Maki Ikebuchi

563 total citations
24 papers, 383 citations indexed

About

Maki Ikebuchi is a scholar working on Ecology, Evolution, Behavior and Systematics, Developmental Biology and Ecology. According to data from OpenAlex, Maki Ikebuchi has authored 24 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, Evolution, Behavior and Systematics, 21 papers in Developmental Biology and 8 papers in Ecology. Recurrent topics in Maki Ikebuchi's work include Animal Behavior and Reproduction (22 papers), Animal Vocal Communication and Behavior (21 papers) and Plant and animal studies (8 papers). Maki Ikebuchi is often cited by papers focused on Animal Behavior and Reproduction (22 papers), Animal Vocal Communication and Behavior (21 papers) and Plant and animal studies (8 papers). Maki Ikebuchi collaborates with scholars based in Japan, Germany and United States. Maki Ikebuchi's co-authors include Kazuo Okanoya, Hans‐Joachim Bischof, Toshikazu Hasegawa, Kenta Suzuki, Miki Takahasi, Hiroko Yamada, Masayo Soma, Kohta I. Kobayasi, Benedikt Grothe and Hiroyuki Uno and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Maki Ikebuchi

24 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maki Ikebuchi Japan 11 268 267 143 99 41 24 383
Allison H. Hahn Canada 12 231 0.9× 254 1.0× 136 1.0× 82 0.8× 29 0.7× 42 414
Kenta Suzuki Japan 13 378 1.4× 288 1.1× 215 1.5× 92 0.9× 49 1.2× 32 583
Isabelle George France 14 289 1.1× 236 0.9× 185 1.3× 77 0.8× 114 2.8× 27 418
Uri Grodzinski United Kingdom 11 92 0.3× 212 0.8× 147 1.0× 82 0.8× 39 1.0× 11 312
Arla G. Hile United States 8 148 0.6× 209 0.8× 128 0.9× 79 0.8× 27 0.7× 12 317
Kazuchika Manabe Japan 11 199 0.7× 188 0.7× 148 1.0× 35 0.4× 71 1.7× 25 413
Nora H. Prior United States 15 290 1.1× 364 1.4× 195 1.4× 165 1.7× 20 0.5× 31 558
Barbara C. Klump United Kingdom 11 125 0.5× 142 0.5× 93 0.7× 171 1.7× 22 0.5× 20 351
Farrah N. Madison United States 12 142 0.5× 158 0.6× 103 0.7× 107 1.1× 16 0.4× 20 397
Patrice Adret United States 10 290 1.1× 268 1.0× 188 1.3× 75 0.8× 70 1.7× 19 403

Countries citing papers authored by Maki Ikebuchi

Since Specialization
Citations

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

Fields of papers citing papers by Maki Ikebuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Ikebuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Ikebuchi. A scholar is included among the top collaborators of Maki Ikebuchi 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 Maki Ikebuchi. Maki Ikebuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ikebuchi, Maki, et al.. (2021). Sex differences in the development and expression of a preference for familiar vocal signals in songbirds. PLoS ONE. 16(1). e0243811–e0243811. 9 indexed citations
2.
Yanagihara, Shin, Maki Ikebuchi, Chihiro Mori, Ryosuke O. Tachibana, & Kazuo Okanoya. (2021). Neural correlates of vocal initiation in the VTA/SNc of juvenile male zebra finches. Scientific Reports. 11(1). 22388–22388. 3 indexed citations
3.
4.
Yanagihara, Shin, Maki Ikebuchi, Chihiro Mori, Ryosuke O. Tachibana, & Kazuo Okanoya. (2020). Arousal State-Dependent Alterations in Neural Activity in the Zebra Finch VTA/SNc. Frontiers in Neuroscience. 14. 897–897. 5 indexed citations
5.
Ikebuchi, Maki, Kazuo Okanoya, Toshikazu Hasegawa, & Hans‐Joachim Bischof. (2017). Chick Development and Asynchroneous Hatching in the Zebra Finch (Taeniopygia guttata castanotis). ZOOLOGICAL SCIENCE. 34(5). 369–376. 1 indexed citations
6.
Ikebuchi, Maki, et al.. (2016). Auditory Responses to Vocal Sounds in the Songbird Nucleus Taeniae of the Amygdala and the Adjacent Arcopallium. Brain Behavior and Evolution. 87(4). 275–289. 10 indexed citations
7.
Suzuki, Kenta, Maki Ikebuchi, Hans‐Joachim Bischof, & Kazuo Okanoya. (2014). Behavioral and neural trade-offs between song complexity and stress reaction in a wild and a domesticated finch strain. Neuroscience & Biobehavioral Reviews. 46. 547–556. 22 indexed citations
8.
Suzuki, Kenta, Maki Ikebuchi, & Kazuo Okanoya. (2013). The impact of domestication on fearfulness: A comparison of tonic immobility reactions in wild and domesticated finches. Behavioural Processes. 100. 58–63. 29 indexed citations
9.
Ikebuchi, Maki, et al.. (2012). Very Early Development of Nucleus Taeniae of the Amygdala. Brain Behavior and Evolution. 81(1). 12–26. 17 indexed citations
10.
11.
Ikebuchi, Maki, Toshikazu Hasegawa, & Hans‐Joachim Bischof. (2009). Amygdala and Socio-Sexual Behavior in Male Zebra Finches. Brain Behavior and Evolution. 74(4). 250–257. 27 indexed citations
12.
Yamashita, Yuichi, Miki Takahasi, Tetsu Okumura, et al.. (2008). Developmental learning of complex syntactical song in the Bengalese finch: A neural network model. Neural Networks. 21(9). 1224–1231. 16 indexed citations
13.
Park, Thomas J., Antje Brand, Ursula Koch, Maki Ikebuchi, & Benedikt Grothe. (2007). Dynamic changes in level influence spatial coding in the lateral superior olive. Hearing Research. 238(1-2). 58–67. 18 indexed citations
14.
Ikebuchi, Maki & Kazuo Okanoya. (2006). Growth of pair bonding in Zebra Finches: physical and social factors. ORNITHOLOGICAL SCIENCE. 5(1). 65–75. 9 indexed citations
15.
Soma, Masayo, Miki Takahasi, Maki Ikebuchi, et al.. (2006). Early Rearing Conditions Affect the Development of Body Size and Song in Bengalese Finches. Ethology. 112(11). 1071–1078. 56 indexed citations
16.
Takahasi, Miki, Maki Ikebuchi, & Kazuo Okanoya. (2005). Spatiotemporal properties of visual stimuli for song induction in Bengalese finches. Neuroreport. 16(12). 1339–1343. 9 indexed citations
17.
Ikebuchi, Maki, et al.. (2003). Sex differences in song perception in Bengalese finches measured by the cardiac response. Animal Behaviour. 65(1). 123–130. 19 indexed citations
18.
Okanoya, Kazuo, Maki Ikebuchi, Hiroyuki Uno, & Shigeru Watanabe. (2001). Left-side dominance for song discrimination in Bengalese finches (Lonchura striata var. domestica). Animal Cognition. 4(3-4). 241–245. 16 indexed citations
19.
Ikebuchi, Maki & Kazuo Okanoya. (2000). Limited auditory memory for conspecific songs in a non-territorial songbird. Neuroreport. 11(17). 3915–3919. 9 indexed citations
20.
Ikebuchi, Maki & Kazuo Okanoya. (1999). Male Zebra Finches and Bengalese Finches Emit Directed Songs to the Video Images of Conspecific Females Projected onto a TFT Display. ZOOLOGICAL SCIENCE. 16(1). 63–70. 49 indexed citations

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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