Shinya Kikuchi

734 total citations
19 papers, 523 citations indexed

About

Shinya Kikuchi is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Shinya Kikuchi has authored 19 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Shinya Kikuchi's work include Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Alcohol Consumption and Health Effects (3 papers). Shinya Kikuchi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Alcohol Consumption and Health Effects (3 papers). Shinya Kikuchi collaborates with scholars based in Japan, United States and United Kingdom. Shinya Kikuchi's co-authors include Yoshitaka Nagai, Toshiaki Takahashi, Shinichi Katada, Masatoyo Nishizawa, Osamu Onodera, Hiroshi Yamamoto, MH Mahbub, Hidekazu Takahashi, Natsu Yamaguchi and Tsuyoshi Tanabe and has published in prestigious journals such as PLoS ONE, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Shinya Kikuchi

18 papers receiving 516 citations

Peers

Shinya Kikuchi

CMN

PHYSI

ONCOL

Saïd El Shamieh Lebanon

Peter Kupchak Canada

Jasmine Lew United States

Yuichi Yahagi Japan

Fang Lu China

Eileen Vesely United States

Christian Rimmbach Germany

Morag Shaw United Kingdom

Anna Perfetti Italy

Christine Shugrue United States

Saïd El Shamieh Lebanon

Shinya Kikuchi

507 ×1.4

92 ×0.6

CMN

68 ×0.8

PHYSI

38 ×0.5

ONCOL

41 ×0.6

Citations per year, relative to Shinya Kikuchi Shinya Kikuchi (= 1×) peers Saïd El Shamieh

Countries citing papers authored by Shinya Kikuchi

Since Specialization

Citations

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

Fields of papers citing papers by Shinya Kikuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Kikuchi

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

All Works

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19 of 19 papers shown

Azuma, Koichi, Tomoyuki Tagami, Rika Kasajima, et al.. (2022). Clinical significance of plasma-free amino acids and tryptophan metabolites in patients with non-small cell lung cancer receiving PD-1 inhibitor: a pilot cohort study for developing a prognostic multivariate model. Journal for ImmunoTherapy of Cancer. 10(5). e004420–e004420. 27 indexed citations

Mahbub, MH, Natsu Yamaguchi, Yuki Nakagami, et al.. (2021). Association of Plasma Branched-Chain and Aromatic Amino Acids with Reduction in Kidney Function Evaluated in Apparently Healthy Adults. Journal of Clinical Medicine. 10(22). 5234–5234. 10 indexed citations

Higashiyama, Masahiko, Ryohei Miyazaki, Hiroshi Yamamoto, et al.. (2020). Preoperative AminoIndex Cancer Screening (AICS) abnormalities predict postoperative recurrence in patients undergoing curative resection for non-small cell lung cancer. BMC Cancer. 20(1). 1100–1100. 4 indexed citations

Mahbub, MH, Natsu Yamaguchi, Hidekazu Takahashi, et al.. (2020). Plasma Branched-Chain and Aromatic Amino Acids in Relation to Hypertension. Nutrients. 12(12). 3791–3791. 25 indexed citations

Hiraoka, Nobuyoshi, Shinya Kikuchi, Yoshinori Ino, et al.. (2019). Tissue amino acid profiles are characteristic of tumor type, malignant phenotype, and tumor progression in pancreatic tumors. Scientific Reports. 9(1). 9816–9816. 13 indexed citations

Mahbub, MH, Natsu Yamaguchi, Hidekazu Takahashi, et al.. (2019). Relationship of reduced glomerular filtration rate with alterations in plasma free amino acids and uric acid evaluated in healthy control and hypertensive subjects. Scientific Reports. 9(1). 10252–10252. 11 indexed citations

Mizuno, Suguru, Hiroyuki Isayama, Yousuke Nakai, et al.. (2019). Diagnostic yield of the plasma free amino acid index for pancreatic cancer in patients with diabetes mellitus. Pancreatology. 19(5). 695–698. 8 indexed citations

Mikami, Haruo, Osamu Kimura, Hiroshi Yamamoto, et al.. (2019). A multicentre clinical validation of AminoIndex Cancer Screening (AICS). Scientific Reports. 9(1). 13831–13831. 19 indexed citations

Katayama, Kayoko, et al.. (2018). Perioperative dynamics and significance of plasma-free amino acid profiles in colorectal cancer. BMC Surgery. 18(1). 11–11. 9 indexed citations

10.

Anayama, Takashi, Masahiko Higashiyama, Hiroshi Yamamoto, et al.. (2018). Post-operative AICS status in completely resected lung cancer patients with pre-operative AICS abnormalities: predictive significance of disease recurrence. Scientific Reports. 8(1). 5 indexed citations

11.

Yamakado, Minoru, Hiroshi Yamamoto, Shinya Kikuchi, et al.. (2017). Study on Usefulness of AminoIndex Cancer Screening as a Novel Cancer Screening Method-Third Report-. 31(5). 688. 3 indexed citations

12.

Yamaguchi, Natsu, MH Mahbub, Hidekazu Takahashi, et al.. (2017). Plasma free amino acid profiles evaluate risk of metabolic syndrome, diabetes, dyslipidemia, and hypertension in a large Asian population. Environmental Health and Preventive Medicine. 22(1). 35–35. 61 indexed citations

13.

Mahbub, MH, Natsu Yamaguchi, Hidekazu Takahashi, et al.. (2017). Alteration in plasma free amino acid levels and its association with gout. Environmental Health and Preventive Medicine. 22(1). 7–7. 30 indexed citations

14.

Mahbub, MH, Natsu Yamaguchi, Hidekazu Takahashi, et al.. (2017). Association of plasma free amino acids with hyperuricemia in relation to diabetes mellitus, dyslipidemia, hypertension and metabolic syndrome. Scientific Reports. 7(1). 17616–17616. 17 indexed citations

15.

Yoshida, Hiroo, Akira Nakayama, Shinya Kikuchi, et al.. (2016). Determination of Amino Acids in Human Pancreas Tissue Sections Using Liquid Chromatography Tandem Mass Spectrometry. Chromatography. 37(3). 125–132. 3 indexed citations

16.

Fukutake, Nobuyasu, Makoto Ueno, Nobuyoshi Hiraoka, et al.. (2015). A Novel Multivariate Index for Pancreatic Cancer Detection Based On the Plasma Free Amino Acid Profile. PLoS ONE. 10(7). e0132223–e0132223. 85 indexed citations

17.

Kikuchi, Shinya, et al.. (2009). Performance analysis of retail store layout using agent-based simulation. 60(3). 128–144. 4 indexed citations

18.

Takahashi, Toshiaki, Shinya Kikuchi, Shinichi Katada, et al.. (2007). Soluble polyglutamine oligomers formed prior to inclusion body formation are cytotoxic. Human Molecular Genetics. 17(3). 345–356. 189 indexed citations

19.

Kikuchi, Shinya, et al.. (1998). Synthesis and Reactions of Some 3′,4′-Unsaturated 2′,3′-Secouridine Analogues. Nucleosides and Nucleotides. 17(8). 1365–1372.

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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