Hideki Kuriyama

643 total citations
7 papers, 554 citations indexed

About

Hideki Kuriyama is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, Hideki Kuriyama has authored 7 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrine and Autonomic Systems, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Nutrition and Dietetics. Recurrent topics in Hideki Kuriyama's work include Regulation of Appetite and Obesity (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Hideki Kuriyama is often cited by papers focused on Regulation of Appetite and Obesity (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Hideki Kuriyama collaborates with scholars based in Japan. Hideki Kuriyama's co-authors include Tamotsu Shibasaki, Ichiji Wakabayashi, Jun Kamegai, Asuka Otagiri, Yujin Shuto, Hisayuki Ohata, Hideki Tamura, Hitoshi Sugihara, Shinichi Oikawa and T. Shibasaki and has published in prestigious journals such as Journal of Clinical Investigation, Neuroscience and European Journal of Pharmacology.

In The Last Decade

Hideki Kuriyama

7 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hideki Kuriyama Japan	6	480	314	294	138	42	7	554
Asuka Otagiri Japan	7	471 1.0×	332 1.1×	291 1.0×	147 1.1×	51 1.2×	7	584
Takahiro Hayashida Japan	9	500 1.0×	340 1.1×	336 1.1×	79 0.6×	61 1.5×	11	640
Irhamadi Malik Pakistan	5	354 0.7×	264 0.8×	225 0.8×	85 0.6×	52 1.2×	8	483
Pamela A. Houston United Kingdom	9	433 0.9×	313 1.0×	279 0.9×	105 0.8×	72 1.7×	10	538
Masaki Harada Japan	4	624 1.3×	402 1.3×	374 1.3×	200 1.4×	78 1.9×	7	780
Tobias Inhoff Germany	9	378 0.8×	211 0.7×	243 0.8×	42 0.3×	53 1.3×	10	454
Dana I. Briggs Australia	6	516 1.1×	361 1.1×	329 1.1×	47 0.3×	85 2.0×	7	662
Frank H. Koegler United States	12	327 0.7×	121 0.4×	165 0.6×	52 0.4×	31 0.7×	16	454
Judith N. Gorski United States	6	292 0.6×	235 0.7×	110 0.4×	52 0.4×	54 1.3×	6	478
Pamela A. Bennett United Kingdom	10	431 0.9×	188 0.6×	211 0.7×	214 1.6×	124 3.0×	11	565

Countries citing papers authored by Hideki Kuriyama

Since Specialization

Citations

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

Fields of papers citing papers by Hideki Kuriyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Kuriyama

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

All Works

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7 of 7 papers shown

1.

Matsumoto, Megumi, Kyosuke Araki, Hideki Kuriyama, et al.. (2018). Adjuvant effect in aquaculture fish of cell-wall glycolipids isolated from acid-fast bacteria. Developmental & Comparative Immunology. 85. 142–149. 9 indexed citations

2.

Kuriyama, Hideki & T. Shibasaki. (2004). Sexual differentiation of the effects of emotional stress on food intake in rats. Neuroscience. 124(2). 459–465. 37 indexed citations

3.

Shuto, Yujin, Tamotsu Shibasaki, Asuka Otagiri, et al.. (2002). Hypothalamic growth hormone secretagogue receptor regulates growth hormone secretion, feeding, and adiposity. Journal of Clinical Investigation. 109(11). 1429–1436. 32 indexed citations

4.

Shuto, Yujin, Tamotsu Shibasaki, Asuka Otagiri, et al.. (2002). Hypothalamic growth hormone secretagogue receptor regulates growth hormone secretion, feeding, and adiposity. Journal of Clinical Investigation. 109(11). 1429–1436. 194 indexed citations

5.

Shuto, Yujin, Tamotsu Shibasaki, Asuka Otagiri, et al.. (2002). Hypothalamic growth hormone secretagogue receptor regulates growth hormone secretion, feeding, and adiposity. Journal of Clinical Investigation. 109(11). 1429–1436. 255 indexed citations

6.

Hotta, Mari, Hideki Kuriyama, Keiko Arai, Kazue Takano, & Tamotsu Shibasaki. (2001). Fibroblast growth factor inhibits locomotor activity as well as feeding behavior of rats. European Journal of Pharmacology. 416(1-2). 101–106. 4 indexed citations

7.

Kuriyama, Hideki, Mari Hotta, Ichiji Wakabayashi, & Tamotsu Shibasaki. (2000). A 6-day intracerebroventricular infusion of the growth hormone-releasing peptide KP-102 stimulates food intake in both non-stressed and intermittently-stressed rats. Neuroscience Letters. 282(1-2). 109–112. 23 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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