Eiko Takahashi

2.0k total citations
83 papers, 1.3k citations indexed

About

Eiko Takahashi is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Eiko Takahashi has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 24 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Genetics. Recurrent topics in Eiko Takahashi's work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Viral gastroenteritis research and epidemiology (11 papers) and Herpesvirus Infections and Treatments (10 papers). Eiko Takahashi is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Viral gastroenteritis research and epidemiology (11 papers) and Herpesvirus Infections and Treatments (10 papers). Eiko Takahashi collaborates with scholars based in Japan, United States and United Kingdom. Eiko Takahashi's co-authors include Kengo Moriyama, Chizumi Yamada, Minoru Yamakado, Katsumi Yoshida, M Miyakawa, Hiroki Sugimori, Takashi Izuno, Ito H, Yukinobu Tohya and Yuji Inaba and has published in prestigious journals such as Circulation, Journal of Applied Physiology and The Journal of Urology.

In The Last Decade

Eiko Takahashi

80 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eiko Takahashi Japan	21	384	237	231	199	179	83	1.3k
Ristan M. Greer Australia	30	394 1.0×	259 1.1×	230 1.0×	121 0.6×	127 0.7×	108	2.3k
Pierre Pasquier France	19	173 0.5×	129 0.5×	95 0.4×	102 0.5×	224 1.3×	131	1.4k
Jung Ok Shim South Korea	16	172 0.4×	210 0.9×	169 0.7×	117 0.6×	177 1.0×	48	1.1k
Susan Morris United Kingdom	21	385 1.0×	221 0.9×	104 0.5×	68 0.3×	258 1.4×	69	1.8k
C Fabris Italy	24	476 1.2×	221 0.9×	128 0.6×	109 0.5×	83 0.5×	70	2.2k
Yunfeng Wang China	20	240 0.6×	85 0.4×	109 0.5×	123 0.6×	170 0.9×	74	1.6k
Fernando Martínez Spain	22	551 1.4×	155 0.7×	269 1.2×	171 0.9×	85 0.5×	72	2.2k
B. S. Lindblad Sweden	26	370 1.0×	127 0.5×	110 0.5×	97 0.5×	216 1.2×	54	1.6k
Gershon Alpert Israel	23	409 1.1×	80 0.3×	169 0.7×	124 0.6×	204 1.1×	52	1.3k
Diane M. Simpson United States	15	538 1.4×	103 0.4×	77 0.3×	314 1.6×	214 1.2×	24	1.5k

Countries citing papers authored by Eiko Takahashi

Since Specialization

Citations

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

Fields of papers citing papers by Eiko Takahashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiko Takahashi

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

All Works

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20 of 20 papers shown

Moriyama, Kengo, et al.. (2014). HDL2-cholesterol/HDL3-cholesterol ratio was associated with insulin resistance, high-molecular-weight adiponectin, and components for metabolic syndrome in Japanese. Diabetes Research and Clinical Practice. 106(2). 360–365. 24 indexed citations

Takahashi, Eiko, Kengo Moriyama, & Chizumi Yamada. (2012). Gender Difference in High-density Lipoprotein Cholesterol in Japanese. 27(1). 108–113. 1 indexed citations

Moriyama, Kengo, et al.. (2012). Relationship between Thyroid Dysfunction and Serum Low-density Lipoprotein Cholesterol Levels in Subjects Undergoing Annual Health Examination in Japan. 27(3). 547–553. 1 indexed citations

Takahashi, Eiko, et al.. (2012). Prediction of homeostasis model assessment of insulin resistance in Japanese subjects.. PubMed. 37(4). 102–6. 7 indexed citations

Takahashi, Eiko, et al.. (2012). Risk assessment chart for predicting fatty liver in Japanese subjects.. PubMed. 37(4). 94–101. 3 indexed citations

Yamada, Chizumi, et al.. (2011). Impact of Insufficient Insulin Secretion on Subclinical Glucose Dysregulation. 25(6). 37–44. 1 indexed citations

Yamada, Chizumi, et al.. (2011). Determination of Optimal Cut-off Points for Obesity-related Measures of Metabolic Syndrome Based on Insulin Resistance. 25(6). 53–59. 1 indexed citations

Yamada, Chizumi, et al.. (2011). Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population. Journal of Diabetes Investigation. 2(5). 373–376. 81 indexed citations

Ishizaka, Nobukazu, Yuko Ishizaka, Eiko Takahashi, et al.. (2005). The Gender Difference in the Prevalence of Carotid Atherosclerosis-Results from General Health Screening. 19(6). 25–28.

10.

Takahashi, Eiko, et al.. (2004). . SANGYO EISEIGAKU ZASSHI. 46(5). 168–170.

11.

Ishizaka, Nobukazu, Yuko Ishizaka, Eiko Takahashi, et al.. (2002). Serum calcium concentration and carotid artery plaque: a population-based study.. PubMed. 39(3). 151–7. 10 indexed citations

12.

Sato, Eiji, Takayuki Miyazawa, Yoshiaki Nishimura, et al.. (2001). Further development of a recombinant feline herpesvirus type 1 expressing the Gag protein of feline immunodeficiency virus. Archives of Virology. 146(2). 379–387. 2 indexed citations

13.

Tanaka, Shinji, Eiko Takahashi, Tohru Matsui, & Hiroyuki Yano. (2001). Zinc Promotes Adipocyte Differentiation in vitro. Asian-Australasian Journal of Animal Sciences. 14(7). 966–969. 8 indexed citations

14.

Honda, Takashi, Akira Taneno, Eiichi Sakai, Shinji Yamada, & Eiko Takahashi. (1994). Immune Response and In Vivo Distribution of the Virus in Chickens Inoculated with the Cell-Associated Vaccine of Attenuated Infectious Laryngotracheitis (ILT) Virus.. Journal of Veterinary Medical Science. 56(4). 691–695. 8 indexed citations

15.

Tohya, Yukinobu, et al.. (1991). Neutralizing epitopes of feline calicivirus. Archives of Virology. 117(3-4). 173–181. 47 indexed citations

16.

Takahashi, Eiko, et al.. (1977). Complement fixation test of Nebraska calf diarrhea virus with calf serum.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 17(2). 33–8. 1 indexed citations

17.

Kurogi, Hiroaki, et al.. (1976). Separation and properties of enterovirus and reovirus recovered from a fecal sample of calf with diarrhea.. PubMed. 16(2). 49–58. 4 indexed citations

18.

Kimura, Takeshi, et al.. (1974). Effect of Pyratrione (a Tyrosine Hydroxylase Inhibitor) in Essential Hypertension. Clinical Science. 48(s2). 175s–176s. 2 indexed citations

19.

Takahashi, Eiko, et al.. (1957). The geographic distribution of cerebral hemorrhage and hypertension in Japan.. PubMed. 29(2). 139–66. 85 indexed citations

20.

Takahashi, Eiko. (1954). The sex ratio of neonatal deaths in Japan.. PubMed. 26(2). 133–42. 4 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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