Takeshi Torimaru

37 total papers · 426 total citations
27 papers, 347 citations indexed

About

Takeshi Torimaru is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Takeshi Torimaru has authored 27 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nature and Landscape Conservation, 14 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Molecular Biology. Recurrent topics in Takeshi Torimaru's work include Ecology and Vegetation Dynamics Studies (15 papers), Plant and animal studies (14 papers) and Plant Reproductive Biology (8 papers). Takeshi Torimaru is often cited by papers focused on Ecology and Vegetation Dynamics Studies (15 papers), Plant and animal studies (14 papers) and Plant Reproductive Biology (8 papers). Takeshi Torimaru collaborates with scholars based in Japan, Sweden and United States. Takeshi Torimaru's co-authors include Nobuhiro Tomaru, D. Lindgren, Xiaoru Wang, Naoyuki Nishimura, B. Andersson, Shin‐Ichi Yamamoto, S Yamamoto, Yoshihiko Tsumura, Naoki Tani and Anders Fries and has published in prestigious journals such as Evolution, Molecular Ecology and Forest Ecology and Management.

In The Last Decade

Takeshi Torimaru

27 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Takeshi Torimaru	174	171	144	105	100	27	347
Satoshi Kikuchi	156 0.9×	85 0.5×	147 1.0×	139 1.3×	95 0.9×	30	338
Aristotelis C. Papageorgiou	116 0.7×	129 0.8×	98 0.7×	161 1.5×	108 1.1×	36	399
Molly A. Whalen	216 1.2×	140 0.8×	125 0.9×	143 1.4×	32 0.3×	33	363
Isabelle Bilger	111 0.6×	84 0.5×	138 1.0×	127 1.2×	79 0.8×	14	370
Aðalsteinn Sigurgeirsson	92 0.5×	117 0.7×	82 0.6×	126 1.2×	71 0.7×	27	347
Jon M. Stucky	211 1.2×	109 0.6×	71 0.5×	197 1.9×	63 0.6×	33	330
Mari Rusanen	134 0.8×	149 0.9×	113 0.8×	123 1.2×	76 0.8×	26	372
Peter Cuneo	126 0.7×	139 0.8×	67 0.5×	172 1.6×	66 0.7×	22	376
Dénes Bartha	100 0.6×	95 0.6×	130 0.9×	178 1.7×	42 0.4×	49	398
Naoyuki Nakahama	156 0.9×	82 0.5×	108 0.8×	80 0.8×	67 0.7×	48	311

Countries citing papers authored by Takeshi Torimaru

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Torimaru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Torimaru

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