Masako Udono

30 total papers · 412 total citations
13 papers, 298 citations indexed

About

Masako Udono is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Masako Udono has authored 13 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Masako Udono's work include Skin and Cellular Biology Research (3 papers), DNA Repair Mechanisms (3 papers) and Porphyrin Metabolism and Disorders (2 papers). Masako Udono is often cited by papers focused on Skin and Cellular Biology Research (3 papers), DNA Repair Mechanisms (3 papers) and Porphyrin Metabolism and Disorders (2 papers). Masako Udono collaborates with scholars based in Japan, France and United States. Masako Udono's co-authors include Peter C. Verlander, Christopher G. Mathew, Qingjiong Zhang, Rachel A. Gibson, Arleen D. Auerbach, Makoto Hori, Mitsuru Kawai, Jouni Uitto, Yasuko Takizawa and Masao Yamada and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and Photochemistry and Photobiology.

In The Last Decade

Masako Udono

13 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Masako Udono 189 98 48 46 45 13 298
Rossana Tiberio 115 0.6× 52 0.5× 49 1.0× 26 0.6× 58 1.3× 16 312
Ana Freije 200 1.1× 89 0.9× 26 0.5× 22 0.5× 73 1.6× 14 314
Sally D. Pennypacker 227 1.2× 64 0.7× 26 0.5× 44 1.0× 93 2.1× 9 355
Ankit Dahal 126 0.7× 92 0.9× 32 0.7× 54 1.2× 52 1.2× 9 330
Aasa R. Schjølberg 126 0.7× 72 0.7× 80 1.7× 21 0.5× 42 0.9× 19 325
D. Moffat 132 0.7× 55 0.6× 21 0.4× 21 0.5× 44 1.0× 14 359
Arturo Incao 176 0.9× 126 1.3× 33 0.7× 73 1.6× 36 0.8× 15 354
J. W. Orr 87 0.5× 41 0.4× 26 0.5× 45 1.0× 30 0.7× 12 288
Päivi M. Hägg 120 0.6× 56 0.6× 17 0.4× 67 1.5× 76 1.7× 13 274
Eugenia Piccinni 155 0.8× 168 1.7× 14 0.3× 34 0.7× 18 0.4× 9 300

Countries citing papers authored by Masako Udono

Since Specialization
Citations

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

Fields of papers citing papers by Masako Udono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Udono

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