Masayo Yamada

102 total papers · 2.4k total citations
62 papers, 1.4k citations indexed

About

Masayo Yamada is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Nutrition and Dietetics. According to data from OpenAlex, Masayo Yamada has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Epidemiology and 11 papers in Nutrition and Dietetics. Recurrent topics in Masayo Yamada's work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Estrogen and related hormone effects (8 papers) and Regulation of Appetite and Obesity (8 papers). Masayo Yamada is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (9 papers), Estrogen and related hormone effects (8 papers) and Regulation of Appetite and Obesity (8 papers). Masayo Yamada collaborates with scholars based in Japan, Canada and United States. Masayo Yamada's co-authors include Minoru Irahara, Toshiyuki Yasui, Hirokazu Uemura, Yuka Miyatani, Jack R. Wall, Junko Tomita, Masahiko Maegawa, Naoko Tsuchiya, Mitsutoshi Yuzurihara and Tadashi Kondo and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinica Chimica Acta and Atherosclerosis.

In The Last Decade

Masayo Yamada

59 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Masayo Yamada	389	295	239	219	205	62	1.4k
Füsun Baloş Törüner	615 1.6×	288 1.0×	262 1.1×	96 0.4×	278 1.4×	93	1.6k
Krzysztof Celiński	221 0.6×	265 0.9×	508 2.1×	167 0.8×	181 0.9×	90	1.5k
Masami Shinohara	312 0.8×	419 1.4×	126 0.5×	159 0.7×	309 1.5×	50	1.2k
Alina Kuryłowicz	343 0.9×	402 1.4×	354 1.5×	270 1.2×	486 2.4×	65	1.6k
Steven N. Levine	468 1.2×	405 1.4×	129 0.5×	230 1.1×	400 2.0×	57	1.8k
Riadh Jemaa	489 1.3×	190 0.6×	196 0.8×	75 0.3×	247 1.2×	73	1.3k
Ana Alonso	344 0.9×	310 1.1×	150 0.6×	201 0.9×	227 1.1×	51	1.2k
Adile Ferda Dağlı	142 0.4×	182 0.6×	271 1.1×	149 0.7×	252 1.2×	79	1.2k
Bernhard Böhm	428 1.1×	351 1.2×	305 1.3×	185 0.8×	232 1.1×	68	1.7k
Ohk‐Hyun Ryu	462 1.2×	287 1.0×	346 1.4×	240 1.1×	372 1.8×	50	1.4k

Countries citing papers authored by Masayo Yamada

Since Specialization

Citations

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

Fields of papers citing papers by Masayo Yamada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayo Yamada

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