Teiya Kijimoto

29 total papers · 883 total citations
24 papers, 627 citations indexed

About

Teiya Kijimoto is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Teiya Kijimoto has authored 24 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Insect Science, 10 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Ecology. Recurrent topics in Teiya Kijimoto's work include Insect and Arachnid Ecology and Behavior (9 papers), Forest Insect Ecology and Management (7 papers) and Neurobiology and Insect Physiology Research (7 papers). Teiya Kijimoto is often cited by papers focused on Insect and Arachnid Ecology and Behavior (9 papers), Forest Insect Ecology and Management (7 papers) and Neurobiology and Insect Physiology Research (7 papers). Teiya Kijimoto collaborates with scholars based in United States, Japan and Israel. Teiya Kijimoto's co-authors include Armin P. Moczek, Justen Andrews, Emilie C. Snell‐Rood, Melissa H. Pespeni, Oliver M. Beckers, Mira Han, Masakatsu Watanabe, Norihiro Okada, James C. Costello and Zuojian Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Teiya Kijimoto

21 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Teiya Kijimoto	313	280	184	161	141	24	627
Monica F. Poelchau	212 0.7×	186 0.7×	226 1.2×	180 1.1×	163 1.2×	21	744
Roberto A. Keller	436 1.4×	456 1.6×	83 0.5×	79 0.5×	98 0.7×	19	726
Janusz Kubrakiewicz	253 0.8×	286 1.0×	84 0.5×	219 1.4×	85 0.6×	39	635
Ulrich Smola	181 0.6×	228 0.8×	111 0.6×	174 1.1×	414 2.9×	41	656
Jean‐Michel Gibert	225 0.7×	172 0.6×	85 0.5×	316 2.0×	213 1.5×	31	664
D. M. Guthrie	221 0.7×	203 0.7×	65 0.4×	114 0.7×	283 2.0×	29	634
Julia H. Bowsher	357 1.1×	325 1.2×	311 1.7×	78 0.5×	75 0.5×	42	596
Marilou P. Sison-Mangus	224 0.7×	293 1.0×	84 0.5×	199 1.2×	222 1.6×	24	783
Pablo Duchen	428 1.4×	185 0.7×	97 0.5×	215 1.3×	51 0.4×	22	682
Konrad Schmidt	396 1.3×	363 1.3×	103 0.6×	95 0.6×	368 2.6×	24	660

Countries citing papers authored by Teiya Kijimoto

Since Specialization

Citations

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

Fields of papers citing papers by Teiya Kijimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teiya Kijimoto

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