Yoshio Imada

471 total citations
10 papers, 357 citations indexed

About

Yoshio Imada is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yoshio Imada has authored 10 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yoshio Imada's work include Kawasaki Disease and Coronary Complications (8 papers), Coronary Artery Anomalies (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Yoshio Imada is often cited by papers focused on Kawasaki Disease and Coronary Complications (8 papers), Coronary Artery Anomalies (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). Yoshio Imada collaborates with scholars based in Japan. Yoshio Imada's co-authors include Hiroshi Yanagawa, Yosikazu Nakamura, Yasuyuki Fujita, Keiji Tsuchiya, Tomoyoshi Sonobe, Nobuyuki Kiyosawa, Yoshikazu Nakamura, Yoko Imai, Mayumi Yashiro and Miyuki Kawase and has published in prestigious journals such as PEDIATRICS, The Journal of Infectious Diseases and Pediatric Research.

In The Last Decade

Yoshio Imada

10 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoshio Imada Japan	5	314	234	91	52	52	10	357
Delaram Molkara United States	6	332 1.1×	225 1.0×	77 0.8×	42 0.8×	85 1.6×	7	374
Jeffrey R. Frazer United States	7	416 1.3×	288 1.2×	105 1.2×	43 0.8×	93 1.8×	7	464
Stanford T. Shulman United States	5	253 0.8×	185 0.8×	55 0.6×	30 0.6×	30 0.6×	8	303
Nadine Choueiter United States	9	305 1.0×	206 0.9×	125 1.4×	38 0.7×	94 1.8×	26	387
Judith Sánchez-Manubens Spain	9	221 0.7×	158 0.7×	43 0.5×	33 0.6×	28 0.5×	26	281
Luisa Berenise Gámez‐González Mexico	8	183 0.6×	119 0.5×	30 0.3×	48 0.9×	52 1.0×	20	269
Kiminori Masuda Japan	12	300 1.0×	217 0.9×	67 0.7×	28 0.5×	41 0.8×	28	379
Yong Won Park South Korea	7	287 0.9×	231 1.0×	89 1.0×	13 0.3×	27 0.5×	13	302
Madhusudan Ganigara United States	8	215 0.7×	143 0.6×	90 1.0×	85 1.6×	49 0.9×	29	366
Denise A. Hayes United States	8	233 0.7×	174 0.7×	96 1.1×	69 1.3×	62 1.2×	15	374

Countries citing papers authored by Yoshio Imada

Since Specialization

Citations

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

Fields of papers citing papers by Yoshio Imada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshio Imada

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshio Imada. A scholar is included among the top collaborators of Yoshio Imada 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 Yoshio Imada. Yoshio Imada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Shirato, Kazuya, Yoshio Imada, Miyuki Kawase, et al.. (2014). Possible involvement of infection with human coronavirus 229E, but not NL63, in Kawasaki disease. Journal of Medical Virology. 86(12). 2146–2153. 67 indexed citations

Tanaka, Kiyoshi, et al.. (2009). Factors associated with acute otitis media in children due to penicillin intermediately resistant Streptococcus pneumoniae. International Journal of Pediatric Otorhinolaryngology. 73(10). 1344–1347. 2 indexed citations

Tsuchiya, Keiji, et al.. (2008). [Diagnosis of incomplete Kawasaki disease].. PubMed. 66(2). 321–5. 2 indexed citations

Sonobe, Tomoyoshi, Nobuyuki Kiyosawa, Keiji Tsuchiya, et al.. (2007). Prevalence of coronary artery abnormality in incomplete Kawasaki disease. Pediatrics International. 49(4). 421–426. 104 indexed citations

Sonobe, Tomoyoshi, et al.. (2003). The Incidence of Coronary Artery Abnormality in Incomplete Kawasaki Disease. Pediatric Research. 53(1). 164–164. 4 indexed citations

Morita, Atsushi, Yoshio Imada, Hisanaga Igarashi, & Takashi Yutsudo. (1997). Serologic Evidence That Streptococcal Superantigens Are Not Involved in the Pathogenesis of Kawasaki Disease. Microbiology and Immunology. 41(11). 895–900. 32 indexed citations

Nakamura, Yosikazu, Yasuyuki Fujita, Masaki Nagai, et al.. (1991). Cardiac Sequelae of Kawasaki Disease in Japan: Statistical Analysis. PEDIATRICS. 88(6). 1144–1147. 50 indexed citations

Imada, Yoshio, Tomisaku Kawasaki, & Yosikazu Nakamura. (1990). Cousin Cases of Kawasaki Disease Suggesting Person-to-Person Transmission. PEDIATRICS. 85(6). 1127–1127. 4 indexed citations

Yanagawa, Hiroshi, Yosikazu Nakamura, M. Yashiro, et al.. (1988). A Nationwide Incidence Survey of Kawasaki Disease in 1985-1986 in Japan. The Journal of Infectious Diseases. 158(6). 1296–1301. 91 indexed citations

10.

Takayama, Jun, et al.. (1980). Studies on Serum Immunoglobulins and Delayed Skin Tests in Patients with MCLS. Pediatrics International. 24(3). 408–409. 1 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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