Etsuko UTAGAWA

38 total papers · 1.1k total citations
33 papers, 838 citations indexed

About

Etsuko UTAGAWA is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Etsuko UTAGAWA has authored 33 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 15 papers in Animal Science and Zoology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Etsuko UTAGAWA's work include Viral gastroenteritis research and epidemiology (26 papers), Animal Virus Infections Studies (15 papers) and Viral Infections and Immunology Research (9 papers). Etsuko UTAGAWA is often cited by papers focused on Viral gastroenteritis research and epidemiology (26 papers), Animal Virus Infections Studies (15 papers) and Viral Infections and Immunology Research (9 papers). Etsuko UTAGAWA collaborates with scholars based in Japan, United States and Armenia. Etsuko UTAGAWA's co-authors include Hiroyuki Katayama, Eiji Haramoto, Isao Oishi, Yuichi Ishihara, Kikuko Miyamura, Shinichiro Ohgaki, Kenji Yamazaki, Naokazu Takeda, Yukinobu Tohya and Shin Yamazaki and has published in prestigious journals such as Water Research, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Etsuko UTAGAWA

32 papers receiving 790 citations

Author Peers

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

Author						Papers	Cites
Etsuko UTAGAWA	697	317	243	129	122	33	838
Laura C. Martı́nez	744 1.1×	326 1.0×	308 1.3×	168 1.3×	107 0.9×	39	901
H. Laveran	592 0.8×	223 0.7×	176 0.7×	94 0.7×	131 1.1×	51	909
Miguel O. Giordano	641 0.9×	229 0.7×	224 0.9×	171 1.3×	68 0.6×	39	782
Rafaela Espinosa	823 1.2×	381 1.2×	284 1.2×	177 1.4×	326 2.7×	25	1.0k
K. O. Hedlund	709 1.0×	220 0.7×	133 0.5×	95 0.7×	93 0.8×	19	925
Gisela Masachessi	643 0.9×	227 0.7×	193 0.8×	116 0.9×	51 0.4×	36	746
María B. Isa	596 0.9×	180 0.6×	203 0.8×	151 1.2×	59 0.5×	46	738
My V. T. Phan	713 1.0×	279 0.9×	142 0.6×	140 1.1×	80 0.7×	57	967
Suphachai Nuanualsuwan	469 0.7×	164 0.5×	131 0.5×	65 0.5×	86 0.7×	47	886
Cristina Villena	544 0.8×	170 0.5×	182 0.7×	56 0.4×	86 0.7×	21	703

Countries citing papers authored by Etsuko UTAGAWA

Since Specialization

Citations

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

Fields of papers citing papers by Etsuko UTAGAWA

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Etsuko UTAGAWA

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