Matthew S. Reeves
- Nutrition and Dietetics top 2%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Kevin C. MakiMildred V. FarmerMary R. DicklinJames M. McKenneyTia M. RainsBarry C. LubinDonna M. WilderValerie N. Kaden
- Topics
- Food composition and properties (6 papers)Lipoproteins and Cardiovascular Health (5 papers)Diet and metabolism studies (4 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Matthew S. Reeves
23 papers receiving 832 citations
Peers
Comparison fields: 5 of 85
- Nutrition and Dietetics 366
- Physiology 243
- Endocrinology, Diabetes and Metabolism 219
- Public Health, Environmental and Occupational Health 204
- Pathology and Forensic Medicine 161
Countries citing papers authored by Matthew S. Reeves
This map shows the geographic impact of Matthew S. Reeves'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 Matthew S. Reeves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Reeves more than expected).
Fields of papers citing papers by Matthew S. Reeves
This network shows the impact of papers produced by Matthew S. Reeves. 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 Matthew S. Reeves. The network helps show where Matthew S. Reeves may publish in the future.
Co-authorship network of co-authors of Matthew S. Reeves
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Reeves. A scholar is included among the top collaborators of Matthew S. Reeves 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 Matthew S. Reeves. Matthew S. Reeves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 6 | |
| 3 | 26 | |
| 4 | 27 | |
| 5 | 132 | |
| 6 | 23 | |
| 7 | 18 | |
| 8 | 47 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 192 | |
| 13 | 121 | |
| 14 | 54 | |
| 15 | 70 | |
| 16 | 16 | |
| 17 | 27 | |
| 18 | 60 | |
| 19 | Glycaemic control with intensified conventional therapy | 1 |
| 20 | 7 |
About Matthew S. Reeves
Matthew S. Reeves is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 23 papers that have together received 910 indexed citations. Recurring topics across this work include Food composition and properties (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Nutrition and Dietetics (366 citations), Biochemistry (108 citations) and Endocrinology, Diabetes and Metabolism (219 citations). Matthew S. Reeves has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Kevin C. Maki, Mildred V. Farmer, Mary R. Dicklin, James M. McKenney, Tia M. Rains, Barry C. Lubin, Donna M. Wilder, Valerie N. Kaden, Yolanda Cartwright and Koichi Yasunaga. Their work appears in journals such as Diabetes Care, The FASEB Journal and Journal of Nutrition.
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.