T. Ikeda

34 total papers · 521 total citations
29 papers, 424 citations indexed

About

T. Ikeda is a scholar working on Plant Science, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. Ikeda has authored 29 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Ecology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. Ikeda's work include Forest Insect Ecology and Management (9 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Plant and animal studies (4 papers). T. Ikeda is often cited by papers focused on Forest Insect Ecology and Management (9 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Plant and animal studies (4 papers). T. Ikeda collaborates with scholars based in Japan and United States. T. Ikeda's co-authors include Fumio Matsumura, Tomoya Kiyohara, D. M. Benjamin, Masayasu Ohtsu, Emiko Maruta, Kazuo Tarao, Kôji Hayashi, Akira Sakurai, Takuya Okada and Shin‐ichi Yamamoto and has published in prestigious journals such as Gut, Scientific Reports and Chemosphere.

In The Last Decade

T. Ikeda

28 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
T. Ikeda 183 110 99 93 92 29 424
Stephen G. Boyce 136 0.7× 129 1.2× 67 0.7× 14 0.2× 78 0.8× 27 421
George S. Puritch 223 1.2× 74 0.7× 94 0.9× 46 0.5× 55 0.6× 19 388
Shau‐Ting Chiu 145 0.8× 71 0.6× 150 1.5× 25 0.3× 98 1.1× 19 387
Campbell G. Davidson 231 1.3× 34 0.3× 61 0.6× 15 0.2× 63 0.7× 35 433
George H. Hepting 202 1.1× 122 1.1× 49 0.5× 48 0.5× 51 0.6× 17 385
Fabian Weikl 148 0.8× 41 0.4× 135 1.4× 50 0.5× 35 0.4× 17 479
Shigenobu Tamai 201 1.1× 147 1.3× 82 0.8× 70 0.8× 34 0.4× 26 381
Daniel Lord 115 0.6× 105 1.0× 193 1.9× 52 0.6× 73 0.8× 29 385
Willis R. Littke 151 0.8× 177 1.6× 121 1.2× 154 1.7× 57 0.6× 20 402
Yannis Raftoyannis 171 0.9× 79 0.7× 252 2.5× 28 0.3× 39 0.4× 24 448

Countries citing papers authored by T. Ikeda

Since Specialization
Citations

This map shows the geographic impact of T. Ikeda'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 T. Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ikeda more than expected).

Fields of papers citing papers by T. Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Ikeda

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