Amy Danehy
Impact in
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
- Neurology top 10%
- Neurofibromatosis and Schwannoma Cases
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- Acute Ischemic Stroke Management 3
- Congenital Heart Disease Studies 2
-
- Blood Coagulation and Thrombosis Mechanisms 5
- Co-authors
- Michael J. Rivkin (12 shared papers)Laura L. Lehman (6 shared papers)Kush Kapur (4 shared papers)Miya E. Bernson‐Leung (6 shared papers)Cameron C. Trenor (4 shared papers)Mark R. Proctor (1 shared paper)Nicole J. Ullrich (1 shared paper)Mira Irons (1 shared paper)
- Journals
- Neurology (2 papers)The Journal of Pediatrics (2 papers)Pediatric Neurology (2 papers)Stroke (2 papers)Resuscitation (2 papers)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Amy Danehy
20 papers receiving 306 citations
Peers
Comparison fields: 5 of 48
- Hematology 81
- Neurology 78
- Pediatrics, Perinatology and Child Health 76
- Emergency Medicine 30
- Obstetrics and Gynecology 22
Countries citing papers authored by Amy Danehy
This map shows the geographic impact of Amy Danehy'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 Amy Danehy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Danehy more than expected).
Fields of papers citing papers by Amy Danehy
This network shows the impact of papers produced by Amy Danehy. 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 Amy Danehy. The network helps show where Amy Danehy may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Danehy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 42 | |
| 2 | 2013 | 39 | |
| 3 | 2017 | 34 | |
| 4 | 2017 | 30 | |
| 5 | 2014 | 25 | |
| 6 | 2017 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2015 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2016 | 1 |
About Amy Danehy
Amy Danehy is a scholar working on Epidemiology, Hematology, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Psychiatry and Mental health, having authored 21 papers that have together received 311 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Neonatal and fetal brain pathology (3 papers), Acute Ischemic Stroke Management (3 papers), Neurological Complications and Syndromes (2 papers), Migraine and Headache Studies (2 papers), Pregnancy and preeclampsia studies (2 papers), Functional Brain Connectivity Studies (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Hematology (81 citations), Neurology (78 citations), Pediatrics, Perinatology and Child Health (76 citations), Emergency Medicine (30 citations) and Obstetrics and Gynecology (22 citations). Amy Danehy has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Michael J. Rivkin, Laura L. Lehman, Kush Kapur, Miya E. Bernson‐Leung, Cameron C. Trenor, Mark R. Proctor, Nicole J. Ullrich, Mira Irons, Theonia K. Boyd and Emily E. Meserve. Their work appears in journals such as Neurology, The Journal of Pediatrics, Pediatric Neurology, Stroke and Resuscitation.
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.