Maki Yamada

4.1k total citations
76 papers, 3.2k citations indexed

About

Maki Yamada is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Maki Yamada has authored 76 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 17 papers in Developmental Neuroscience. Recurrent topics in Maki Yamada's work include Neuroscience and Neuropharmacology Research (27 papers), Neurogenesis and neuroplasticity mechanisms (16 papers) and Memory and Neural Mechanisms (8 papers). Maki Yamada is often cited by papers focused on Neuroscience and Neuropharmacology Research (27 papers), Neurogenesis and neuroplasticity mechanisms (16 papers) and Memory and Neural Mechanisms (8 papers). Maki Yamada collaborates with scholars based in Japan, United States and China. Maki Yamada's co-authors include Norio Matsuki, Yuji Ikegaya, Nobuyoshi Nishiyama, Katsuhiko Mikoshiba, Teiichi Furuichi, Takeshi Nakamura, Shigeyoshi Fujisawa, Atsushi Miyawaki, Eiichiro Nagata and Hiroyuki Yoneshima and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Maki Yamada

73 papers receiving 3.2k 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 Yamada Japan 28 1.5k 1.4k 447 325 313 76 3.2k
Moo Ho Won South Korea 35 1.7k 1.1× 1.3k 0.9× 343 0.8× 621 1.9× 137 0.4× 166 3.9k
Alberta Leon Italy 26 1.2k 0.8× 1.2k 0.9× 249 0.6× 699 2.2× 202 0.6× 66 3.2k
Antonio Malgaroli Italy 27 2.2k 1.5× 1.9k 1.3× 159 0.4× 430 1.3× 463 1.5× 74 3.8k
Etsuko Wada Japan 39 3.9k 2.5× 2.9k 2.1× 245 0.5× 643 2.0× 296 0.9× 79 6.4k
Akira Katoh Japan 34 1.5k 1.0× 1.0k 0.7× 205 0.5× 187 0.6× 431 1.4× 174 3.7k
Tae‐Cheon Kang South Korea 38 2.5k 1.7× 1.9k 1.4× 364 0.8× 702 2.2× 198 0.6× 271 5.4k
François Ichas France 31 3.4k 2.2× 1.0k 0.7× 477 1.1× 507 1.6× 139 0.4× 56 4.9k
Yinghe Hu China 24 1.2k 0.8× 1.1k 0.8× 257 0.6× 695 2.1× 375 1.2× 60 2.9k
Hugh C. Hemmings United States 36 3.2k 2.1× 2.7k 2.0× 339 0.8× 412 1.3× 409 1.3× 74 5.1k
Jean‐Yves Chatton Switzerland 33 1.5k 1.0× 1.5k 1.1× 241 0.5× 553 1.7× 481 1.5× 75 3.3k

