Natalie Grima
- Cardiology and Cardiovascular Medicine top 10%
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Physiology top 10%
- Nutrition and Dietetics top 5%
- Co-authors
- Matthew P. PaseJerome SarrisAndrew PipingasJennie PonsfordDarren MansfieldShantha M. W. RajaratnamCon StoughAndrew Scholey
- Topics
- Sleep and related disorders (16 papers)Amyotrophic Lateral Sclerosis Research (9 papers)Cardiovascular Health and Disease Prevention (8 papers)
- Cited by
- Endocrine and Autonomic SystemsExperimental and Cognitive PsychologyCardiology and Cardiovascular Medicine
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Natalie Grima
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 297
- Experimental and Cognitive Psychology 256
- Cognitive Neuroscience 229
- Physiology 228
- Nutrition and Dietetics 195
Countries citing papers authored by Natalie Grima
This map shows the geographic impact of Natalie Grima'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 Natalie Grima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Grima more than expected).
Fields of papers citing papers by Natalie Grima
This network shows the impact of papers produced by Natalie Grima. 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 Natalie Grima. The network helps show where Natalie Grima may publish in the future.
Co-authorship network of co-authors of Natalie Grima
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Grima. A scholar is included among the top collaborators of Natalie Grima 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 Natalie Grima. Natalie Grima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 10 | |
| 11 | 28 | |
| 12 | 23 | |
| 13 | 16 | |
| 14 | 96 | |
| 15 | 16 | |
| 16 | 45 | |
| 17 | 18 | |
| 18 | 24 | |
| 19 | 90 | |
| 20 | 100 |
About Natalie Grima
Natalie Grima is a scholar working on Experimental and Cognitive Psychology, Endocrine and Autonomic Systems and Genetics, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sleep and related disorders (16 papers), Amyotrophic Lateral Sclerosis Research (9 papers) and Cardiovascular Health and Disease Prevention (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (178 citations), Experimental and Cognitive Psychology (256 citations) and Cardiology and Cardiovascular Medicine (297 citations). Natalie Grima has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Matthew P. Pase, Jerome Sarris, Andrew Pipingas, Jennie Ponsford, Darren Mansfield, Shantha M. W. Rajaratnam, Con Stough, Andrew Scholey, Annie Herbert and M. F. OʼRourke. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Neurology.
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.