Moe Tamano

22 total papers · 617 total citations
17 papers, 452 citations indexed

About

Moe Tamano is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Moe Tamano has authored 17 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Moe Tamano's work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). Moe Tamano is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). Moe Tamano collaborates with scholars based in Japan and United States. Moe Tamano's co-authors include Shuji Takada, Masafumi Inui, Hiroshi Asahara, Tomoko Kato, Satoshi Yamashita, Mami Miyado, Maki Fukami, Maki Igarashi, Atsushi Kubo and Satoshi Hara and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Moe Tamano

16 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Moe Tamano	379	201	42	39	24	17	452
Nada Kubikova	395 1.0×	100 0.5×	27 0.6×	16 0.4×	49 2.0×	10	460
Takayuki Koyano	373 1.0×	170 0.8×	94 2.2×	16 0.4×	8 0.3×	27	529
Yaoyong Chen	429 1.1×	97 0.5×	23 0.5×	16 0.4×	31 1.3×	22	518
Atsuhiko Sakai	382 1.0×	96 0.5×	6 0.1×	26 0.7×	51 2.1×	10	495
Wanhua Xie	400 1.1×	96 0.5×	21 0.5×	7 0.2×	9 0.4×	23	492
Erica C. Jonlin	468 1.2×	96 0.5×	7 0.2×	10 0.3×	38 1.6×	15	536
Malavika K. Adur	180 0.5×	61 0.3×	85 2.0×	9 0.2×	9 0.4×	24	426
Huayun Hou	416 1.1×	59 0.3×	14 0.3×	16 0.4×	8 0.3×	15	526
Erin Jimenez	245 0.6×	83 0.4×	21 0.5×	12 0.3×	5 0.2×	12	418
Ana Vasileva	357 0.9×	209 1.0×	66 1.6×	5 0.1×	8 0.3×	11	521

Countries citing papers authored by Moe Tamano

Since Specialization

Citations

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

Fields of papers citing papers by Moe Tamano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moe Tamano

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