E. Tessa Hedley‐Whyte
- Neurology top 0.1%
- Physiology top 0.5%
- Epidemiology top 0.5%
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Bradley T. HymanJohn H. GrowdonPaulina V. ArriagadaDora W. HsuAnn C. McKeeHyo-Soon LeeAndrew E. BudsonChristopher J. Nowinski
- Topics
- Glioma Diagnosis and Treatment (33 papers)Pituitary Gland Disorders and Treatments (21 papers)Alzheimer's disease research and treatments (13 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Genetics
- Partner nations
- United StatesSpainFrance
In The Last Decade
E. Tessa Hedley‐Whyte
189 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Neurology 3.9k
- Physiology 3.5k
- Epidemiology 3.4k
- Molecular Biology 3.2k
- Cellular and Molecular Neuroscience 1.8k
Countries citing papers authored by E. Tessa Hedley‐Whyte
This map shows the geographic impact of E. Tessa Hedley‐Whyte'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 E. Tessa Hedley‐Whyte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Tessa Hedley‐Whyte more than expected).
Fields of papers citing papers by E. Tessa Hedley‐Whyte
This network shows the impact of papers produced by E. Tessa Hedley‐Whyte. 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 E. Tessa Hedley‐Whyte. The network helps show where E. Tessa Hedley‐Whyte may publish in the future.
Co-authorship network of co-authors of E. Tessa Hedley‐Whyte
This figure shows the co-authorship network connecting the top 25 collaborators of E. Tessa Hedley‐Whyte. A scholar is included among the top collaborators of E. Tessa Hedley‐Whyte 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 E. Tessa Hedley‐Whyte. E. Tessa Hedley‐Whyte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 30 | |
| 4 | 10 | |
| 5 | 156 | |
| 6 | 22 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 24 | |
| 10 | 6 | |
| 11 | 36 | |
| 12 | 83 | |
| 13 | 24 | |
| 14 | 63 | |
| 15 | 14 | |
| 16 | 124 | |
| 17 | 18 | |
| 18 | 8 | |
| 19 | 33 | |
| 20 | 9 |
About E. Tessa Hedley‐Whyte
E. Tessa Hedley‐Whyte is a scholar working on Neurology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 194 papers that have together received 13.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (33 papers), Pituitary Gland Disorders and Treatments (21 papers) and Alzheimer's disease research and treatments (13 papers). The work is most often cited by research in Neurology (3.9k citations), Neurology (1.5k citations) and Genetics (1.5k citations). E. Tessa Hedley‐Whyte has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Bradley T. Hyman, John H. Growdon, Paulina V. Arriagada, Dora W. Hsu, Ann C. McKee, Hyo-Soon Lee, Andrew E. Budson, Christopher J. Nowinski, Caroline A. Kubilus and Robert A. Stern. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Genetics.
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.