Nathan M. D’Cunha
- Food Science top 5%
- Biomaterials top 5%
- Physiology top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Nenad NaumovskiAndrew J. McKuneEkavi GeorgousopoulouAnka Trajkovska PetkoskaDavor DaniloskiJane KellettAnita Trajkovska‐BroachDuane Mellor
- Topics
- Dementia and Cognitive Impairment Research (17 papers)Nutritional Studies and Diet (12 papers)Geriatric Care and Nursing Homes (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of PhysiologyNeuroscience & Biobehavioral Reviews
- Partner nations
- AustraliaGreeceSouth Africa
In The Last Decade
Nathan M. D’Cunha
73 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Food Science 296
- Biomaterials 284
- Physiology 277
- Molecular Biology 260
- Public Health, Environmental and Occupational Health 251
Countries citing papers authored by Nathan M. D’Cunha
This map shows the geographic impact of Nathan M. D’Cunha'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 Nathan M. D’Cunha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan M. D’Cunha more than expected).
Fields of papers citing papers by Nathan M. D’Cunha
This network shows the impact of papers produced by Nathan M. D’Cunha. 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 Nathan M. D’Cunha. The network helps show where Nathan M. D’Cunha may publish in the future.
Co-authorship network of co-authors of Nathan M. D’Cunha
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan M. D’Cunha. A scholar is included among the top collaborators of Nathan M. D’Cunha 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 Nathan M. D’Cunha. Nathan M. D’Cunha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 24 | |
| 7 | 39 | |
| 8 | 46 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 24 | |
| 13 | 26 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 28 | |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 127 |
About Nathan M. D’Cunha
Nathan M. D’Cunha is a scholar working on Neuropsychology and Physiological Psychology, Biological Psychiatry and Psychiatry and Mental health, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (17 papers), Nutritional Studies and Diet (12 papers) and Geriatric Care and Nursing Homes (12 papers). The work is most often cited by research in Biological Psychiatry (87 citations), Neuropsychology and Physiological Psychology (45 citations) and Biochemistry (178 citations). Nathan M. D’Cunha has collaborated with scholars based in Australia, Greece and South Africa. Frequent co-authors include Nenad Naumovski, Andrew J. McKune, Ekavi Georgousopoulou, Anka Trajkovska Petkoska, Davor Daniloski, Jane Kellett, Anita Trajkovska‐Broach, Duane Mellor, Demosthenes B. Panagiotakos and Stephen Isbel. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Neuroscience & Biobehavioral Reviews.
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.