Yumi Oya

812 total citations · 1 hit paper
7 papers, 626 citations indexed

About

Yumi Oya is a scholar working on Infectious Diseases, Hepatology and Surgery. According to data from OpenAlex, Yumi Oya has authored 7 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Hepatology and 2 papers in Surgery. Recurrent topics in Yumi Oya's work include Hepatitis Viruses Studies and Epidemiology (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Liver Disease and Transplantation (2 papers). Yumi Oya is often cited by papers focused on Hepatitis Viruses Studies and Epidemiology (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Liver Disease and Transplantation (2 papers). Yumi Oya collaborates with scholars based in Japan and Kuwait. Yumi Oya's co-authors include Kazushi Sugimoto, Kojiro Takase, Katsuya Shiraki, Masahiko Tameda, Chika Kasai, Isao Moritani, Hidekazu Inoue, Masaaki Ito, Yoshiyuki Takei and Junichiro Tanaka and has published in prestigious journals such as Virology, Journal of General Virology and Oncology Reports.

In The Last Decade

Yumi Oya

7 papers receiving 621 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparison of the gut microbiota composition between obese and non-obese individuals in a Japanese population, as analyzed by terminal restriction fragment length polymorphism and next-generation sequencing

2015 448 citations Chika Kasai, Kazushi Sugimoto et al. BMC Gastroenterology profile →

Peers

Yumi Oya

MB

PHYSI

ID

ONCOL

PHEOH

Kojiro Takase Japan

Chika Kasai Japan

Yoshiki Tanaka Japan

Victor H. Carpio United States

Amrita Vijay United Kingdom

Vera Carvalho Denmark

Hanne Jouhten Finland

María Jesús Villanueva-Millán Spain

Tiffany Poon United States

Kojiro Takase Japan

Yumi Oya

450 ×1.0

MB

252 ×1.0

PHYSI

100 ×0.8

ID

74 ×1.1

ONCOL

64 ×1.0

PHEOH

Citations per year, relative to Yumi Oya Yumi Oya (= 1×) peers Kojiro Takase

Countries citing papers authored by Yumi Oya

Since Specialization

Citations

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

Fields of papers citing papers by Yumi Oya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumi Oya

This figure shows the co-authorship network connecting the top 25 collaborators of Yumi Oya. A scholar is included among the top collaborators of Yumi Oya 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 Yumi Oya. Yumi Oya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Nakano, Tatsunori, Masaharu Takahashi, Kazuaki Takahashi, et al.. (2017). Hepatitis E virus subtype 3f strains isolated from Japanese hepatitis patients with no history of travel to endemic areas – The origin analyzed by molecular evolution. Virology. 513. 146–152. 13 indexed citations

2.

Okano, Hiroshi, Yumi Oya, Katsuya Shiraki, et al.. (2017). An autochthonous case of acute hepatitis E in Mie, Japan who was infected with a rare hepatitis E virus strain of subgenotype 3f. Kanzo. 58(1). 53–59. 2 indexed citations

3.

Kasai, Chika, Kazushi Sugimoto, Isao Moritani, et al.. (2016). Changes in plasma ghrelin and leptin levels in patients with peptic ulcer and gastritis following eradication of Helicobacter pylori infection. BMC Gastroenterology. 16(1). 119–119. 16 indexed citations

4.

Kasai, Chika, Kazushi Sugimoto, Isao Moritani, et al.. (2015). Comparison of the gut microbiota composition between obese and non-obese individuals in a Japanese population, as analyzed by terminal restriction fragment length polymorphism and next-generation sequencing. BMC Gastroenterology. 15(1). 100–100. 448 indexed citations breakdown →

5.

Kasai, Chika, Kazushi Sugimoto, Isao Moritani, et al.. (2015). Comparison of human gut microbiota in control subjects and patients with colorectal carcinoma in adenoma: Terminal restriction fragment length polymorphism and next-generation sequencing analyses. Oncology Reports. 35(1). 325–333. 102 indexed citations

6.

Okano, Hiroshi, Masaharu Takahashi, Hiroki Tanaka, et al.. (2013). Characterization of sporadic acute hepatitis E and comparison of hepatitis E virus genomes in acute hepatitis patients and pig liver sold as food in Mie, Japan. Hepatology Research. 44(10). E63–E76. 27 indexed citations

7.

Hara, Kazuya, Yumi Oya, Hiroshi Kinoshita, F Taguchi, & Yoshiaki Yogo. (1986). Sequence Reiteration Required for the Efficient Growth of BK Virus. Journal of General Virology. 67(11). 2555–2559. 18 indexed citations

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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