Norihide Yokoi

3.3k total citations
81 papers, 2.4k citations indexed

About

Norihide Yokoi is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Norihide Yokoi has authored 81 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Surgery, 35 papers in Molecular Biology and 32 papers in Genetics. Recurrent topics in Norihide Yokoi's work include Pancreatic function and diabetes (42 papers), Diabetes and associated disorders (14 papers) and Diabetes Treatment and Management (9 papers). Norihide Yokoi is often cited by papers focused on Pancreatic function and diabetes (42 papers), Diabetes and associated disorders (14 papers) and Diabetes Treatment and Management (9 papers). Norihide Yokoi collaborates with scholars based in Japan, United States and United Kingdom. Norihide Yokoi's co-authors include Susumu Seino, Harumi Takahashi, Kohtaro Minami, Susumu Seino, Kazuhiro Kitada, Tadao Shibasaki, Kajuro Komeda, Tadao Serikawa, Hideki Yano and Toshihiko Iwanaga and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Norihide Yokoi

80 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norihide Yokoi Japan 26 1.2k 742 511 497 368 81 2.4k
Jocelyn E. Manning Fox Canada 30 1.4k 1.2× 1.1k 1.5× 1.0k 2.0× 678 1.4× 400 1.1× 56 3.1k
Irene Cózar‐Castellano Spain 25 1.0k 0.8× 1.0k 1.4× 588 1.2× 603 1.2× 419 1.1× 54 2.3k
Matthew P. Coghlan United Kingdom 20 1.7k 1.5× 733 1.0× 905 1.8× 187 0.4× 395 1.1× 33 2.7k
Jos M. J. Lamers Netherlands 37 2.2k 1.8× 495 0.7× 783 1.5× 402 0.8× 507 1.4× 138 4.7k
Wendy Baur United States 21 725 0.6× 313 0.4× 548 1.1× 461 0.9× 482 1.3× 31 2.0k
Tokio Sanke Japan 32 1.4k 1.1× 1.2k 1.6× 835 1.6× 663 1.3× 774 2.1× 98 3.1k
David A. Jacobson United States 31 1.2k 1.0× 1.1k 1.5× 606 1.2× 524 1.1× 294 0.8× 74 2.4k
C. Ronald Kahn United States 12 2.0k 1.7× 658 0.9× 541 1.1× 273 0.5× 585 1.6× 14 2.8k
Keith R. Stayrook United States 21 1.3k 1.1× 563 0.8× 198 0.4× 486 1.0× 326 0.9× 28 2.7k
Roberto A. Calle United States 26 1.3k 1.1× 694 0.9× 795 1.6× 267 0.5× 448 1.2× 72 2.3k

Countries citing papers authored by Norihide Yokoi

Since Specialization
Citations

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

Fields of papers citing papers by Norihide Yokoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norihide Yokoi

