Ivan Da Silva

1.6k citations
47 papers · 669 · h-index 13

Impact in

  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
    • Infectious Encephalopathies and Encephalitis

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 11
    • Traumatic Brain Injury and Neurovascular Disturbances 8
    • Long-Term Effects of COVID-19 4
    • Acute Ischemic Stroke Management 13

Ivan Da Silva

39 papers receiving 651 citations

Peers

Ivan Da Silva
Comparison fields: 5 of 87
  • Neurology 295
  • Infectious Diseases 259
  • Public Health, Environmental and Occupational Health 276
  • Critical Care and Intensive Care Medicine 38
  • Neurology 55
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Da Silva. 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 Ivan Da Silva. The network helps show where Ivan Da Silva may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017144
2 2020114
3 201469
4 201747
5 201731
6 201327
7 201624
8 201822
9 202021
10 202020
11 201716
12 202014
13 201713
14 201612
15 201211
16 20169
17 20139
18 20188
19 20138
20 20206

About Ivan Da Silva

Ivan Da Silva is a scholar working on Neurology, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Emergency Medicine, having authored 47 papers that have together received 669 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (13 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Mosquito-borne diseases and control (8 papers), Cardiac Arrest and Resuscitation (5 papers), Long-Term Effects of COVID-19 (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Retinal and Optic Conditions (4 papers). The work is most often cited by research in Neurology (295 citations), Infectious Diseases (259 citations), Public Health, Environmental and Occupational Health (276 citations), Critical Care and Intensive Care Medicine (38 citations) and Neurology (55 citations). Ivan Da Silva has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Jennifer Frontera, Osvaldo J. M. Nascimento, Ana María Bispo de Filippis, J. Javier Provencio, Sayona John, Gabriel R. de Freitas, Rajeev Garg, Julianne Hall, Rima M. Dafer and Parneet Grewal. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Journal of the Neurological Sciences, Neurology, Current Treatment Options in Neurology and Journal of Intensive Care Medicine.

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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