Christopher J. de Souza
- Physiology top 10%
- Molecular Biology
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Karen GagenBryan F. BurkeyMei DongDidier LaurentWei ChenAlbert MeierEdward S. HortonMichael F. Hirshman
- Topics
- Adipose Tissue and Metabolism (8 papers)Pancreatic function and diabetes (6 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Christopher J. de Souza
16 papers receiving 604 citations
Peers
Comparison fields: 5 of 71
- Physiology 331
- Molecular Biology 288
- Epidemiology 179
- Endocrinology, Diabetes and Metabolism 133
- Endocrine and Autonomic Systems 84
Countries citing papers authored by Christopher J. de Souza
This map shows the geographic impact of Christopher J. de 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 Christopher J. de Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. de Souza more than expected).
Fields of papers citing papers by Christopher J. de Souza
This network shows the impact of papers produced by Christopher J. de 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 Christopher J. de Souza. The network helps show where Christopher J. de Souza may publish in the future.
Co-authorship network of co-authors of Christopher J. de Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. de Souza. A scholar is included among the top collaborators of Christopher J. de 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 Christopher J. de Souza. Christopher J. de 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 | 14 | |
| 2 | 15 | |
| 3 | 301 | |
| 4 | 30 | |
| 5 | 7 | |
| 6 | 33 | |
| 7 | 11 | |
| 8 | 19 | |
| 9 | 79 | |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 37 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 38 |
About Christopher J. de Souza
Christopher J. de Souza is a scholar working on Endocrine and Autonomic Systems, Physiology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 633 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Pancreatic function and diabetes (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Physiology (331 citations), Endocrine and Autonomic Systems (84 citations) and Endocrinology, Diabetes and Metabolism (133 citations). Christopher J. de Souza has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Karen Gagen, Bryan F. Burkey, Mei Dong, Didier Laurent, Wei Chen, Albert Meier, Edward S. Horton, Michael F. Hirshman, Martin D. Meglasson and Susanne G. Straub. Their work appears in journals such as Diabetes, Journal of Pharmacology and Experimental Therapeutics and Human Reproduction.
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.