Zarina Assis

895 citations
20 papers · 443 · h-index 12

Impact in

Papers in

Zarina Assis

20 papers receiving 435 citations

Peers

Zarina Assis
Comparison fields: 5 of 47
  • Internal Medicine 39
  • Epidemiology 261
  • Neurology 117
  • Rehabilitation 31
  • Pulmonary and Respiratory Medicine 137
Replace Omar Kass‐Hout with:
Omar Kass‐Hout United States
Byung Hyun Baek South Korea
Jelle Demeestere Belgium
Sonja Külkens Germany
Leonidas D Panos Switzerland
Dikran Mardighian Italy
Lučka Šekoranja Switzerland
Pilar Meler Spain
Estela Sanjuán Spain
Florent Gariel France
Zarina Assis relative to Omar Kass‐Hout United States Omar Kass‐Hout's profile →
Citations per field
00.5×1.5×2.3×
Omar Kass‐Hout · 1×
Citations per year

Countries citing papers authored by Zarina Assis

Since Specialization
Citations

This map shows the geographic impact of Zarina Assis'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 Zarina Assis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zarina Assis more than expected).

Fields of papers citing papers by Zarina Assis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zarina Assis. 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 Zarina Assis. The network helps show where Zarina Assis may publish in the future.

Co-authors

The 25 scholars most cited alongside Zarina Assis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zarina Assis Line = papers co-authored together Zarina Assis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201875
2 201766
3 201658
4 201941
5 201735
6 201532
7 201622
8 202018
9 201717
10 202017
11 201615
12 201611
13 20158
14 20176
15 20186
16 20205
17 20135
18 20194
19 20251
20 20171

About Zarina Assis

Zarina Assis is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Rehabilitation and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 443 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (11 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Stroke Rehabilitation and Recovery (3 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Internal Medicine (39 citations), Epidemiology (261 citations), Neurology (117 citations), Rehabilitation (31 citations) and Pulmonary and Respiratory Medicine (137 citations). Zarina Assis has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Mayank Goyal, Bijoy K. Menon, Andrew M. Demchuk, Michael D. Hill, Charlotte Zerna, Mohamed Najm, Mohammed Almekhlafi, Nima Kashani, John H. Wong and Stefan Lang. Their work appears in journals such as American Journal of Neuroradiology, Journal of NeuroInterventional Surgery, Neurology, JAMA Neurology and Stroke.

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.

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