Countries citing papers authored by Maki Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Maki Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Yamada. A scholar is included among the top collaborators of Maki Yamada 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 Yamada. Maki Yamada 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.
Kuboyama, Kazuya, Takafumi Inoue, Yuki Hashimotodani, et al.. (2020). Traceable stimulus-dependent rapid molecular changes in dendritic spines in the brain. Scientific Reports. 10(1). 15266–15266. 1 indexed citations
2.
Kuboyama, Kazuya & Maki Yamada. (2020). Basic method of VFC and neuronal calcium imaging. OSF Preprints (OSF Preprints). 1 indexed citations
3.
Yamada, Maki. (2016). Angiogenesis in refractory depression: A possible phenotypic target to avoid the blood brain barrier. Drug Discoveries & Therapeutics. 10(2). 74–78. 11 indexed citations
4.
Miyamoto, M., et al.. (2016). Continuous Quality Control Method for Fresh Concrete Using Probe inside Drum. Concrete Journal. 54(4). 353–361.
5.
Yamamoto, Mika, Naoki Shitsukawa, Maki Yamada, et al.. (2012). Identification of a novel homolog for a calmodulin-binding protein that is upregulated in alloplasmic wheat showing pistillody. Planta. 237(4). 1001–1013. 10 indexed citations
6.
Kaido, Takanobu, et al.. (2012). Malformations of cortical development with good clinical outcome: a case report and review of literature. BMJ Case Reports. 2012. bcr1120115219–bcr1120115219. 1 indexed citations
7.
Murakami, Katsumi, et al.. (2011). Influence of Airflow and Body Size on Breath Sounds in Healthy Children. 41(2). 69–74. 4 indexed citations
8.
Peng, Yi‐Rong, et al.. (2010). Postsynaptic Spiking Homeostatically Induces Cell-Autonomous Regulation of Inhibitory Inputs via Retrograde Signaling. Journal of Neuroscience. 30(48). 16220–16231. 68 indexed citations
9.
Kitanishi, Takuma, Jun Sakai, Shinichi Kojima, et al.. (2010). Activity‐dependent localization in spines of the F‐actin capping protein CapZ screened in a rat model of dementia. Genes to Cells. 15(7). 737–747. 14 indexed citations
10.
Sugiura, Yuki, Shuichi Shimma, Yoshiyuki Konishi, Maki Yamada, & Mitsutoshi Setou. (2008). Imaging Mass Spectrometry Technology and Application on Ganglioside Study; Visualization of Age-Dependent Accumulation of C20-Ganglioside Molecular Species in the Mouse Hippocampus. PLoS ONE. 3(9). e3232–e3232. 123 indexed citations
11.
Ikeda, Takamitsu, Norio Matsuki, & Maki Yamada. (2006). Estrogen produced in cultured hippocampal neurons is a functional regulator of a GABAergic machinery. Journal of Neuroscience Research. 84(8). 1771–1777. 17 indexed citations
12.
Tamura, Makoto, Ryuta Koyama, Yuji Ikegaya, Norio Matsuki, & Maki Yamada. (2006). K252a, an inhibitor of Trk, disturbs pathfinding of hippocampal mossy fibers. Neuroreport. 17(5). 481–486. 15 indexed citations
13.
Unno, Tomonori, Hayato Matsuyama, Y. IZUMI, et al.. (2006). Roles of M2and M3muscarinic receptors in cholinergic nerve‐induced contractions in mouse ileum studied with receptor knockout mice. British Journal of Pharmacology. 149(8). 1022–1030. 48 indexed citations
14.
Nakatoh, Yoshihisa, et al.. (2004). An adaptive MEL-LPC analysis for speech recognition. 933–936. 4 indexed citations
15.
Koyama, Ryuta, Maki Yamada, Nobuyoshi Nishiyama, Norio Matsuki, & Yuji Ikegaya. (2003). Developmental switch in axon guidance modes of hippocampal mossy fibers in vitro. Developmental Biology. 267(1). 29–42. 16 indexed citations
16.
Uchimiya, Hirofumi, Jirong Huang, Masanori Nishioka, et al.. (2002). Transgenic rice plants conferring increased tolerance to rice blast and multiple environmental stresses. Molecular Breeding. 9(1). 25–31. 16 indexed citations
17.
Baba, Atsushi, Maki Yamada, Nobuyoshi Nishiyama, Norio Matsuki, & Yuji Ikegaya. (2002). Different Ca2+ dynamics between isolated hippocampal pyramidal cells and dentate granule cells. Journal of Neurocytology. 31(1). 41–48. 9 indexed citations
18.
Kanno, Akihiro, et al.. (1998). Case Report: Cytomegalovirus-Induced Gastrointestinal Disease in Previously Healthy Adults. Digestive Diseases and Sciences. 43(4). 746–748. 6 indexed citations
19.
Morikawa, Kiyoshi, Tetsuya Ohbayashi, Yoshiyuki Konishi, et al.. (1997). Transcription initiation sites and promoter structure of the mouse type 2 inositol 1,4,5-trisphosphate receptor gene. Gene. 196(1-2). 181–185. 8 indexed citations
20.
Yamada, Maki, et al.. (1984). Notes on apple fruit damage caused by sucking of the large brown cicada Graptopsaltria nigrofuscata Motschulsky. 35. 140–143.

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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