Fiona Forrestal
- Physiology top 10%
- Pathology and Forensic Medicine top 5%
- Pharmacology top 5%
- Psychiatry and Mental health top 10%
- Oncology
- Co-authors
- Ying TianSamantha Budd HaeberleinStephen SallowayPatrick BurkettKimberly UmansKaren SmirnakisPriya SinghalGuanfang Wang
- Topics
- Tryptophan and brain disorders (5 papers)Multiple Sclerosis Research Studies (5 papers)Alzheimer's disease research and treatments (4 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Fiona Forrestal
17 papers receiving 992 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Physiology 305
- Pathology and Forensic Medicine 304
- Pharmacology 178
- Psychiatry and Mental health 167
- Oncology 155
Countries citing papers authored by Fiona Forrestal
This map shows the geographic impact of Fiona Forrestal'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 Fiona Forrestal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona Forrestal more than expected).
Fields of papers citing papers by Fiona Forrestal
This network shows the impact of papers produced by Fiona Forrestal. 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 Fiona Forrestal. The network helps show where Fiona Forrestal may publish in the future.
Co-authorship network of co-authors of Fiona Forrestal
This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Forrestal. A scholar is included among the top collaborators of Fiona Forrestal 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 Fiona Forrestal. Fiona Forrestal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 50 | |
| 6 | Zuranolone for the Treatment of Postpartum Depressionbreakdown → | 93 |
| 7 | 5 | |
| 8 | 31 | |
| 9 | Amyloid-Related Imaging Abnormalities in 2 Phase 3 Studies Evaluating Aducanumab in Patients With Early Alzheimer Diseasebreakdown → | 411 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 61 | |
| 13 | 104 | |
| 14 | 64 | |
| 15 | 88 | |
| 16 | 72 | |
| 17 | Monthly and annual averages of rainfall for Ireland 1951-1980 | 5 |
About Fiona Forrestal
Fiona Forrestal is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Pharmacology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (5 papers), Multiple Sclerosis Research Studies (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Pathology and Forensic Medicine (304 citations) and Neurology (99 citations). Fiona Forrestal has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Ying Tian, Samantha Budd Haeberlein, Stephen Salloway, Patrick Burkett, Kimberly Umans, Karen Smirnakis, Priya Singhal, Guanfang Wang, Frederik Barkhof and Jerome Barakos. Their work appears in journals such as American Journal of Psychiatry, Neurology and Annals of Neurology.
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.