Masuko Uehara

18 total papers · 414 total citations
12 papers, 306 citations indexed

About

Masuko Uehara is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Masuko Uehara has authored 12 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Masuko Uehara's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Metabolism, Diabetes, and Cancer (3 papers) and Chronic Disease Management Strategies (3 papers). Masuko Uehara is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Metabolism, Diabetes, and Cancer (3 papers) and Chronic Disease Management Strategies (3 papers). Masuko Uehara collaborates with scholars based in Japan. Masuko Uehara's co-authors include Naruto Horiuchi, Akira Sasaki, Takaichiro Suzuki, Akira Sasaki, Kyoichi Hasegawa, Akira Sasaki and Takao Shimizu and has published in prestigious journals such as Diabetes Research and Clinical Practice and The Tohoku Journal of Experimental Medicine.

In The Last Decade

Masuko Uehara

12 papers receiving 288 citations

Author Peers

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

Author						Papers	Cites
Masuko Uehara	121	102	89	48	33	12	306
Sascha Groß	69 0.6×	33 0.3×	62 0.7×	36 0.8×	23 0.7×	15	304
P. H. Bennett	42 0.3×	155 1.5×	33 0.4×	45 0.9×	60 1.8×	10	278
Kyoichi Hasegawa	119 1.0×	72 0.7×	64 0.7×	22 0.5×	10 0.3×	13	256
Ziqi Tan	48 0.4×	131 1.3×	91 1.0×	142 3.0×	28 0.8×	15	337
Syed Mohsin Manzoor	49 0.4×	192 1.9×	112 1.3×	102 2.1×	19 0.6×	12	322
Deborah J. Barbour	101 0.8×	75 0.7×	44 0.5×	115 2.4×	25 0.8×	13	276
Mohan T Shenoy	45 0.4×	100 1.0×	71 0.8×	83 1.7×	13 0.4×	15	262
Chun‐Yip Yeung	29 0.2×	116 1.1×	67 0.8×	172 3.6×	25 0.8×	11	334
Marcel T. Ferreira	52 0.4×	135 1.3×	46 0.5×	254 5.3×	33 1.0×	10	363
Vineetha K. Ramdas Nayak	37 0.3×	130 1.3×	95 1.1×	72 1.5×	11 0.3×	8	244

Countries citing papers authored by Masuko Uehara

Since Specialization

Citations

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

Fields of papers citing papers by Masuko Uehara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masuko Uehara

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