Anna M. D'souza
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Endocrine and Autonomic Systems top 5%
- Epidemiology
- Surgery
- Co-authors
- Michael C. RiddellJonathan E. CampbellTimothy J. KiefferAshley J. PeckettThomas J. HawkeUrsula NeumannMaria M. GlavasJacqueline L. Beaudry
- Topics
- Adipose Tissue and Metabolism (9 papers)Regulation of Appetite and Obesity (8 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)
- Cited by
- Endocrine and Autonomic SystemsBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Journals
- EndocrinologyAmerican Journal of Physiology-Cell PhysiologyEuropean Journal of Neuroscience
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Anna M. D'souza
15 papers receiving 809 citations
Peers
Comparison fields: 5 of 88
- Physiology 376
- Endocrinology, Diabetes and Metabolism 284
- Endocrine and Autonomic Systems 189
- Epidemiology 176
- Surgery 126
Countries citing papers authored by Anna M. D'souza
This map shows the geographic impact of Anna M. D'souza'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 Anna M. D'souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna M. D'souza more than expected).
Fields of papers citing papers by Anna M. D'souza
This network shows the impact of papers produced by Anna M. D'souza. 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 Anna M. D'souza. The network helps show where Anna M. D'souza may publish in the future.
Co-authorship network of co-authors of Anna M. D'souza
This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. D'souza. A scholar is included among the top collaborators of Anna M. D'souza 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 Anna M. D'souza. Anna M. D'souza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 146 | |
| 4 | 1 | |
| 5 | 32 | |
| 6 | 70 | |
| 7 | 25 | |
| 8 | Economic implications of weight change in patients with type 2 diabetes mellitus. | 14 |
| 9 | 32 | |
| 10 | 80 | |
| 11 | 67 | |
| 12 | Am J Physiol Regulatory Integrative Comp Physiol | 41 |
| 13 | 49 | |
| 14 | 192 | |
| 15 | 68 |
About Anna M. D'souza
Anna M. D'souza is a scholar working on Endocrine and Autonomic Systems, Physiology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 826 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (189 citations), Behavioral Neuroscience (84 citations) and Endocrinology, Diabetes and Metabolism (284 citations). Anna M. D'souza has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Michael C. Riddell, Jonathan E. Campbell, Timothy J. Kieffer, Ashley J. Peckett, Thomas J. Hawke, Ursula Neumann, Maria M. Glavas, Jacqueline L. Beaudry, Michael A. Kiràly and Mladen Vranić. Their work appears in journals such as Endocrinology, American Journal of Physiology-Cell Physiology and European Journal of Neuroscience.
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.