Teiko Amemiya

26 total papers · 545 total citations
6 papers, 459 citations indexed

About

Teiko Amemiya is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Teiko Amemiya has authored 6 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Teiko Amemiya's work include Obesity, Physical Activity, Diet (2 papers), Diabetes Management and Research (2 papers) and Bone health and osteoporosis research (2 papers). Teiko Amemiya is often cited by papers focused on Obesity, Physical Activity, Diet (2 papers), Diabetes Management and Research (2 papers) and Bone health and osteoporosis research (2 papers). Teiko Amemiya collaborates with scholars based in Sweden and Japan. Teiko Amemiya's co-authors include Niklas Darín, Björn Andersson, Sverker Jern, Per Mårin, Yasue Omori, Yuichiro Hirata, Mihoko Yoshino, Hideya Kawaji, Hiroshi Yoshida and Masaaki Yoshida and has published in prestigious journals such as Diabetes Care, Metabolism and Diabetes Research and Clinical Practice.

In The Last Decade

Teiko Amemiya

6 papers receiving 442 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Teiko Amemiya	246	189	140	71	54	6	459
R Pasquali	173 0.7×	116 0.6×	56 0.4×	62 0.9×	57 1.1×	10	456
Silvia Genghini	229 0.9×	133 0.7×	35 0.3×	138 1.9×	42 0.8×	8	529
Peter Wellhoener	161 0.7×	117 0.6×	71 0.5×	140 2.0×	74 1.4×	10	407
Yasser Mansour	104 0.4×	120 0.6×	31 0.2×	44 0.6×	17 0.3×	7	485
Giulio Spinucci	88 0.4×	135 0.7×	85 0.6×	44 0.6×	51 0.9×	13	434
Stephanie L. Gilmore	135 0.5×	60 0.3×	175 1.3×	17 0.2×	66 1.2×	8	548
Gavin D. Divertie	160 0.7×	116 0.6×	20 0.1×	28 0.4×	50 0.9×	13	421
Mark S. Schneider	124 0.5×	56 0.3×	42 0.3×	20 0.3×	46 0.9×	10	469
Barbara Wolters	177 0.7×	134 0.7×	22 0.2×	37 0.5×	38 0.7×	12	449
Liana Kobylinska	184 0.7×	64 0.3×	29 0.2×	14 0.2×	110 2.0×	8	449

Countries citing papers authored by Teiko Amemiya

Since Specialization

Citations

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

Fields of papers citing papers by Teiko Amemiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teiko Amemiya

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

All Works

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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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