papers)Glycosylation and Glycoproteins Research (13 papers)Monoclonal and Polyclonal Antibodies Research (13 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
R W Milne
64 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Surgery 2.2k
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 1.9k
- Cardiology and Cardiovascular Medicine 1000
- Cancer Research 990
Countries citing papers authored by R W Milne
This map shows the geographic impact of R W Milne'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 R W Milne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R W Milne more than expected).
Fields of papers citing papers by R W Milne
This network shows the impact of papers produced by R W Milne. 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 R W Milne. The network helps show where R W Milne may publish in the future.
Co-authorship network of co-authors of R W Milne
This figure shows the co-authorship network connecting the top 25 collaborators of R W Milne. A scholar is included among the top collaborators of R W Milne 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 R W Milne. R W Milne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The effects of benfotiamine in attenuating hyperglycemia-induced cardiac pathology | 3 |
| 2 | 7 | |
| 3 | 158 | |
| 4 | 159 | |
| 5 | 74 | |
| 6 | 1 | |
| 7 | 57 | |
| 8 | 57 | |
| 9 | 197 | |
| 10 | 78 | |
| 11 | 36 | |
| 12 | 114 | |
| 13 | 78 | |
| 14 | 29 | |
| 15 | 39 | |
| 16 | 40 | |
| 17 | Complete protein sequence and identification of structural domains of human apolipoprotein Bbreakdown → | 533 |
| 18 | 35 | |
| 19 | 236 | |
| 20 | 58 |
About R W Milne
R W Milne is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 64 papers that have together received 5.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (18 papers), Glycosylation and Glycoproteins Research (13 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Cancer Research (990 citations) and Surgery (2.2k citations). R W Milne has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Yves L. Marcel, Alan R. Tall, P K Weech, Robert W. Mahley, Mireille Hogue, T L Innerarity, Richard Théolis, Y L Marcel, Karl H. Weisgraber and James T. Sparrow. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.