Jeffrey T. Joseph
- Molecular Biology
- Oncology top 10%
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- Igor J. KoralnikDyann F. WirthPeter K. StysFrancisco Bernal-CanoUmberto De GirolamiSantosh KesariChristian WüthrichJoe C. Adams
- Topics
- Polyomavirus and related diseases (7 papers)Prion Diseases and Protein Misfolding (6 papers)Multiple Sclerosis Research Studies (5 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Oncology
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jeffrey T. Joseph
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 361
- Oncology 318
- Electrical and Electronic Engineering 176
- Cellular and Molecular Neuroscience 171
- Physiology 135
Countries citing papers authored by Jeffrey T. Joseph
This map shows the geographic impact of Jeffrey T. Joseph'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 Jeffrey T. Joseph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey T. Joseph more than expected).
Fields of papers citing papers by Jeffrey T. Joseph
This network shows the impact of papers produced by Jeffrey T. Joseph. 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 Jeffrey T. Joseph. The network helps show where Jeffrey T. Joseph may publish in the future.
Co-authorship network of co-authors of Jeffrey T. Joseph
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey T. Joseph. A scholar is included among the top collaborators of Jeffrey T. Joseph 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 Jeffrey T. Joseph. Jeffrey T. Joseph is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 8 | |
| 3 | 59 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 44 | |
| 12 | 21 | |
| 13 | 78 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 11 | |
| 18 | 4 | |
| 19 | 48 | |
| 20 | 7 |
About Jeffrey T. Joseph
Jeffrey T. Joseph is a scholar working on Biological Psychiatry, Neurology and Developmental Neuroscience, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (7 papers), Prion Diseases and Protein Misfolding (6 papers) and Multiple Sclerosis Research Studies (5 papers). The work is most often cited by research in Developmental Neuroscience (70 citations), Neurology (115 citations) and Transplantation (33 citations). Jeffrey T. Joseph has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Igor J. Koralnik, Dyann F. Wirth, Peter K. Stys, Francisco Bernal-Cano, Umberto De Girolami, Santosh Kesari, Christian Wüthrich, Joe C. Adams, Saumil N. Merchant and Jean K. Mah. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.