Reiko Namba

31 total papers · 575 total citations
20 papers, 428 citations indexed

About

Reiko Namba is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Reiko Namba has authored 20 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Reiko Namba's work include Mitochondrial Function and Pathology (8 papers), Genetic Neurodegenerative Diseases (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Reiko Namba is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), Genetic Neurodegenerative Diseases (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Reiko Namba collaborates with scholars based in Japan, United States and China. Reiko Namba's co-authors include Yuetsu Ihara, Shigetoshi Kuroda, Teruo Shirabe, Takeshi Sato, Keigo Nobukuni, Toshiyuki Hayabara, Koji Inui, Keiko Sato, Shintaro Okada and Yoshito Ihara and has published in prestigious journals such as Annals of Neurology, Brain Research and Life Sciences.

In The Last Decade

Reiko Namba

19 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Reiko Namba	216	171	103	92	78	20	428
Mustafa Batbayli	235 1.1×	129 0.8×	125 1.2×	76 0.8×	38 0.5×	10	411
Sachit Shah	157 0.7×	112 0.7×	59 0.6×	118 1.3×	62 0.8×	35	447
Selina Piazza	151 0.7×	236 1.4×	114 1.1×	87 0.9×	90 1.2×	19	459
Julien Chapuis	248 1.1×	83 0.5×	216 2.1×	94 1.0×	38 0.5×	22	467
Hsiu-Chuan Wu	245 1.1×	167 1.0×	115 1.1×	67 0.7×	30 0.4×	20	462
Sayaka Ono	202 0.9×	107 0.6×	42 0.4×	85 0.9×	44 0.6×	24	409
Bilal Khalil	304 1.4×	183 1.1×	91 0.9×	102 1.1×	67 0.9×	13	470
Aleksandra Nadaj‐Pakleza	199 0.9×	117 0.7×	84 0.8×	87 0.9×	27 0.3×	30	433
Mar O’Callaghan	272 1.3×	51 0.3×	125 1.2×	79 0.9×	27 0.3×	26	485
Andreea Manole	233 1.1×	56 0.3×	47 0.5×	93 1.0×	31 0.4×	28	423

Countries citing papers authored by Reiko Namba

Since Specialization

Citations

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

Fields of papers citing papers by Reiko Namba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reiko Namba

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