Tetsuro Izumi

7.0k total citations
87 papers, 5.8k citations indexed

About

Tetsuro Izumi is a scholar working on Cell Biology, Molecular Biology and Surgery. According to data from OpenAlex, Tetsuro Izumi has authored 87 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cell Biology, 45 papers in Molecular Biology and 37 papers in Surgery. Recurrent topics in Tetsuro Izumi's work include Cellular transport and secretion (43 papers), Pancreatic function and diabetes (35 papers) and Erythrocyte Function and Pathophysiology (15 papers). Tetsuro Izumi is often cited by papers focused on Cellular transport and secretion (43 papers), Pancreatic function and diabetes (35 papers) and Erythrocyte Function and Pathophysiology (15 papers). Tetsuro Izumi collaborates with scholars based in Japan, United States and United Kingdom. Tetsuro Izumi's co-authors include James L. Maller, Toshiyuki Takeuchi, Hiroshi Gomi, Seiji Torii, Shengli Zhao, Kazuo Kasai, Shin Mizutani, Jie Wang, D H Walker and Kuniaki Takata and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tetsuro Izumi

87 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuro Izumi Japan 41 3.3k 2.8k 1.7k 750 674 87 5.8k
Iris Lindberg United States 45 3.5k 1.0× 2.1k 0.7× 914 0.5× 748 1.0× 607 0.9× 166 6.5k
Yoshio Misumi Japan 44 3.5k 1.1× 1.6k 0.6× 465 0.3× 464 0.6× 512 0.8× 135 5.7k
Lloyd D. Fricker United States 56 5.5k 1.7× 1.9k 0.7× 765 0.5× 924 1.2× 717 1.1× 180 9.0k
John W.M. Creemers Belgium 42 2.3k 0.7× 1.5k 0.5× 1.0k 0.6× 889 1.2× 1.1k 1.6× 116 5.6k
Sandra Lacas‐Gervais France 32 2.7k 0.8× 1.2k 0.4× 680 0.4× 734 1.0× 488 0.7× 63 4.5k
Christophé Erneux Belgium 49 5.6k 1.7× 2.1k 0.7× 529 0.3× 669 0.9× 333 0.5× 234 7.4k
Alexander Gray United Kingdom 42 5.0k 1.5× 1.1k 0.4× 669 0.4× 797 1.1× 262 0.4× 81 6.9k
Peter Gierschik Germany 57 6.9k 2.1× 1.6k 0.6× 592 0.4× 923 1.2× 543 0.8× 173 9.7k
Takashi Matozaki Japan 47 5.9k 1.8× 1.3k 0.5× 1.1k 0.7× 1.3k 1.8× 490 0.7× 199 10.4k
Peter Lobel United States 49 3.7k 1.1× 2.9k 1.0× 565 0.3× 4.3k 5.7× 517 0.8× 102 7.6k

Countries citing papers authored by Tetsuro Izumi

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Izumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuro Izumi

