Sayona John

3.5k citations
53 papers · 2.5k · 2 hit papers · h-index 23

Impact in

Papers in

Sayona John

52 papers receiving 2.4k citations

Sayona John's Hit Papers

Global Incidence of Neurological Manifestations Among Patients Hospitalized With COVID-19—A Report for the GCS-NeuroCOVID Consortium and the ENERGY Consortium 2021 · 277 citations
2770+3+6Years since publication100200300

Peers

Sayona John
Comparison fields: 5 of 102
  • Neurology 1.2k
  • Critical Care and Intensive Care Medicine 154
  • Internal Medicine 59
  • Oncology 379
  • Epidemiology 438
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Sayona John relative to Aaron Sylvan Lord United States Aaron Sylvan Lord's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sayona John

Since Specialization
Citations

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

Fields of papers citing papers by Sayona John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Thrombolytic removal of intraventricular haemorrhage in treatment of severe stroke: results of the randomised, multicentre, multiregion, placebo-controlled CLEAR III trial
Hit paper breakdown →
2017342
2
Global Incidence of Neurological Manifestations Among Patients Hospitalized With COVID-19—A Report for the GCS-NeuroCOVID Consortium and the ENERGY Consortium
Hit paper breakdown →
2021277
3 2021214
4 2020167
5 2011145
6 2015139
7 2020127
8 202099
9 200997
10 201389
11 202083
12 202075
13 201473
14 201870
15 202054
16 201047
17 201745
18 201942
19 202139
20 202028

About Sayona John

Sayona John is a scholar working on Neurology, Critical Care and Intensive Care Medicine, Emergency Medicine, Epidemiology and Psychiatry and Mental health, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (15 papers), Long-Term Effects of COVID-19 (6 papers), Acute Ischemic Stroke Management (5 papers), Intensive Care Unit Cognitive Disorders (4 papers), COVID-19 and healthcare impacts (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Neurological Complications and Syndromes (2 papers). The work is most often cited by research in Neurology (1.2k citations), Critical Care and Intensive Care Medicine (154 citations), Internal Medicine (59 citations), Oncology (379 citations) and Epidemiology (438 citations). Sayona John has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Thomas Pritchett Bleck, Vivien H Lee, Shyam Prabhakaran, Richard E. Temes, Rajeev Kumar Garg, Yousef M. Mohammad, Bichun Ouyang, JAMES J. CONNERS, Ivan Rocha Ferreira da Silva and Edward Ward. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Neurocritical Care, Critical Care Medicine, Stroke and Journal of the Neurological Sciences.

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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