Keith Grimaldi
- Physiology top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Cell Biology top 5%
- Genetics top 5%
- Co-authors
- Antonio PaoliJeff S. VolekAlessandro RubiniAntonino BiancoJohn A. HartleyLorenzo CenciTatiana MoroJohn C. Hutton
- Topics
- Diet and metabolism studies (18 papers)DNA Repair Mechanisms (11 papers)Nutrition, Genetics, and Disease (11 papers)
- Partner nations
- United KingdomGreeceItaly
In The Last Decade
Keith Grimaldi
55 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Physiology 1.2k
- Molecular Biology 621
- Endocrinology, Diabetes and Metabolism 479
- Cell Biology 458
- Genetics 421
Countries citing papers authored by Keith Grimaldi
This map shows the geographic impact of Keith Grimaldi'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 Keith Grimaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Grimaldi more than expected).
Fields of papers citing papers by Keith Grimaldi
This network shows the impact of papers produced by Keith Grimaldi. 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 Keith Grimaldi. The network helps show where Keith Grimaldi may publish in the future.
Co-authorship network of co-authors of Keith Grimaldi
This figure shows the co-authorship network connecting the top 25 collaborators of Keith Grimaldi. A scholar is included among the top collaborators of Keith Grimaldi 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 Keith Grimaldi. Keith Grimaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | Expression pattern analysis of odorant-binding proteins in the pea aphid Acyrthosiphon pisum | 18 |
| 5 | Influence of Quince Rootstocks on Entomosporium Leaf Spot （Entomosporium mespili） Susceptibility in European Pear cv. Abate Fetel | 0 |
| 6 | 26 | |
| 7 | Beyond weight loss: a review of the therapeutic uses of very-low-carbohydrate (ketogenic) dietsbreakdown → | 581 |
| 8 | 44 | |
| 9 | 30 | |
| 10 | 66 | |
| 11 | 28 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | 1 | |
| 18 | 28 | |
| 19 | 37 | |
| 20 | 18 |
About Keith Grimaldi
Keith Grimaldi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diet and metabolism studies (18 papers), DNA Repair Mechanisms (11 papers) and Nutrition, Genetics, and Disease (11 papers). The work is most often cited by research in Physiology (1.2k citations), Endocrinology, Diabetes and Metabolism (479 citations) and Cell Biology (458 citations). Keith Grimaldi has collaborated with scholars based in United Kingdom, Greece and Italy. Frequent co-authors include Antonio Paoli, Jeff S. Volek, Alessandro Rubini, Antonino Bianco, John A. Hartley, Lorenzo Cenci, Tatiana Moro, John C. Hutton, Antonio Palma and Lloyd R. Kèlland. Their work appears in journals such as Nucleic Acids Research, Analytical Biochemistry and Biochemical Journal.
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.