Javier Codas

1.4k citations
8 papers · 1.1k · 2 hit papers · h-index 8

Impact in

Papers in

    • Acute Ischemic Stroke Management 7
    • Intracerebral and Subarachnoid Hemorrhage Research 1

Javier Codas

8 papers receiving 1.1k citations

Javier Codas's Hit Papers

Penumbral imaging and functional outcome in patients with anterior circulation ischaemic stroke treated with endovascular thrombectomy versus medical therapy: a meta-analysis of individual patient-level data 2018 · 318 citations
3180+2+5Years since publication100200300

Peers

Javier Codas
Comparison fields: 5 of 36
  • Epidemiology 1.1k
  • Anesthesiology and Pain Medicine 21
  • Neurology 31
  • Health Informatics 5
  • Neurology 15
Replace Véronique Dubuc with:
Véronique Dubuc Canada
Rob Lenthall United Kingdom
P García Bermejo Spain
Evgenia Klourfeld Canada
Kumiko Owada United States
Aldéric Lecluse France
Maurice Moriarty New Zealand
Alejandro Manosalva Canada
Gabriela Carelli France
B Lara Spain
Javier Codas relative to Véronique Dubuc Canada Véronique Dubuc's profile →
Citations per field
00.5×1.5×1.9×
Véronique Dubuc · 1×
Citations per year

Countries citing papers authored by Javier Codas

Since Specialization
Citations

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

Fields of papers citing papers by Javier Codas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Codas, 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 Javier Codas Line = papers co-authored together Javier Codas links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Imaging features and safety and efficacy of endovascular stroke treatment: a meta-analysis of individual patient-level data
Hit paper breakdown →
2018323
2
Penumbral imaging and functional outcome in patients with anterior circulation ischaemic stroke treated with endovascular thrombectomy versus medical therapy: a meta-analysis of individual patient-level data
Hit paper breakdown →
2018318
3 2017204
4 2016121
5 201784
6 201626
7 202325
8 201517

About Javier Codas

Javier Codas is a scholar working on Epidemiology, Neurology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Epidemiology (1.1k citations), Anesthesiology and Pain Medicine (21 citations), Neurology (31 citations), Health Informatics (5 citations) and Neurology (15 citations). Javier Codas has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Laura Llull, Neus Cerdá, Marta Jiménez, Luís Prats‐Sánchez, Manuel Jesús Gómez-Choco, Dolores Cocho, Tudor G. Jovin, Sandra Boned, Alejandro Martínez Domeño and Jaume Roquer. Their work appears in journals such as The Lancet Neurology, Stroke and JAMA 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.

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