John T. Kanegaye

4.4k total citations
71 papers, 2.3k citations indexed

About

John T. Kanegaye is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John T. Kanegaye has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Surgery, 18 papers in Epidemiology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John T. Kanegaye's work include Kawasaki Disease and Coronary Complications (29 papers), Coronary Artery Anomalies (13 papers) and Mechanical Circulatory Support Devices (7 papers). John T. Kanegaye is often cited by papers focused on Kawasaki Disease and Coronary Complications (29 papers), Coronary Artery Anomalies (13 papers) and Mechanical Circulatory Support Devices (7 papers). John T. Kanegaye collaborates with scholars based in United States, Singapore and France. John T. Kanegaye's co-authors include Jane C. Burns, Adriana H. Tremoulet, Peyman Soliemanzadeh, John S. Bradley, Chisato Shimizu, Joan Pancheri, Brookie M. Best, Paul Ishimine, Stephanie J. Doniger and J. Christian Fox and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

John T. Kanegaye

70 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John T. Kanegaye United States 27 1.4k 854 407 294 273 71 2.3k
Sandra Biscardi France 16 570 0.4× 370 0.4× 581 1.4× 231 0.8× 89 0.3× 32 1.7k
Eric J. Chow United States 15 906 0.7× 478 0.6× 657 1.6× 142 0.5× 191 0.7× 58 2.2k
Paul J. Scheel United States 29 563 0.4× 506 0.6× 285 0.7× 83 0.3× 290 1.1× 81 2.7k
Wim van der Bij Netherlands 35 2.0k 1.4× 936 1.1× 1.5k 3.7× 165 0.6× 117 0.4× 137 4.4k
Fred Nieman Netherlands 34 1.0k 0.7× 349 0.4× 956 2.3× 290 1.0× 220 0.8× 88 3.3k
David Inwald United Kingdom 25 348 0.3× 387 0.5× 678 1.7× 210 0.7× 119 0.4× 73 1.9k
Aldo Iacono United States 39 2.3k 1.7× 1.2k 1.4× 963 2.4× 88 0.3× 178 0.7× 130 3.9k
Ashutosh Tamhane United States 27 1.5k 1.1× 807 0.9× 650 1.6× 99 0.3× 109 0.4× 84 2.9k
Christian A. Merlo United States 36 1.7k 1.2× 1.9k 2.2× 766 1.9× 134 0.5× 306 1.1× 158 3.9k
Olivier Rutschmann Switzerland 26 331 0.2× 536 0.6× 656 1.6× 159 0.5× 69 0.3× 90 2.6k

Countries citing papers authored by John T. Kanegaye

Since Specialization
Citations

This map shows the geographic impact of John T. Kanegaye'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 John T. Kanegaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Kanegaye more than expected).

Fields of papers citing papers by John T. Kanegaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Kanegaye

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Kanegaye. A scholar is included among the top collaborators of John T. Kanegaye 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 John T. Kanegaye. John T. Kanegaye 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.
Lam, Jonathan Y., John T. Kanegaye, Michael Gardiner, et al.. (2023). A Deep Learning Framework for Image-Based Screening of Kawasaki Disease. PubMed. 3087. 1–4. 2 indexed citations
2.
Lam, Jonathan Y., Andrew Richardson, John T. Kanegaye, et al.. (2022). Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease.. PubMed. 2022. 653–661. 1 indexed citations
4.
Kanegaye, John T., et al.. (2019). Bilateral tibial tubercle avulsion fractures: A pediatric orthopedic injury at high risk for compartment syndrome. The American Journal of Emergency Medicine. 37(8). 1603.e3–1603.e5. 5 indexed citations
5.
Jain, Sonia, Xiaoying Sun, John T. Kanegaye, et al.. (2018). Kawasaki Disease Outcomes and Response to Therapy in a Multiethnic Community: A 10-Year Experience. The Journal of Pediatrics. 203. 408–415.e3. 49 indexed citations
7.
Quiat, Daniel, Tomasz Kula, Chisato Shimizu, et al.. (2017). Unbiased Screening of Kawasaki Disease Sera for Viral Antigen Exposure. Open Forum Infectious Diseases. 4(suppl_1). S684–S685. 1 indexed citations
8.
Connelly, Margery A., Chisato Shimizu, Deborah A. Winegar, et al.. (2016). Differences in GlycA and lipoprotein particle parameters may help distinguish acute kawasaki disease from other febrile illnesses in children. BMC Pediatrics. 16(1). 151–151. 20 indexed citations
9.
Li, Zhen, Zhou Tan, Shiying Hao, et al.. (2016). Urinary Colorimetric Sensor Array and Algorithm to Distinguish Kawasaki Disease from Other Febrile Illnesses. PLoS ONE. 11(2). e0146733–e0146733. 3 indexed citations
10.
Rudinsky, Sherri L, et al.. (2015). Inpatient Treatment after Multi-Dose Racemic Epinephrine for Croup in the Emergency Department. Journal of Emergency Medicine. 49(4). 408–414. 14 indexed citations
11.
Ogata, Shohei, Chisato Shimizu, Alessandra Franco, et al.. (2013). Treatment Response in Kawasaki Disease Is Associated with Sialylation Levels of Endogenous but Not Therapeutic Intravenous Immunoglobulin G. PLoS ONE. 8(12). e81448–e81448. 52 indexed citations
12.
13.
McKee, Michele R., et al.. (2008). Oral Analgesia Before Pediatric Ketamine Sedation is not Associated with an Increased Risk of Emesis and Other Adverse Events. Journal of Emergency Medicine. 35(1). 23–28. 10 indexed citations
14.
Sharieff, Ghazala Q., et al.. (2007). Ketamine-Propofol Combination Sedation for Fracture Reduction in the Pediatric Emergency Department. Pediatric Emergency Care. 23(12). 881–884. 55 indexed citations
15.
Popper, Stephen J., Chisato Shimizu, Hiroko Shike, et al.. (2007). Gene-expression patterns reveal underlying biological processes in Kawasaki disease. Genome biology. 8(12). R261–R261. 82 indexed citations
16.
Shike, Hiroko, et al.. (2005). ADENOVIRUS, ADENO-ASSOCIATED VIRUS AND KAWASAKI DISEASE. The Pediatric Infectious Disease Journal. 24(11). 1011–1014. 33 indexed citations
17.
Kanegaye, John T., et al.. (1999). Pediatric scalp laceration repair complicated by skin staple migration. The American Journal of Emergency Medicine. 17(2). 157–159. 1 indexed citations
18.
Kanegaye, John T., et al.. (1995). Failure of technetium-99m hexamethylpropylene amine oxime leukocyte scintigraphy in the evaluation of children with suspected appendicitis. Pediatric Emergency Care. 11(5). 285–290. 13 indexed citations
19.
Kanegaye, John T., et al.. (1993). Penile zipper entrapment: A simple and less threatening approach using mineral oil. Pediatric Emergency Care. 9(2). 90–91. 14 indexed citations
20.
Kanegaye, John T. & Ilona J. Frieden. (1992). Lichen Striatus: Simultaneous Occurrence in Siblings. PEDIATRICS. 90(1). 104–106. 18 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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