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro Izumi. A scholar is included among the top collaborators of Tetsuro Izumi 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 Tetsuro Izumi. Tetsuro Izumi 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.
Izumi, Tetsuro. (2023). The GDF3-ALK7 signaling axis in adipose tissue: a possible therapeutic target for obesity and associated diabetes?. Endocrine Journal. 70(8). 761–770. 1 indexed citations
2.
Izumi, Tetsuro. (2023). Multiple pathways and independent functional pools in insulin granule exocytosis. Genes to Cells. 28(7). 471–481. 3 indexed citations
3.
Zhao, Miaomiao, Jing Lü, Sen Li, et al.. (2021). Berberine is an insulin secretagogue targeting the KCNH6 potassium channel. Nature Communications. 12(1). 5616–5616. 84 indexed citations
4.
Okunishi, Katsuhide, Hao Wang, Maho Suzukawa, et al.. (2020). Exophilin-5 regulates allergic airway inflammation by controlling IL-33–mediated Th2 responses. Journal of Clinical Investigation. 130(7). 3919–3935. 14 indexed citations
5.
Hameed, Abdul, Rahman M. Hafizur, Miaomiao Zhao, et al.. (2019). Coixol amplifies glucose-stimulated insulin secretion via cAMP mediated signaling pathway. European Journal of Pharmacology. 858. 172514–172514. 24 indexed citations
6.
Matsunaga, Kohichi, Hao Wang, Eri Kobayashi, et al.. (2017). Exophilin-8 assembles secretory granules for exocytosis in the actin cortex via interaction with RIM-BP2 and myosin-VIIa. eLife. 6. 16 indexed citations
7.
Xu, Xiaohong, Jennifer Coats, Cindy F. Yang, et al.. (2012). Modular Genetic Control of Sexually Dimorphic Behaviors. Cell. 148(5). 1066–1067. 3 indexed citations
8.
Izumi, Tetsuro. (2012). Adipose cell and lipid turnovers in obesity and insulin resistance. Diabetology International. 3(4). 184–186. 5 indexed citations
9.
Wang, Hao, et al.. (2011). Loss of Granuphilin and Loss of Syntaxin-1A Cause Differential Effects on Insulin Granule Docking and Fusion. Journal of Biological Chemistry. 286(37). 32244–32250. 23 indexed citations
10.
Chavas, Leonard M. G., Kentaro Ihara, Masato Kawasaki, et al.. (2008). Elucidation of Rab27 Recruitment by Its Effectors: Structure of Rab27a Bound to Exophilin4/Slp2-a. Structure. 16(10). 1468–1477. 47 indexed citations
11.
Izumi, Tetsuro, Kiyoto Kasai, & Hiroshi Gomi. (2007). Secretory vesicle docking to the plasma membrane: molecular mechanism and functional significance. Diabetes Obesity and Metabolism. 9(s2). 109–117. 29 indexed citations
12.
Kasai, Kazuo, Mica Ohara‐Imaizumi, Noriko Takahashi, et al.. (2005). Rab27a mediates the tight docking of insulin granules onto the plasma membrane during glucose stimulation. Journal of Clinical Investigation. 115(2). 388–396. 131 indexed citations
13.
Kasai, Kazuo, Mica Ohara‐Imaizumi, Noriko Takahashi, et al.. (2005). Rab27a mediates the tight docking of insulin granules onto the plasma membrane during glucose stimulation. Journal of Clinical Investigation. 115(2). 388–396. 141 indexed citations
14.
Gomi, Hiroshi, Shin Mizutani, Kazuo Kasai, Shigeyoshi Itohara, & Tetsuro Izumi. (2005). Granuphilin molecularly docks insulin granules to the fusion machinery. The Journal of Cell Biology. 171(1). 99–109. 133 indexed citations
16.
Kayo, Tsuyoshi, Yoshie Sawada, Masayuki Suda, et al.. (1997). Proprotein-Processing Endoprotease Furin Controls Growth of Pancreatic β-Cells. Diabetes. 46(8). 1296–1304. 30 indexed citations
17.
Izumi, Tetsuro & James L. Maller. (1995). Phosphorylation and activation of the Xenopus Cdc25 phosphatase in the absence of Cdc2 and Cdk2 kinase activity.. Molecular Biology of the Cell. 6(2). 215–226. 108 indexed citations
18.
Maller, James L., Linda Roy, & Tetsuro Izumi. (1991). Cell Cycle and Mitotic Control in Xenopus Eggs. Cold Spring Harbor Symposia on Quantitative Biology. 56(0). 533–538. 1 indexed citations
19.
Yamamoto, Ritsuko, Teruo Shiba, Kazuyuki Tobe, et al.. (1990). Defect in Tyrosine Kinase Activity of the Insulin Receptor from a Patient with Insulin Resistance and Acanthosis Nigricans*. The Journal of Clinical Endocrinology & Metabolism. 70(4). 869–878. 10 indexed citations
20.
Izumi, Tetsuro, Masato Kasuga, Takashi Kadowaki, et al.. (1986). Characteristics of Human Erythrocyte Insulin-Like Growth Factor I Receptors*. The Journal of Clinical Endocrinology & Metabolism. 62(6). 1206–1212. 16 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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