Julius Gene Latorre
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications 9
- Traumatic Brain Injury and Neurovascular Disturbances 5
- Intracerebral and Subarachnoid Hemorrhage Research 4
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management 4
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- Acute Ischemic Stroke Management 12
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- Cerebrovascular and Carotid Artery Diseases 10
- Anesthesiology and Pain Medicine top 10%
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- Moyamoya disease diagnosis and treatment 3
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- Atrial Fibrillation Management and Outcomes 3
- Co-authors
- Kishore MulpuriElisabeth ZwettlerDivay ChandraBrian D. SnyderEmilio ParisiniEmily R. DodwellRichard D. FesslerDavid M. Greer
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Julius Gene Latorre
35 papers receiving 637 citations
Peers
Comparison fields: 5 of 71
- Neurology 320
- Internal Medicine 72
- Epidemiology 205
- Pulmonary and Respiratory Medicine 175
- Anesthesiology and Pain Medicine 29
Countries citing papers authored by Julius Gene Latorre
This map shows the geographic impact of Julius Gene Latorre'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 Julius Gene Latorre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julius Gene Latorre more than expected).
Fields of papers citing papers by Julius Gene Latorre
This network shows the impact of papers produced by Julius Gene Latorre. 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 Julius Gene Latorre. The network helps show where Julius Gene Latorre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julius Gene Latorre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 51 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 64 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 9 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 0 | |
| 11 | 2015 | 12 | |
| 12 | 2015 | 4 | |
| 13 | 2012 | 6 | |
| 14 | 2010 | 14 | |
| 15 | 2010 | 149 | |
| 16 | 2010 | 20 | |
| 17 | 2009 | 6 | |
| 18 | 2009 | 20 | |
| 19 | 2006 | 27 | |
| 20 | Thrombopénie sévère précoce induite par l'héparine non fractionnée: tentative thérapeutique par une héparine de bas poids moléculaire. | 1985 | 1 |
About Julius Gene Latorre
Julius Gene Latorre is a scholar working on Internal Medicine, Neurology and Epidemiology, having authored 38 papers that have together received 655 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (12 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Moyamoya disease diagnosis and treatment (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Neurology (320 citations), Internal Medicine (72 citations) and Epidemiology (205 citations). Julius Gene Latorre has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Kishore Mulpuri, Elisabeth Zwettler, Divay Chandra, Brian D. Snyder, Emilio Parisini, Emily R. Dodwell, Richard D. Fessler, David M. Greer, Aneesh B. Singhal and Amar Swarnkar. Their work appears in journals such as Neurology, Neurocritical Care, The Neurologist, International Journal of Stroke and Child s Nervous System.
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.