Yuki Uehara

173 total papers · 1.8k total citations
108 papers, 1.1k citations indexed

About

Yuki Uehara is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Yuki Uehara has authored 108 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Infectious Diseases, 35 papers in Epidemiology and 25 papers in Clinical Biochemistry. Recurrent topics in Yuki Uehara's work include Antimicrobial Resistance in Staphylococcus (26 papers), Bacterial Identification and Susceptibility Testing (24 papers) and Streptococcal Infections and Treatments (11 papers). Yuki Uehara is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (26 papers), Bacterial Identification and Susceptibility Testing (24 papers) and Streptococcal Infections and Treatments (11 papers). Yuki Uehara collaborates with scholars based in Japan and United States. Yuki Uehara's co-authors include Nobuyoshi Mori, Takahiro Matsuo, Tsuguya Fukui, Fumie Sakamoto, Fumika Taki, Daiki Kobayashi, Keiichi Hiramatsu, Toshio Naito, Kyoko Kuwahara‐Arai and Mitsuru Yanai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Yuki Uehara

94 papers receiving 1.1k citations

Hit Papers

Prevalence of Health Care... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yuki Uehara 356 257 242 215 203 108 1.1k
Eleni Jelastopulu 208 0.6× 134 0.5× 197 0.8× 180 0.8× 388 1.9× 108 1.3k
Itaru Nakamura 423 1.2× 143 0.6× 74 0.3× 190 0.9× 212 1.0× 95 1.2k
Boris Ehrenstein 331 0.9× 138 0.5× 75 0.3× 102 0.5× 309 1.5× 75 1.4k
Madeleine Dulon 408 1.1× 158 0.6× 200 0.8× 49 0.2× 268 1.3× 58 1.4k
David R. Jenkins 564 1.6× 98 0.4× 147 0.6× 72 0.3× 321 1.6× 77 1.5k
Michelle Doll 511 1.4× 88 0.3× 147 0.6× 72 0.3× 201 1.0× 85 1.2k
Nimalie D. Stone 528 1.5× 83 0.3× 488 2.0× 128 0.6× 504 2.5× 70 1.4k
Se Yoon Park 584 1.6× 83 0.3× 115 0.5× 88 0.4× 322 1.6× 101 1.2k
Muna Abu Sin 540 1.5× 114 0.4× 185 0.8× 78 0.4× 390 1.9× 41 1.3k
Folasade Ogunsola 552 1.6× 149 0.6× 169 0.7× 37 0.2× 372 1.8× 79 1.3k

Countries citing papers authored by Yuki Uehara

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Uehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Uehara

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