Jean A. Paterson
- Developmental Neuroscience top 1%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Cancer Research
- Co-authors
- C. P. LeblondAlain PrivatEng‐Ang LingRobert P. C. ShiuShuji MoriKikuko ImamotoAlaa El-HusseiniPeter H. Watson
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Cancer, Hypoxia, and Metabolism (3 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jean A. Paterson
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 435
- Molecular Biology 391
- Cellular and Molecular Neuroscience 318
- Neurology 257
- Cancer Research 145
Countries citing papers authored by Jean A. Paterson
This map shows the geographic impact of Jean A. Paterson'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 Jean A. Paterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean A. Paterson more than expected).
Fields of papers citing papers by Jean A. Paterson
This network shows the impact of papers produced by Jean A. Paterson. 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 Jean A. Paterson. The network helps show where Jean A. Paterson may publish in the future.
Co-authorship network of co-authors of Jean A. Paterson
This figure shows the co-authorship network connecting the top 25 collaborators of Jean A. Paterson. A scholar is included among the top collaborators of Jean A. Paterson 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 Jean A. Paterson. Jean A. Paterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 77 | |
| 2 | 5 | |
| 3 | 127 | |
| 4 | 5 | |
| 5 | 39 | |
| 6 | 54 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | Alteration of cell shape, adhesion, and lipid accumulation in human breast cancer cells (T-47D) by human prolactin and growth hormone. | 46 |
| 13 | 8 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 123 | |
| 18 | 68 | |
| 19 | 364 | |
| 20 | 227 |
About Jean A. Paterson
Jean A. Paterson is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Developmental Neuroscience (435 citations), Neurology (257 citations) and Cellular and Molecular Neuroscience (318 citations). Jean A. Paterson has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include C. P. Leblond, Alain Privat, Eng‐Ang Ling, Robert P. C. Shiu, Shuji Mori, Kikuko Imamoto, Alaa El-Husseini, Peter H. Watson, Michel Chrétien and Min Cheng. Their work appears in journals such as The Journal of Comparative Neurology, Endocrinology and International Journal of Cancer.
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.