Ken Uchino

9.3k total citations · 1 hit paper
212 papers, 5.5k citations indexed

About

Ken Uchino is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ken Uchino has authored 212 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Epidemiology, 80 papers in Neurology and 71 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ken Uchino's work include Acute Ischemic Stroke Management (124 papers), Cerebrovascular and Carotid Artery Diseases (58 papers) and Stroke Rehabilitation and Recovery (49 papers). Ken Uchino is often cited by papers focused on Acute Ischemic Stroke Management (124 papers), Cerebrovascular and Carotid Artery Diseases (58 papers) and Stroke Rehabilitation and Recovery (49 papers). Ken Uchino collaborates with scholars based in United States, Canada and Japan. Ken Uchino's co-authors include Andrei V. Alexandrov, Maher Saqqur, Sung‐Min Cho, Irene Katzan, Muhammad Shazam Hussain, Carlos A. Molina, Andrew M. Demchuk, Maxim D. Hammer, Zsolt Garami and Lawrence R. Wechsler and has published in prestigious journals such as Circulation, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Ken Uchino

198 papers receiving 5.4k citations

Hit Papers

Site of Arterial Occlusion Identified by Transcranial Dop... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ken Uchino United States 38 3.2k 1.9k 1.8k 1.1k 928 212 5.5k
Brett Cucchiara United States 35 2.8k 0.9× 2.8k 1.5× 1.1k 0.6× 666 0.6× 1.3k 1.3× 126 5.8k
Martin Köhrmann Germany 43 3.5k 1.1× 2.7k 1.5× 1.6k 0.9× 845 0.8× 950 1.0× 214 6.4k
Philip M. Meyers United States 44 3.5k 1.1× 5.1k 2.7× 3.7k 2.0× 952 0.9× 631 0.7× 202 8.4k
Peter Mitchell Australia 36 2.7k 0.9× 2.2k 1.1× 1.7k 0.9× 845 0.8× 831 0.9× 215 6.0k
Aristeidis H. Katsanos Greece 41 2.9k 0.9× 1.9k 1.0× 1.4k 0.8× 835 0.8× 955 1.0× 216 5.3k
Alexander A. Khalessi United States 23 2.6k 0.8× 1.4k 0.7× 1.3k 0.7× 893 0.8× 860 0.9× 102 4.4k
Christian H. Nolte Germany 39 3.1k 1.0× 1.5k 0.8× 1.1k 0.6× 886 0.8× 678 0.7× 213 5.0k
Shadi Yaghi United States 40 3.0k 0.9× 2.4k 1.3× 1.7k 0.9× 600 0.6× 1.0k 1.1× 273 6.0k
Richard A. Bernstein United States 37 2.4k 0.8× 1.6k 0.9× 1.3k 0.7× 291 0.3× 682 0.7× 128 5.5k
Aneesh B. Singhal United States 55 4.5k 1.4× 3.6k 1.9× 2.8k 1.5× 1.1k 1.0× 816 0.9× 199 9.7k

Countries citing papers authored by Ken Uchino

Since Specialization
Citations

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

Fields of papers citing papers by Ken Uchino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Uchino

