Nerissa Ko

6.5k citations
61 papers · 2.9k indexed · 1 hit paper · h-index 28

Nerissa Ko

60 papers receiving 2.8k citations

Hit Papers

Standards for Studies of Neurological Prognostication in ...243201920262021202350100150200

Peers

Nerissa Ko
Comparison fields: 5 of 91
  • Neurology 2.1k
  • Emergency Medicine 381
  • Cardiology and Cardiovascular Medicine 627
  • Critical Care and Intensive Care Medicine 119
  • Epidemiology 651
Replace Allyson R. Zazulia with:
Allyson R. Zazulia United States
Joji Inamasu Japan
Andrea Lavinio United Kingdom
Edgar A. Samaniego United States
Mustapha A. Ezzeddine United States
Frederick J. A. Meijer Netherlands
Richard E. Temes United States
Alan Z. Segal United States
David M. Pelz Canada
Fawaz Al‐Mufti United States
Nerissa Ko relative to Allyson R. Zazulia United States Allyson R. Zazulia's profile →
Citations per field
00.5×1.5×2.2×
Allyson R. Zazulia · 1×
Citations per year

Countries citing papers authored by Nerissa Ko

Since Specialization
Citations

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

Fields of papers citing papers by Nerissa Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20220
3 20221
4 20215
5 202016
6 20178
7 201655
8 201613
9 201520
10 201129
11 2011214
12 201130
13 201068
14 200848
15 200867
16 200849
17 200724
18 200715
19 200686
20 20021

About Nerissa Ko

Nerissa Ko is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Rheumatology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (39 papers), Traumatic Brain Injury and Neurovascular Disturbances (29 papers), Vascular Malformations Diagnosis and Treatment (17 papers), Cerebrovascular and Carotid Artery Diseases (12 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers), Acute Ischemic Stroke Management (9 papers), Cerebrospinal fluid and hydrocephalus (8 papers) and Takotsubo Cardiomyopathy and Associated Phenomena (7 papers). The work is most often cited by research in Neurology (2.1k citations), Emergency Medicine (381 citations), Cardiology and Cardiovascular Medicine (627 citations), Critical Care and Intensive Care Medicine (119 citations) and Epidemiology (651 citations). Nerissa Ko has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Wade S. Smith, Jonathan G. Zaroff, Michael T. Lawton, William L. Young, William P. Dillon, Max Wintermark, Michael T. Lawton, Helen Kim, Alexander Kopelnik and M. Quist. Their work appears in journals such as Stroke, Neurocritical Care, Cerebrovascular Diseases, American Journal of Neuroradiology 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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