Yu Fukuda

99 total papers · 1.4k total citations
28 papers, 1.1k citations indexed

About

Yu Fukuda is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yu Fukuda has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Oncology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yu Fukuda's work include Drug Transport and Resistance Mechanisms (16 papers), Metabolism and Genetic Disorders (5 papers) and Neonatal Health and Biochemistry (4 papers). Yu Fukuda is often cited by papers focused on Drug Transport and Resistance Mechanisms (16 papers), Metabolism and Genetic Disorders (5 papers) and Neonatal Health and Biochemistry (4 papers). Yu Fukuda collaborates with scholars based in United States, United Kingdom and Japan. Yu Fukuda's co-authors include John D. Schuetz, Yasuyuki Igarashi, Guoqing Du, Partha Krishnamurthy, Akio Kihara, Daxi Sun, Beatriz Sosa‐Pineda, K. Gopal Murti, Janardhan Sampath and Junfeng Wang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yu Fukuda

26 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Yu Fukuda	598	392	135	131	126	28	1.1k
Helen E. McGrath	527 0.9×	292 0.7×	130 1.0×	263 2.0×	29 0.2×	33	1.2k
Jaideep V. Thottassery	570 1.0×	564 1.4×	48 0.4×	71 0.5×	146 1.2×	31	1.2k
Annalisa Camporeale	612 1.0×	387 1.0×	165 1.2×	98 0.7×	34 0.3×	28	1.4k
Roberta C. Reuben	833 1.4×	221 0.6×	115 0.9×	97 0.7×	38 0.3×	20	1.4k
Katalin Német	647 1.1×	839 2.1×	186 1.4×	119 0.9×	177 1.4×	26	1.4k
Mary M. Vaughan	496 0.8×	372 0.9×	63 0.5×	49 0.4×	54 0.4×	27	1.0k
A I Meisler	749 1.3×	363 0.9×	261 1.9×	159 1.2×	129 1.0×	20	1.4k
Federica Saletta	773 1.3×	371 0.9×	75 0.6×	107 0.8×	50 0.4×	38	1.5k
Rama Kannan	446 0.7×	330 0.8×	119 0.9×	143 1.1×	69 0.5×	22	1.0k
Roberta Giuliani	591 1.0×	186 0.5×	114 0.8×	361 2.8×	33 0.3×	25	1.1k

Countries citing papers authored by Yu Fukuda

Since Specialization

Citations

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

Fields of papers citing papers by Yu Fukuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Fukuda

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