Hugo J. Aparicio
- Epidemiology top 5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Psychiatry and Mental health top 5%
- Neurology top 5%
- Co-authors
- Sudha SeshadriAlexa BeiserJayandra J. HimaliClaudia L. SatizábalMatthew P. PaseJosé R. RomeroRamachandran S. VasanCharles DeCarli
- Topics
- Acute Ischemic Stroke Management (21 papers)Dementia and Cognitive Impairment Research (16 papers)Intracerebral and Subarachnoid Hemorrhage Research (11 papers)
- Journals
- JAMACirculationNeurology
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Hugo J. Aparicio
68 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Epidemiology 526
- Physiology 380
- Cardiology and Cardiovascular Medicine 364
- Psychiatry and Mental health 339
- Neurology 303
Countries citing papers authored by Hugo J. Aparicio
This map shows the geographic impact of Hugo J. Aparicio'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 Hugo J. Aparicio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo J. Aparicio more than expected).
Fields of papers citing papers by Hugo J. Aparicio
This network shows the impact of papers produced by Hugo J. Aparicio. 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 Hugo J. Aparicio. The network helps show where Hugo J. Aparicio may publish in the future.
Co-authorship network of co-authors of Hugo J. Aparicio
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo J. Aparicio. A scholar is included among the top collaborators of Hugo J. Aparicio 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 Hugo J. Aparicio. Hugo J. Aparicio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | Forecasting the Burden of Cardiovascular Disease and Stroke in the United States Through 2050—Prevalence of Risk Factors and Disease: A Presidential Advisory From the American Heart Associationbreakdown → | 117 |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | Cognitive Impairment After Ischemic and Hemorrhagic Stroke: A Scientific Statement From the American Heart Association/American Stroke Associationbreakdown → | 182 |
| 14 | 3 | |
| 15 | 25 | |
| 16 | 33 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 121 |
About Hugo J. Aparicio
Hugo J. Aparicio is a scholar working on Neurology, Neurology and Psychiatry and Mental health, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (21 papers), Dementia and Cognitive Impairment Research (16 papers) and Intracerebral and Subarachnoid Hemorrhage Research (11 papers). The work is most often cited by research in Neurology (219 citations), Psychiatry and Mental health (339 citations) and Internal Medicine (76 citations). Hugo J. Aparicio has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Sudha Seshadri, Alexa Beiser, Jayandra J. Himali, Claudia L. Satizábal, Matthew P. Pase, José R. Romero, Ramachandran S. Vasan, Charles DeCarli, Carlos S. Kase and Paul F. Jacques. Their work appears in journals such as JAMA, Circulation and 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.