Robin Šín

950 citations
14 papers · 57 · h-index 5

Impact in

Papers in

    • COVID-19 Clinical Research Studies 4
    • Infectious Encephalopathies and Encephalitis 3
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 2
    • Hematological disorders and diagnostics 2
    • Poisoning and overdose treatments 1

Robin Šín

11 papers receiving 56 citations

Peers

Robin Šín
Comparison fields: 5 of 41
  • Infectious Diseases 36
  • Obstetrics and Gynecology 7
  • Neuropsychology and Physiological Psychology 1
  • Modeling and Simulation 3
  • Health 5
Replace Parikshit Sen with:
Parikshit Sen India
Madison Ellis United States
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Susan Olaf Lindvig Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Robin Šín

Since Specialization
Citations

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

Fields of papers citing papers by Robin Šín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Robin Šín, 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 Robin Šín Line = papers co-authored together Robin Šín links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202120
2
A novel coronavirus (SARS-CoV-2) and COVID-19.
202012
3 20217
4
Combined Therapy for Patients after Ischemic Stroke as a Support of Social Adaptability.
20196
5
Clinical and laboratory characteristics of the COVID-19 disease in adult patients.
20205
6 20212
7 20221
8 20241
9
Loss of Consciousness and Prolonged Convulsions Due to Amanita Pantherina Intoxication.
20231
10
Cerebellar syndrome as a complication of COVID-19 disease.
20211
11
[Symptoms and complications of influenza A in seniors in the 2018-2019 season].
20201
12 20200
13 20200
14 20250

About Robin Šín

Robin Šín is a scholar working on Infectious Diseases, Emergency Medicine, Neurology, Surgery and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 57 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Infectious Encephalopathies and Encephalitis (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Hematological disorders and diagnostics (2 papers), SARS-CoV-2 detection and testing (2 papers), Psychedelics and Drug Studies (1 paper) and Poisoning and overdose treatments (1 paper). The work is most often cited by research in Infectious Diseases (36 citations), Obstetrics and Gynecology (7 citations), Neuropsychology and Physiological Psychology (1 citation), Modeling and Simulation (3 citations) and Health (5 citations). Robin Šín has collaborated with scholars based in Czechia and Slovakia. Frequent co-authors include Dalibor Sedláček, Radek Kučera, Tomáš Fürst, Ondřej Topolčan, Ladislav Pecen, David Slouka, Hana Zelená, Petr Pazdiora, Tomáš Nečas and František Stejskal. Their work appears in journals such as Central European Journal of Public Health, Diagnostics, Biomedical Papers, Bratislavské lekárske listy/Bratislava medical journal and World Journal of Clinical Cases.

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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