Madoka Narushima

23 total papers · 1.3k total citations
15 papers, 973 citations indexed

About

Madoka Narushima is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Madoka Narushima has authored 15 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 4 papers in Pharmacology. Recurrent topics in Madoka Narushima's work include Neuroscience and Neuropharmacology Research (11 papers), Cannabis and Cannabinoid Research (4 papers) and Neural dynamics and brain function (4 papers). Madoka Narushima is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Cannabis and Cannabinoid Research (4 papers) and Neural dynamics and brain function (4 papers). Madoka Narushima collaborates with scholars based in Japan, Germany and Hungary. Madoka Narushima's co-authors include Masanobu Kano, Motokazu Uchigashima, Masahiko Watanabe, Masahiro Fukaya, István Katona, Arthur Konnerth, Nima Marandi, Nathalie L. Rochefort, Kouichi Hashimoto and Bruno Pichler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Madoka Narushima

15 papers receiving 967 citations

Author Peers

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

Author Last Decade Papers Cites
Madoka Narushima 753 433 328 265 58 15 973
Barna Dudok 576 0.8× 305 0.7× 300 0.9× 238 0.9× 37 0.6× 21 924
Kenji Araishi 603 0.8× 227 0.5× 303 0.9× 412 1.6× 70 1.2× 9 917
Lijun Heng 835 1.1× 281 0.6× 178 0.5× 396 1.5× 34 0.6× 26 1.2k
Iva Dincheva 670 0.9× 400 0.9× 236 0.7× 250 0.9× 62 1.1× 13 1.2k
Massimo Trusel 593 0.8× 286 0.7× 211 0.6× 269 1.0× 35 0.6× 24 1.0k
Ronald C. Kramis 787 1.0× 904 2.1× 146 0.4× 121 0.5× 62 1.1× 17 1.2k
Ann E. Orme 555 0.7× 487 1.1× 91 0.3× 396 1.5× 34 0.6× 21 1.0k
János Fuzik 451 0.6× 295 0.7× 191 0.6× 360 1.4× 48 0.8× 19 1.0k
Thu N. Huynh 407 0.5× 275 0.6× 209 0.6× 385 1.5× 56 1.0× 14 1.1k
Marco A. Diana 875 1.2× 409 0.9× 408 1.2× 301 1.1× 26 0.4× 20 1.1k

Countries citing papers authored by Madoka Narushima

Since Specialization
Citations

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

Fields of papers citing papers by Madoka Narushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madoka Narushima

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