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Uchino. A scholar is included among the top collaborators of Ken Uchino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ken Uchino. Ken Uchino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Man, Shumei, Nicole Solomon, Brian Mac Grory, et al.. (2024). Trends in Stroke Thrombolysis Care Metrics and Outcomes by Race and Ethnicity, 2003-2021. JAMA Network Open. 7(2). e2352927–e2352927. 15 indexed citations
2.
Uchino, Ken, et al.. (2024). In acute ICH, minimally invasive surgery improved functional outcome at 180 d. Annals of Internal Medicine. 177(8). JC92–JC92.
3.
Man, Shumei, David Bruckman, Ken Uchino, Jesse D. Schold, & Jarrod E. Dalton. (2024). Racial, Ethnic, and Regional Disparities of Post-Acute Service Utilization After Stroke in the United States. Neurology Clinical Practice. 14(5). e200329–e200329. 4 indexed citations
4.
Amin, Moein, Ken Uchino, & Rula A. Hajj‐Ali. (2023). Central Nervous System Vasculitis. Rheumatic Disease Clinics of North America. 49(3). 603–616. 4 indexed citations
6.
Amin, Moein, Takashi Shimoyama, Ken Uchino, & Rula A. Hajj‐Ali. (2021). Differentiating primary central nervous system vasculitis from non-inflammatory intracranial vasculopathy (1599). Neurology. 96(15_supplement). 1 indexed citations
7.
Uchino, Ken, Murali Kolikonda, Zeshaun Khawaja, et al.. (2020). Decline in Stroke Presentations During COVID-19 Surge. Stroke. 51(8). 2544–2547. 85 indexed citations
8.
Migdady, Ibrahim, Cory Rice, Ken Uchino, & Sung June Cho. (2019). Neurological outcomes of Extracorporeal Cardiopulmonary Resuscitation (ECPR): A Systematic Review (S2.009). Neurology. 92(15_supplement). 3 indexed citations
9.
Marquardt, Robert, et al.. (2019). Utility of Digital Ophthalmoscope in Neurology Residency (P5.9-057). Neurology. 92(15_supplement).
11.
Katzan, Irene, Nicolas R. Thompson, Ken Uchino, & Brittany Lapin. (2018). The most affected health domains after ischemic stroke. Neurology. 90(16). e1364–e1371. 76 indexed citations
12.
Cho, Sung‐Min, Catherine Hassett, Cory Rice, et al.. (2018). What Causes LVAD-Associated Ischemic Stroke? Surgery, Pump Thrombosis, Antithrombotics, and Infection. ASAIO Journal. 65(8). 775–780. 37 indexed citations
13.
Khoury, Jean, Sung‐Min Cho, Cory Rice, et al.. (2018). Abstract WP331: Intracranial Hemorrhage in Infective Endocarditis: Underlying Arterial and Parenchymal Disease. Stroke. 49(Suppl_1). 1 indexed citations
14.
Katzan, Irene, Nicolas R. Thompson, Brittany Lapin, & Ken Uchino. (2017). Added Value of Patient‐Reported Outcome Measures in Stroke Clinical Practice. Journal of the American Heart Association. 6(7). 72 indexed citations
15.
Briggs, Farren, Ather Taqui, Russell Cerejo, et al.. (2015). Pre-hospital imaging and thrombolysis in acute stroke in an urban US setting: results of the Cleveland Pre-Hospital Acute Stroke Treatment (PHAST) study group. (S21.002). Neurology. 84(14_supplement). 2 indexed citations
16.
Gomes, João, et al.. (2015). Prehospital Reversal of Warfarin-Related Coagulopathy in Intracerebral Hemorrhage in a Mobile Stroke Treatment Unit. Stroke. 46(5). e118–20. 21 indexed citations
17.
Uchino, Ken & Adrían V. Hernández. (2011). Abstract 15500: Dabigatran is Associated with Higher Risk of Myocardial Infarction or Acute Coronary Syndromes: a Meta-analysis of Non-Inferiority Randomized Controlled Trials. Circulation. 124. 1 indexed citations
18.
Saqqur, Maher, Ken Uchino, Andrew M. Demchuk, et al.. (2007). Site of Arterial Occlusion Identified by Transcranial Doppler Predicts the Response to Intravenous Thrombolysis for Stroke. Stroke. 38(3). 948–954. 513 indexed citations breakdown →
19.
Chen, Chin-I, Yasuyuki Iguchi, James C. Grotta, et al.. (2005). Intravenous TPA for Very Old Stroke Patients. European Neurology. 54(3). 140–144. 48 indexed citations
20.
Ishigami, Tomoaki, Takashi Iwamoto, Kohji Tamura, et al.. (1995). Angiotensin I converting enzyme (ACE) gene polymorphism and essential hypertension in JapanEthnic difference of ACE genotype. American Journal of Hypertension. 8(1). 95–97. 59 indexed citations

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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