Mika Enomoto

117 total papers · 1.8k total citations
56 papers, 1.4k citations indexed

About

Mika Enomoto is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mika Enomoto has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 15 papers in Epidemiology and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mika Enomoto's work include Cardiovascular Health and Disease Prevention (10 papers), Nutritional Studies and Diet (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Mika Enomoto is often cited by papers focused on Cardiovascular Health and Disease Prevention (10 papers), Nutritional Studies and Diet (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Mika Enomoto collaborates with scholars based in Japan and United States. Mika Enomoto's co-authors include Hisashi Adachi, Tsutomu Imaizumi, Asuka Hino, Kumiko Furuki, Yuji Hirai, Ako Fukami, Akira Satoh, Sho‐ichi Yamagishi, Shunichi Kumagae and Kazuo Nakamura and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mika Enomoto

54 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Mika Enomoto	381	367	359	271	230	56	1.4k
Hisayo Yokoyama	509 1.3×	472 1.3×	426 1.2×	384 1.4×	250 1.1×	49	1.7k
Alfons J.H.M. Houben	643 1.7×	473 1.3×	534 1.5×	242 0.9×	162 0.7×	82	1.8k
Jey Sook Chae	278 0.7×	360 1.0×	351 1.0×	438 1.6×	112 0.5×	46	1.4k
Ingrid Toft	418 1.1×	324 0.9×	267 0.7×	202 0.7×	85 0.4×	44	1.8k
Roberto Trevisan	283 0.7×	361 1.0×	464 1.3×	132 0.5×	170 0.7×	50	1.4k
Domenico Galzerano	585 1.5×	274 0.7×	247 0.7×	197 0.7×	96 0.4×	71	1.2k
Antonio Quatraro	229 0.6×	725 2.0×	317 0.9×	142 0.5×	231 1.0×	55	1.5k
Eva Solá	215 0.6×	397 1.1×	486 1.4×	306 1.1×	97 0.4×	54	1.8k
Gerald J. Brook	306 0.8×	363 1.0×	231 0.6×	430 1.6×	80 0.3×	48	1.4k
Eke G. Gruppen	246 0.6×	539 1.5×	374 1.0×	452 1.7×	116 0.5×	53	1.5k

Countries citing papers authored by Mika Enomoto

Since Specialization

Citations

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

Fields of papers citing papers by Mika Enomoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Enomoto

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Enomoto. A scholar is included among the top collaborators of Mika Enomoto 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 Mika Enomoto. Mika Enomoto 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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