Kevin C. Maki
- Surgery top 0.5%
- Nutrition and Dietetics top 0.05%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Physiology top 0.5%
- Public Health, Environmental and Occupational Health top 0.5%
- Co-authors
- Michael H. DavidsonMary R. DicklinTia M. RainsHarold BaysTerry A. JacobsonJames M. McKenneyCarl E. OrringerSanjiv Agarwal
- Topics
- Lipoproteins and Cardiovascular Health (74 papers)Diet and metabolism studies (68 papers)Nutritional Studies and Diet (65 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Kevin C. Maki
268 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Surgery 3.4k
- Nutrition and Dietetics 3.3k
- Endocrinology, Diabetes and Metabolism 3.1k
- Physiology 2.4k
- Public Health, Environmental and Occupational Health 1.8k
Countries citing papers authored by Kevin C. Maki
This map shows the geographic impact of Kevin C. Maki'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 Kevin C. Maki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin C. Maki more than expected).
Fields of papers citing papers by Kevin C. Maki
This network shows the impact of papers produced by Kevin C. Maki. 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 Kevin C. Maki. The network helps show where Kevin C. Maki may publish in the future.
Co-authorship network of co-authors of Kevin C. Maki
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin C. Maki. A scholar is included among the top collaborators of Kevin C. Maki 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 Kevin C. Maki. Kevin C. Maki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 30 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 53 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 42 | |
| 13 | 15 | |
| 14 | 50 | |
| 15 | 6 | |
| 16 | Effects of Type 2 Resistant Starch Consumption on Insulin Sensitivity in Men and Women | 2 |
| 17 | 27 | |
| 18 | 55 | |
| 19 | 23 | |
| 20 | Colesevelam HCl Decreases Atherosclerosis and May Activate Reverse Cholesterol Transport in Cholesterol-Fed Rabbits | 8 |
About Kevin C. Maki
Kevin C. Maki is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 282 papers that have together received 10.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (74 papers), Diet and metabolism studies (68 papers) and Nutritional Studies and Diet (65 papers). The work is most often cited by research in Nutrition and Dietetics (3.3k citations), Endocrinology, Diabetes and Metabolism (3.1k citations) and Biochemistry (602 citations). Kevin C. Maki has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael H. Davidson, Mary R. Dicklin, Tia M. Rains, Harold Bays, Terry A. Jacobson, James M. McKenney, Carl E. Orringer, Sanjiv Agarwal, Matthew S. Reeves and W. Virgil Brown. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.