Nanami Utsumi

548 total citations
9 papers, 300 citations indexed

About

Nanami Utsumi is a scholar working on Molecular Biology, Genetics and Biochemistry. According to data from OpenAlex, Nanami Utsumi has authored 9 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biochemistry. Recurrent topics in Nanami Utsumi's work include Nutrition, Genetics, and Disease (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). Nanami Utsumi is often cited by papers focused on Nutrition, Genetics, and Disease (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). Nanami Utsumi collaborates with scholars based in Japan and Mongolia. Nanami Utsumi's co-authors include Takaya Gotoh, Yoshiko Yanagisawa, Maki Kumada, Kazuhiro Nakayama, Toshinori Omi, Lkhagvasuren Munkhtulga, Sadahiko Iwamoto, Eiji Kajii, Shun Ishibashi and Sadahiko Iwamoto and has published in prestigious journals such as Obesity, Journal of Medical Genetics and Human Genetics.

In The Last Decade

Nanami Utsumi

9 papers receiving 292 citations

Peers

Nanami Utsumi

MB

EPIDE

BIOCH

SURGE

CCM

Kawaljit Matharoo India

Irene Andrés‐Blasco Spain

Leora Hamberger United States

P. Buffier France

Lakshi Starks Australia

Hagit Goldenstein Israel

Anna Kotulska Poland

M. R. S. Rao India

Francisca Salas‐Pérez Chile

Iolanda Santimone Italy

Kawaljit Matharoo India

Nanami Utsumi

100 ×0.5

MB

80 ×1.3

EPIDE

6 ×0.1

BIOCH

39 ×0.9

SURGE

46 ×1.0

CCM

Citations per year, relative to Nanami Utsumi Nanami Utsumi (= 1×) peers Kawaljit Matharoo

Countries citing papers authored by Nanami Utsumi

Since Specialization

Citations

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

Fields of papers citing papers by Nanami Utsumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanami Utsumi

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

All Works

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9 of 9 papers shown

1.

Kawaguchi, Akane, et al.. (2014). Application of the cis‐regulatory region of a heat‐shock protein 70 gene to heat‐inducible gene expression in the ascidian Ciona intestinalis. genesis. 53(1). 170–182. 3 indexed citations

2.

Nakayama, Kazuhiro, Maki Kumada, Takaya Gotoh, et al.. (2009). Large scale replication analysis of loci associated with lipid concentrations in a Japanese population. Journal of Medical Genetics. 46(6). 370–374. 71 indexed citations

3.

Munkhtulga, Lkhagvasuren, Shuichi Nagashima, Kazuhiro Nakayama, et al.. (2009). Regulatory SNP in the RBP4 Gene Modified the Expression in Adipocytes and Associated With BMI. Obesity. 18(5). 1006–1014. 45 indexed citations

4.

Kumada, Maki, Lkhagvasuren Munkhtulga, Nanami Utsumi, et al.. (2008). Genetic Heterogeneity in a Susceptible Region for Essential Hypertension among Demographically Different Local Populations in Japan. Public Health Genomics. 11(3). 150–159. 1 indexed citations

5.

Nakayama, Kazuhiro, Lkhagvasuren Munkhtulga, Yoshiko Yanagisawa, et al.. (2008). Comparative study of polymorphisms on genes associated with lifestyle related diseases in Asian and Pacific populations.. PubMed. 20 Suppl. 173–9. 6 indexed citations

6.

Omi, Toshinori, Maki Kumada, Toyomi Kamesaki, et al.. (2006). An intronic variable number of tandem repeat polymorphisms of the cold-induced autoinflammatory syndrome 1 (CIAS1) gene modifies gene expression and is associated with essential hypertension. European Journal of Human Genetics. 14(12). 1295–1305. 69 indexed citations

7.

Munkhtulga, Lkhagvasuren, Kazuhiro Nakayama, Nanami Utsumi, et al.. (2006). Identification of a regulatory SNP in the retinol binding protein 4 gene associated with type 2 diabetes in Mongolia. Human Genetics. 120(6). 879–888. 93 indexed citations

8.

Utsumi, Nanami, Yasuhiro Shimojima, & Hidetoshi Saiga. (2004). Analysis of ascidian Not genes highlights their evolutionarily conserved and derived features of structure and expression in development. Development Genes and Evolution. 214(9). 460–465. 8 indexed citations

9.

Shikata, Hideo, Nanami Utsumi, Helena Kuivaniemi, & Gerard Tromp. (1995). DNA-based diagnostics in the study of heritable and acquired disorders.. PubMed. 125(4). 421–32. 4 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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