Koto Ishida

3.2k citations
83 papers · 2.1k · 1 hit paper · h-index 20

Impact in

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 10
    • Long-Term Effects of COVID-19 5
    • Acute Ischemic Stroke Management 22

Koto Ishida

76 papers receiving 2.1k citations

Koto Ishida's Hit Papers

SARS-CoV-2 and Stroke in a New York Healthcare System 2020 · 530 citations
5300+2+4Years since publication100200300400500

Peers

Koto Ishida
Comparison fields: 5 of 80
  • Neurology 921
  • Internal Medicine 129
  • Infectious Diseases 418
  • Epidemiology 544
  • Critical Care and Intensive Care Medicine 74
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Koto Ishida relative to Jose Torres United States Jose Torres's profile →
Citations per field
00.5×1.5×
Jose Torres · 1×
Citations per year

Countries citing papers authored by Koto Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Koto Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 and Stroke in a New York Healthcare System
Hit paper breakdown →
2020530
2 2020218
3 2021147
4 2020140
5 2018135
6 2013105
7 201961
8 202052
9 202051
10 202048
11 202038
12 200936
13 202034
14 202031
15 202031
16 201629
17 202626
18 202323
19 201722
20 202121

About Koto Ishida

Koto Ishida is a scholar working on Neurology, Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (22 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Intracerebral and Subarachnoid Hemorrhage Research (10 papers), Long-Term Effects of COVID-19 (5 papers), Stroke Rehabilitation and Recovery (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), COVID-19 Clinical Research Studies (3 papers) and Renal and Vascular Pathologies (3 papers). The work is most often cited by research in Neurology (921 citations), Internal Medicine (129 citations), Infectious Diseases (418 citations), Epidemiology (544 citations) and Critical Care and Intensive Care Medicine (74 citations). Koto Ishida has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jose Torres, Shadi R. Yaghi, Aaron Sylvan Lord, Eytan Raz, Jennifer Ann Frontera, Brian Mac Grory, Kaitlyn Lillemoe, Seena Dehkharghani, Erica Scher and Omar Tanweer. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Stroke, Neurology, World Neurosurgery and Clinical Neurology and Neurosurgery.

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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