Akanuma Yasuo

32 total papers · 775 total citations
21 papers, 608 citations indexed

About

Akanuma Yasuo is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Akanuma Yasuo has authored 21 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Surgery. Recurrent topics in Akanuma Yasuo's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Akanuma Yasuo is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Akanuma Yasuo collaborates with scholars based in Japan, United States and Canada. Akanuma Yasuo's co-authors include Takashi Kadowaki, Yasushi Kaburagi, Kazuyuki Tobe, Yoshio Yazaki, Toshimasa Yamauchi, Hiroyuki Tamemoto, Kohjiro Ueki, Toshio Murase, Ritsuko Yamamoto‐Honda and Shinichi Aizawa and has published in prestigious journals such as Molecular and Cellular Biology, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Akanuma Yasuo

20 papers receiving 574 citations

Author Peers

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

Author						Papers	Cites
Akanuma Yasuo	364	214	213	102	75	21	608
Taishan Zheng	343 0.9×	213 1.0×	206 1.0×	83 0.8×	62 0.8×	32	661
Neelam Srivastava	306 0.8×	186 0.9×	170 0.8×	62 0.6×	56 0.7×	21	642
Shuichi Nagashima	249 0.7×	204 1.0×	136 0.6×	87 0.9×	94 1.3×	37	553
Brian E. Cox	375 1.0×	189 0.9×	124 0.6×	81 0.8×	96 1.3×	15	697
V. A. Kosykh	331 0.9×	224 1.0×	152 0.7×	96 0.9×	104 1.4×	29	585
R. Ramakrishnan	270 0.7×	245 1.1×	167 0.8×	109 1.1×	40 0.5×	24	676
Kayo Taketa	203 0.6×	214 1.0×	140 0.7×	64 0.6×	101 1.3×	14	535
Eleni E. Zanni	221 0.6×	181 0.8×	158 0.7×	148 1.5×	38 0.5×	15	518
Gabriela Suchánková	283 0.8×	213 1.0×	138 0.6×	189 1.9×	145 1.9×	13	645
Mako Yasuda‒Yamahara	244 0.7×	151 0.7×	224 1.1×	172 1.7×	76 1.0×	24	682

Countries citing papers authored by Akanuma Yasuo

Since Specialization

Citations

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

Fields of papers citing papers by Akanuma Yasuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akanuma Yasuo

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