Ryoko Uemura

66 total papers · 585 total citations
48 papers, 390 citations indexed

About

Ryoko Uemura is a scholar working on Microbiology, Endocrinology and Infectious Diseases. According to data from OpenAlex, Ryoko Uemura has authored 48 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Microbiology, 12 papers in Endocrinology and 11 papers in Infectious Diseases. Recurrent topics in Ryoko Uemura's work include Microbial infections and disease research (17 papers), Escherichia coli research studies (9 papers) and Aquaculture disease management and microbiota (8 papers). Ryoko Uemura is often cited by papers focused on Microbial infections and disease research (17 papers), Escherichia coli research studies (9 papers) and Aquaculture disease management and microbiota (8 papers). Ryoko Uemura collaborates with scholars based in Japan, Egypt and Vietnam. Ryoko Uemura's co-authors include Masuo SUEYOSHI, Hiroshi NAGATOMO, Wataru Yamazaki, Naoaki Misawa, Yosuke Sasaki, Yuko Kumeda, Wataru Sato, Yoshitaka Goto, Satoshi Sekiguchi and Masahiro Yasuda and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

Ryoko Uemura

41 papers receiving 376 citations

Author Peers

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

Author Last Decade Papers Cites
Ryoko Uemura 98 97 94 77 69 48 390
Xiangchao Cheng 65 0.7× 61 0.6× 87 0.9× 83 1.1× 43 0.6× 35 400
Xianrong Meng 65 0.7× 108 1.1× 50 0.5× 55 0.7× 93 1.3× 32 441
Fatma Youssef 63 0.6× 89 0.9× 45 0.5× 90 1.2× 34 0.5× 33 437
Nathalie Chanteloup 169 1.7× 117 1.2× 44 0.5× 40 0.5× 67 1.0× 19 383
Anil Thachil 58 0.6× 82 0.8× 63 0.7× 139 1.8× 61 0.9× 27 415
André Becker Simões Saidenberg 122 1.2× 127 1.3× 45 0.5× 52 0.7× 87 1.3× 37 431
Qingping Luo 37 0.4× 131 1.4× 75 0.8× 43 0.6× 49 0.7× 37 409
Seyed Ali Pourbakhsh 193 2.0× 140 1.4× 69 0.7× 32 0.4× 69 1.0× 24 363
K. Tayfun Çarlı 101 1.0× 264 2.7× 54 0.6× 47 0.6× 54 0.8× 31 379
Dan‐Yuan Lo 57 0.6× 87 0.9× 36 0.4× 49 0.6× 42 0.6× 29 336

Countries citing papers authored by Ryoko Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Ryoko Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoko Uemura

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