Sandra C. Souza
- Physiology top 1%
- Molecular Biology top 10%
- Biochemistry top 0.2%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Andrew S. GreenbergMartin S. ObinFredric B. KraemerHideaki MiyoshiSusan K. FriedMark AronovitzWen‐Jun ShenRichard A. Roth
- Topics
- Lipid metabolism and biosynthesis (14 papers)Adipose Tissue and Metabolism (13 papers)Metabolism, Diabetes, and Cancer (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Sandra C. Souza
30 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 108
- Physiology 1.6k
- Molecular Biology 1.2k
- Biochemistry 1.2k
- Epidemiology 670
- Endocrinology, Diabetes and Metabolism 456
Countries citing papers authored by Sandra C. Souza
This map shows the geographic impact of Sandra C. 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 Sandra C. Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra C. Souza more than expected).
Fields of papers citing papers by Sandra C. Souza
This network shows the impact of papers produced by Sandra C. 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 Sandra C. Souza. The network helps show where Sandra C. Souza may publish in the future.
Co-authorship network of co-authors of Sandra C. Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra C. Souza. A scholar is included among the top collaborators of Sandra C. 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 Sandra C. Souza. Sandra C. 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 | 19 | |
| 2 | 32 | |
| 3 | 71 | |
| 4 | 212 | |
| 5 | 42 | |
| 6 | 73 | |
| 7 | 252 | |
| 8 | 234 | |
| 9 | 119 | |
| 10 | 408 | |
| 11 | 24 | |
| 12 | 117 | |
| 13 | 205 | |
| 14 | 286 | |
| 15 | 244 | |
| 16 | 147 | |
| 17 | 21 | |
| 18 | 39 | |
| 19 | 100 | |
| 20 | 10 |
About Sandra C. Souza
Sandra C. Souza is a scholar working on Biochemistry, Physiology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (14 papers), Adipose Tissue and Metabolism (13 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Biochemistry (1.2k citations), Physiology (1.6k citations) and Endocrinology, Diabetes and Metabolism (456 citations). Sandra C. Souza has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Andrew S. Greenberg, Martin S. Obin, Fredric B. Kraemer, Hideaki Miyoshi, Susan K. Fried, Mark Aronovitz, Wen‐Jun Shen, Richard A. Roth, Shailja Patel and Julia Kovsan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.