Tetsuo Takuma

39 total papers · 556 total citations
15 papers, 314 citations indexed

About

Tetsuo Takuma is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Tetsuo Takuma has authored 15 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in Tetsuo Takuma's work include Diabetes Treatment and Management (4 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Tetsuo Takuma is often cited by papers focused on Diabetes Treatment and Management (4 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Tetsuo Takuma collaborates with scholars based in Japan, United States and Sweden. Tetsuo Takuma's co-authors include Kunio Konno, Ken Takeda, Hiroyuki Sugimoto, Sanju Iwamoto, Hirofumi Arimura, Atsushi Masaki, Kenichi Takayasu, Hiroshi Hasegawa, Susumu Yamazaki and Masatoshi Makuuchi and has published in prestigious journals such as Nature, Biochemical and Biophysical Research Communications and Leukemia Research.

In The Last Decade

Tetsuo Takuma

12 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Tetsuo Takuma	93	91	90	80	69	15	314
Frank Lippek	92 1.0×	104 1.1×	57 0.6×	42 0.5×	61 0.9×	15	349
Masahiko Ishizaki	111 1.2×	49 0.5×	106 1.2×	82 1.0×	80 1.2×	13	330
Cai‐Yue Gao	94 1.0×	55 0.6×	130 1.4×	39 0.5×	56 0.8×	21	333
The Minh Luong	90 1.0×	43 0.5×	99 1.1×	25 0.3×	136 2.0×	12	360
Saïda Aarrass	89 1.0×	32 0.4×	174 1.9×	36 0.5×	70 1.0×	14	366
Malin Sternby Eilard	47 0.5×	75 0.8×	74 0.8×	105 1.3×	129 1.9×	27	309
T. Kuroiwa	51 0.5×	50 0.5×	181 2.0×	66 0.8×	34 0.5×	18	363
RM Schmid	138 1.5×	119 1.3×	38 0.4×	45 0.6×	115 1.7×	17	359
Fumiya Yamashita	58 0.6×	32 0.4×	32 0.4×	106 1.3×	38 0.6×	19	269
Elia Girolami	25 0.3×	66 0.7×	128 1.4×	79 1.0×	46 0.7×	13	286

Countries citing papers authored by Tetsuo Takuma

Since Specialization

Citations

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

Fields of papers citing papers by Tetsuo Takuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Takuma

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