Yuri Shimoda

856 total citations
10 papers, 708 citations indexed

About

Yuri Shimoda is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Yuri Shimoda has authored 10 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Yuri Shimoda's work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers) and Immune cells in cancer (2 papers). Yuri Shimoda is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (3 papers) and Immune cells in cancer (2 papers). Yuri Shimoda collaborates with scholars based in Japan. Yuri Shimoda's co-authors include Yasutomi Kamei, Yoshihiro Ogawa, Takayoshi Suganami, Michiko Itoh, Minetaro Ogawa, Kazuko Kitayama, Noboru Motoyama, Tatsuo Furuyama, Hiroshi Hisatsune and Keiichi I. Nakayama and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Diabetes.

In The Last Decade

Yuri Shimoda

9 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuri Shimoda Japan	7	386	218	184	164	78	10	708
Ángela Vinué Spain	14	242 0.6×	157 0.7×	97 0.5×	179 1.1×	24 0.3×	24	650
Cynthia T. Luk Canada	15	269 0.7×	243 1.1×	193 1.0×	92 0.6×	75 1.0×	26	663
Leila Khamzina Canada	6	337 0.9×	161 0.7×	192 1.0×	44 0.3×	67 0.9×	7	618
Céline Gheeraert France	15	536 1.4×	290 1.3×	130 0.7×	71 0.4×	55 0.7×	25	906
Shirley Wang United States	9	280 0.7×	65 0.3×	93 0.5×	132 0.8×	22 0.3×	16	591
Eric Song United States	6	216 0.6×	267 1.2×	96 0.5×	110 0.7×	57 0.7×	13	532
Kenji Ohba Japan	16	354 0.9×	229 1.1×	114 0.6×	60 0.4×	58 0.7×	41	833
Dmitri Svistounov Norway	12	187 0.5×	193 0.9×	111 0.6×	76 0.5×	50 0.6×	19	632
Shen Yon Toh Singapore	9	540 1.4×	245 1.1×	476 2.6×	43 0.3×	126 1.6×	11	1.0k
Jorge Villoria United States	4	337 0.9×	194 0.9×	240 1.3×	41 0.3×	127 1.6×	4	795

Countries citing papers authored by Yuri Shimoda

Since Specialization

Citations

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

Fields of papers citing papers by Yuri Shimoda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuri Shimoda

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

All Works

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10 of 10 papers shown

Shimoda, Yuri. (2020). Optical Transfer Technologies for Radio Transcription Discs. Journal of Archival Organization. 17(1-2). 125–143.

Suganami, Takayoshi, Ibuki Shirakawa, Yoichiro Hirata, et al.. (2011). Increased Expression of Macrophage-Inducible C-type Lectin in Adipose Tissue of Obese Mice and Humans. Diabetes. 60(3). 819–826. 76 indexed citations

Tanaka, Miyako, Takayoshi Suganami, Satoshi Sugita, et al.. (2010). Role of Central Leptin Signaling in Renal Macrophage Infiltration. Endocrine Journal. 57(1). 61–72. 19 indexed citations

Suganami, Takayoshi, Xunmei Yuan, Yuri Shimoda, et al.. (2009). Activating Transcription Factor 3 Constitutes a Negative Feedback Mechanism That Attenuates Saturated Fatty Acid/Toll-Like Receptor 4 Signaling and Macrophage Activation in Obese Adipose Tissue. Circulation Research. 105(1). 25–32. 91 indexed citations

Hashimoto, Kazuaki, et al.. (2007). Distinct hemogenic potential of endothelial cells and CD41⁺ cells in mouse embryos. Development Growth & Differentiation. 49(4). 287–300. 28 indexed citations

Suganami, Takayoshi, et al.. (2007). Attenuation of obesity-induced adipose tissue inflammation in C3H/HeJ mice carrying a Toll-like receptor 4 mutation. Biochemical and Biophysical Research Communications. 354(1). 45–49. 183 indexed citations

Sakamoto, Hiroshi, et al.. (2006). Over‐expression of c‐Myb increases the frequency of hemogenic precursors in the endothelial cell population. Genes to Cells. 11(8). 859–870. 4 indexed citations

Nakajima, Mitsunari, Minetaro Ogawa, Yuri Shimoda, et al.. (2006). Accelerated acquisition of permeability barrier function in the skin of presenilin-1-deficient embryos. Archives of Dermatological Research. 298(7). 339–345. 1 indexed citations

Nakajima, Mitsunari, Minetaro Ogawa, Yuri Shimoda, et al.. (2005). Presenilin‐1 controls the growth and differentiation of endothelial progenitor cells through its β‐catenin‐binding region. Cell Biology International. 30(3). 239–243. 18 indexed citations

10.

Furuyama, Tatsuo, Kazuko Kitayama, Yuri Shimoda, et al.. (2004). Abnormal Angiogenesis in Foxo1 (Fkhr)-deficient Mice. Journal of Biological Chemistry. 279(33). 34741–34749. 288 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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