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

All Works

20 of 20 papers shown
1.
Seino, Yusuke, Kenju Shimomura, Yuko Maejima, et al.. (2025). Pyruvate kinase modulates the link between β‐cell fructose metabolism and insulin secretion. The FASEB Journal. 39(7). e70500–e70500. 2 indexed citations
2.
Seino, Yusuke, Takuya Haraguchi, Maoto Habara, et al.. (2025). Intestinal fructose metabolism triggers a glucagon‐like peptide‐1–β‐cell axis to prevent post‐fructose hyperglycaemia. The Journal of Physiology. 603(22). 6833–6858.
3.
Sugawara, Kenji, Harumi Takahashi, Norihide Yokoi, et al.. (2023). Stimulatory effect of imeglimin on incretin secretion. Journal of Diabetes Investigation. 14(6). 746–755. 11 indexed citations
4.
Yokoi, Norihide, Harumi Takahashi, Naoya Hatano, et al.. (2022). O-GlcNAcylation of myocyte-specific enhancer factor 2D negatively regulates insulin secretion from pancreatic β-cells. Biochemical and Biophysical Research Communications. 605. 90–96. 5 indexed citations
5.
Takahashi, Harumi, Norihide Yokoi, Yoshiyuki Hamamoto, et al.. (2021). Glutamate is an essential mediator in glutamine‐amplified insulin secretion. Journal of Diabetes Investigation. 12(6). 920–930. 24 indexed citations
6.
Shimomura, Kenju, Harumi Takahashi, Quan Zhang, et al.. (2020). Gs/Gq signaling switch in β cells defines incretin effectiveness in diabetes. Journal of Clinical Investigation. 130(12). 6639–6655. 65 indexed citations
7.
Carmean, Christopher M., Norihide Yokoi, Harumi Takahashi, et al.. (2018). Arsenic modifies serotonin metabolism through glucuronidation in pancreatic β-cells. American Journal of Physiology-Endocrinology and Metabolism. 316(3). E464–E474. 19 indexed citations
8.
Matsubara, Toshiya, Kohtaro Minami, Tetsuya Hosooka, et al.. (2012). PGRN is a Key Adipokine Mediating High Fat Diet-Induced Insulin Resistance and Obesity through IL-6 in Adipose Tissue. Cell Metabolism. 15(1). 38–50. 222 indexed citations
9.
Zhang, Changliang, M Katoh, Tadao Shibasaki, et al.. (2009). The cAMP Sensor Epac2 Is a Direct Target of Antidiabetic Sulfonylurea Drugs. Science. 325(5940). 607–610. 182 indexed citations
10.
Yokoi, Norihide. (2006). Models for type 1 diabetes. 55(3). 176. 1 indexed citations
11.
Masuyama, Taku, et al.. (2005). A novel autosomal‐recessive mutation, whitish chalk‐like teeth, resembling amelogenesis imperfecta, maps to rat chromosome 14 corresponding to human 4q21. European Journal Of Oral Sciences. 113(6). 451–456. 5 indexed citations
12.
Yokoi, Norihide, et al.. (2004). Effect of the Wind on Tear Film during Soft Contact Lens Wear. Investigative Ophthalmology & Visual Science. 45(13). 1559–1559. 1 indexed citations
13.
Yokoi, Norihide, et al.. (2003). Effect of Temperature and Humidity on Tear Film during Soft Contact Lens Wear. Investigative Ophthalmology & Visual Science. 44(13). 3695–3695. 1 indexed citations
14.
Yokoi, Norihide, et al.. (2003). Establishment and Characterization of the Komeda Diabetes-prone Rat as a Segregating Inbred Strain.. EXPERIMENTAL ANIMALS. 52(4). 295–301. 18 indexed citations
15.
Fujimoto, Kei, Tadao Shibasaki, Norihide Yokoi, et al.. (2002). Piccolo, a Ca2+ Sensor in Pancreatic β-Cells. Journal of Biological Chemistry. 277(52). 50497–50502. 163 indexed citations
17.
Mitsuhashi, Noboru, Takashi Miki, Norihide Yokoi, et al.. (2000). MTABC3, a Novel Mitochondrial ATP-binding Cassette Protein Involved in Iron Homeostasis. Journal of Biological Chemistry. 275(23). 17536–17540. 105 indexed citations
18.
Kuramoto, Takashi, Constantino Sotelo, Norihide Yokoi, et al.. (1996). A rat mutation producing demyelination (dmy) maps to chromosome 17. Mammalian Genome. 7(12). 890–894. 9 indexed citations
19.
Yokoi, Norihide, Kazuhiro Kitada, Takashi Kuramoto, et al.. (1996). Mapping of 20 polymorphic DNA markers in the rat by somatic hybrid and linkage analysis. Mammalian Genome. 7(1). 71–73. 10 indexed citations
20.
Yokoi, Norihide, et al.. (1994). Estimation of Variances and Covariances for Direct and Maternal Effects from Preweaning Growth Records in Japanese Black Cattle. Nihon Chikusan Gakkaiho. 65(11). 1057–1063. 2 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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