Tatsuya Maruyama

99 total papers · 1.8k total citations
55 papers, 840 citations indexed

About

Tatsuya Maruyama is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Materials Chemistry. According to data from OpenAlex, Tatsuya Maruyama has authored 55 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Materials Chemistry. Recurrent topics in Tatsuya Maruyama's work include Receptor Mechanisms and Signaling (9 papers), Adipose Tissue and Metabolism (6 papers) and Hormonal Regulation and Hypertension (5 papers). Tatsuya Maruyama is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Adipose Tissue and Metabolism (6 papers) and Hormonal Regulation and Hypertension (5 papers). Tatsuya Maruyama collaborates with scholars based in Japan, United States and Brazil. Tatsuya Maruyama's co-authors include Tetsuo Matsui, Toshiyuki Takasu, Itsuro Nagase, Osamu Yamaguchi, Masashi Ukai, Masao Sasamata, Keiji Miyata, Shuichi Sato, Hisashi Uchida and Choji Kashima and has published in prestigious journals such as Hypertension, Journal of Pharmacology and Experimental Therapeutics and Tetrahedron.

In The Last Decade

Tatsuya Maruyama

50 papers receiving 820 citations

Author Peers

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

Author						Papers	Cites
Tatsuya Maruyama	261	196	151	135	109	55	840
G. F. REYNOLDS	337 1.3×	154 0.8×	332 2.2×	24 0.2×	87 0.8×	29	1.0k
Yan Li	423 1.6×	31 0.2×	43 0.3×	84 0.6×	120 1.1×	49	1.0k
Alexandra Oudot	269 1.0×	36 0.2×	123 0.8×	44 0.3×	70 0.6×	45	949
Rui Li	233 0.9×	95 0.5×	213 1.4×	78 0.6×	17 0.2×	62	986
Yohtalou Tashima	663 2.5×	55 0.3×	187 1.2×	44 0.3×	10 0.1×	56	1.0k
Hye‐Rim Shin	294 1.1×	41 0.2×	17 0.1×	102 0.8×	83 0.8×	53	836
Peipei Cao	456 1.7×	29 0.1×	41 0.3×	43 0.3×	30 0.3×	51	952
Nishtman Dizeyi	493 1.9×	45 0.2×	112 0.7×	86 0.6×	47 0.4×	32	1.0k
Evžen Amler	597 2.3×	34 0.2×	52 0.3×	34 0.3×	22 0.2×	70	1.0k
Mohammad Shahid	434 1.7×	33 0.2×	24 0.2×	43 0.3×	29 0.3×	85	983

Countries citing papers authored by Tatsuya Maruyama

Since Specialization

Citations

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

Fields of papers citing papers by Tatsuya Maruyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Maruyama

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