Chikage Sato

635 total citations
9 papers, 551 citations indexed

About

Chikage Sato is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Chikage Sato has authored 9 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in Chikage Sato's work include Diabetes Treatment and Management (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Chikage Sato is often cited by papers focused on Diabetes Treatment and Management (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Chikage Sato collaborates with scholars based in Japan. Chikage Sato's co-authors include Kenichi Shikata, Hirofumi Makino, Ryo Kodera, Daisuke Ogawa, Satoshi Miyamoto, Motofumi Sasaki, Hitomi Kataoka, Nobuo Kajitani, Daisho Hirota and Soichi Nishishita and has published in prestigious journals such as Diabetes, Diabetologia and Diabetes Research and Clinical Practice.

In The Last Decade

Chikage Sato

9 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chikage Sato Japan	8	290	169	146	114	67	9	551
Daisho Hirota Japan	6	327 1.1×	130 0.8×	162 1.1×	103 0.9×	59 0.9×	6	519
Nobuo Kajitani Japan	9	340 1.2×	168 1.0×	161 1.1×	127 1.1×	87 1.3×	10	640
Ryo Kodera Japan	10	372 1.3×	170 1.0×	188 1.3×	138 1.2×	71 1.1×	16	648
Jun Honjo Japan	12	268 0.9×	240 1.4×	202 1.4×	115 1.0×	61 0.9×	19	634
Nektaria Papadopoulou‐Marketou Greece	10	243 0.8×	154 0.9×	135 0.9×	188 1.6×	78 1.2×	20	741
Motofumi Sasaki Japan	13	334 1.2×	202 1.2×	177 1.2×	177 1.6×	87 1.3×	16	781
Yosuke Nagai Japan	12	194 0.7×	230 1.4×	93 0.6×	205 1.8×	78 1.2×	19	615
Maria Oliveira‐Souza Brazil	17	279 1.0×	321 1.9×	178 1.2×	163 1.4×	31 0.5×	34	696
Mako Yasuda‒Yamahara Japan	15	225 0.8×	246 1.5×	152 1.0×	178 1.6×	77 1.1×	24	694
Hidemitsu Sakagami Japan	8	206 0.7×	206 1.2×	182 1.2×	69 0.6×	36 0.5×	13	515

Countries citing papers authored by Chikage Sato

Since Specialization

Citations

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

Fields of papers citing papers by Chikage Sato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikage Sato

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

Yoshida, Soichiro, Asami Sasaki, Chikage Sato, et al.. (2015). A Novel Approach to Surgical Instructions for Scrub Nurses by Using See-Through–Type Head-Mounted Display. CIN Computers Informatics Nursing. 33(8). 335–338. 5 indexed citations

Miyamoto, Satoshi, Kenichi Shikata, Kyoko Miyasaka, et al.. (2012). Cholecystokinin Plays a Novel Protective Role in Diabetic Kidney Through Anti-inflammatory Actions on Macrophage. Diabetes. 61(4). 897–907. 60 indexed citations

Kodera, Ryo, Kenichi Shikata, Hitomi Kataoka, et al.. (2011). Glucagon-like peptide-1 receptor agonist ameliorates renal injury through its anti-inflammatory action without lowering blood glucose level in a rat model of type 1 diabetes. Diabetologia. 54(4). 965–978. 337 indexed citations

Matsushita, Yuichi, Daisuke Ogawa, Jun Wada, et al.. (2011). Activation of Peroxisome Proliferator–Activated Receptor δ Inhibits Streptozotocin-Induced Diabetic Nephropathy Through Anti-Inflammatory Mechanisms in Mice. Diabetes. 60(3). 960–968. 62 indexed citations

Watanabe, Naomi, Kenichi Shikata, Yasushi Shikata, et al.. (2011). Involvement of MAPKs in ICAM-1 expression in glomerular endothelial cells in diabetic nephropathy.. PubMed. 65(4). 247–57. 26 indexed citations

Sasaki, Motofumi, Kenichi Shikata, Shinichi Okada, et al.. (2011). The macrophage is a key factor in renal injuries caused by glomerular hyperfiltration.. PubMed. 65(2). 81–9. 16 indexed citations

Sato, Chikage, Kenichi Shikata, Daisho Hirota, et al.. (2010). P-Selectin Glycoprotein Ligand-1 Deficiency Is Protective Against Obesity-Related Insulin Resistance. Diabetes. 60(1). 189–199. 26 indexed citations

Shikata, Kenichi, Masakazu Haneda, Daisuke Koya, et al.. (2009). Diabetic Nephropathy Remission and Regression Team Trial in Japan (DNETT-Japan): Rationale and study design. Diabetes Research and Clinical Practice. 87(2). 228–232. 10 indexed citations

Liu, Jianjun, et al.. (1997). Enhanced renal susceptibility to ischemia-reperfusion injury in the rat with obstructive jaundice.. PubMed. 44(15). 789–95. 9 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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