Kaori Masuda

23 total papers · 754 total citations
16 papers, 617 citations indexed

About

Kaori Masuda is a scholar working on Epidemiology, Physiology and Aquatic Science. According to data from OpenAlex, Kaori Masuda has authored 16 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Physiology and 3 papers in Aquatic Science. Recurrent topics in Kaori Masuda's work include Reproductive biology and impacts on aquatic species (4 papers), Aquaculture Nutrition and Growth (3 papers) and Sperm and Testicular Function (2 papers). Kaori Masuda is often cited by papers focused on Reproductive biology and impacts on aquatic species (4 papers), Aquaculture Nutrition and Growth (3 papers) and Sperm and Testicular Function (2 papers). Kaori Masuda collaborates with scholars based in Japan, United States and Thailand. Kaori Masuda's co-authors include Kenjiro Yamagami, Hiroshi Kiwada, Masako Ichihara, Tatsuhiro Ishida, Kenji Irimura, Koichiro Miyata, Junichiro Nishi, Koichi Tokuda, Kunitaka Fukuizumi and Yoko Aoyagi and has published in prestigious journals such as International Journal of Pharmaceutics, Journal of Non-Crystalline Solids and International Journal of Antimicrobial Agents.

In The Last Decade

Kaori Masuda

16 papers receiving 591 citations

Author Peers

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

Author Last Decade Papers Cites
Kaori Masuda 211 130 104 96 77 16 617
Konstantinos Gkouvatsos 133 0.6× 131 1.0× 26 0.3× 15 0.2× 4 0.1× 13 693
Yang Wang 201 1.0× 226 1.7× 83 0.8× 15 0.2× 3 0.0× 25 589
Bing Wu 70 0.3× 263 2.0× 16 0.2× 94 1.0× 6 0.1× 31 647
Charles E. Huggins 26 0.1× 80 0.6× 25 0.2× 9 0.1× 41 0.5× 19 585
Bjarne J. Kvam 271 1.3× 163 1.3× 102 1.0× 26 0.3× 2 0.0× 17 634
Tina Kiffer-Moreira 68 0.3× 189 1.5× 224 2.2× 16 0.2× 35 0.5× 19 561
Xiaoou Li 68 0.3× 269 2.1× 12 0.1× 60 0.6× 27 0.4× 24 554
Marcin Balcerzak 35 0.2× 278 2.1× 190 1.8× 38 0.4× 15 0.2× 20 649
Hongying Duan 126 0.6× 262 2.0× 47 0.5× 7 0.1× 5 0.1× 30 646
Daniela Pintérová 76 0.4× 167 1.3× 44 0.4× 11 0.1× 5 0.1× 18 501

Countries citing papers authored by Kaori Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaori Masuda

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