Keiko Oga

497 total citations
10 papers, 217 citations indexed

About

Keiko Oga is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Keiko Oga has authored 10 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Keiko Oga's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Metabolism, Diabetes, and Cancer (4 papers) and Pancreatic function and diabetes (3 papers). Keiko Oga is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Metabolism, Diabetes, and Cancer (4 papers) and Pancreatic function and diabetes (3 papers). Keiko Oga collaborates with scholars based in Japan, Spain and United Kingdom. Keiko Oga's co-authors include Shiro Okuno, Toshihisa Takagi, Takeshi Watanabe, N Kanemoto, Haretsugu Hishigaki, Atsushi B. Tsuji, Yusuke Nakamura, Ei-ichi Takahashi, Akira Tanigami and Ayako Mizoguchi‐Miyakita and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Genomics and Genetics Research.

In The Last Decade

Keiko Oga

10 papers receiving 214 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keiko Oga Japan 7 105 92 72 63 51 10 217
Ayako Mizoguchi‐Miyakita Japan 7 66 0.6× 68 0.7× 46 0.6× 40 0.6× 40 0.8× 9 156
Arnaldo Henrique de Souza United States 9 86 0.8× 114 1.2× 90 1.3× 176 2.8× 70 1.4× 15 342
Leonore Wigger Switzerland 10 35 0.3× 189 2.1× 76 1.1× 55 0.9× 40 0.8× 14 341
Yan Hui United States 4 105 1.0× 175 1.9× 51 0.7× 247 3.9× 24 0.5× 7 327
Audrey Guérardel Switzerland 8 67 0.6× 109 1.2× 50 0.7× 106 1.7× 39 0.8× 9 240
Mayowa A. Osundiji United States 10 65 0.6× 108 1.2× 43 0.6× 158 2.5× 87 1.7× 19 299
Lauren C. Briere United States 10 78 0.7× 103 1.1× 35 0.5× 18 0.3× 25 0.5× 18 253
Francis Bergeron Canada 11 129 1.2× 180 2.0× 42 0.6× 33 0.5× 14 0.3× 18 344
Annette Bérault France 10 76 0.7× 88 1.0× 47 0.7× 16 0.3× 29 0.6× 25 356
Laetitia Corset France 7 72 0.7× 118 1.3× 107 1.5× 31 0.5× 134 2.6× 12 354

Countries citing papers authored by Keiko Oga

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Oga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Oga

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

All Works

10 of 10 papers shown
1.
Muraguchi, Masahiro, et al.. (2006). Functional expression of human type I interferon receptors in the mouse liver. Biochemical and Biophysical Research Communications. 346(1). 61–66. 1 indexed citations
2.
Watanabe, Takeshi, Mikio Suzuki, Yuki Yamasaki, et al.. (2005). MUTATED G‐PROTEIN‐COUPLED RECEPTOR GPR10 IS RESPONSIBLE FOR THE HYPERPHAGIA/DYSLIPIDAEMIA/OBESITY LOCUS OF Dmo1 IN THE OLETF RAT. Clinical and Experimental Pharmacology and Physiology. 32(5-6). 355–366. 41 indexed citations
3.
Watanabe, Takeshi, Shiro Okuno, Yuki Yamasaki, et al.. (2004). A < 1.7 cM interval is responsible for Dmo1 obesity phenotypes in OLETF rats. Clinical and Experimental Pharmacology and Physiology. 31(1-2). 110–112. 5 indexed citations
4.
Watanabe, Takeshi, Shiro Okuno, Toshihide Ono, et al.. (2001). Single‐Allele Correction Of The Dmo1 Locus In Congenic Animals Substantially Attenuates Obesity, Dyslipidaemia And Diabetes Phenotypes Of The Oletf Rat. Clinical and Experimental Pharmacology and Physiology. 28(1-2). 28–42. 7 indexed citations
6.
Okuno, Shiro, Takeshi Watanabe, Toshihide Ono, et al.. (2001). Effects of Dmo1 on obesity, dyslipidaemia and hyperglycaemia in the Otsuka Long Evans Tokushima Fatty strain. Genetics Research. 77(2). 183–190. 7 indexed citations
7.
Watanabe, Takeshi, Toshihide Ono, Shiro Okuno, et al.. (2000). Characterization of newly developed SSLP markers for the rat. Mammalian Genome. 11(4). 300–305. 19 indexed citations
8.
Watanabe, Takeshi, Shiro Okuno, Keiko Oga, et al.. (1999). Genetic Dissection of “OLETF,” a Rat Model for Non-Insulin-Dependent Diabetes Mellitus: Quantitative Trait Locus Analysis of (OLETF × BN) × OLETF. Genomics. 58(3). 233–239. 47 indexed citations
9.
Okuno, Shiro, Takeshi Watanabe, Yoshihiro Gotō, et al.. (1999). Genetic Determinants of Plasma Triglyceride Levels in (OLETF × BN) × OLETF Backcross Rats. Genomics. 62(3). 350–355. 16 indexed citations
10.
Kanemoto, N, Haretsugu Hishigaki, Keiko Oga, et al.. (1998). Genetic dissection of ``OLETF'', a rat model for non-insulin-dependent diabetes mellitus. Mammalian Genome. 9(6). 419–425. 70 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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