Tatsuhito Uno

951 total citations
8 papers, 798 citations indexed

About

Tatsuhito Uno is a scholar working on Molecular Biology, Surgery and Endocrine and Autonomic Systems. According to data from OpenAlex, Tatsuhito Uno has authored 8 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Surgery and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Tatsuhito Uno's work include Metabolism, Diabetes, and Cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Ubiquitin and proteasome pathways (2 papers). Tatsuhito Uno is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Ubiquitin and proteasome pathways (2 papers). Tatsuhito Uno collaborates with scholars based in Japan and United States. Tatsuhito Uno's co-authors include Tetsuro Haruta, Atsuko Takano, Masashi Kobayashi, Junko Kawahara, Isao Usui, Minoru Iwata, Katsuya Egawa, Jerrold M. Olefsky, Prem M. Sharma and Eiichi Ueno and has published in prestigious journals such as Molecular and Cellular Biology, Diabetes and Biochemical and Biophysical Research Communications.

In The Last Decade

Tatsuhito Uno

8 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuhito Uno Japan 8 591 214 144 117 114 8 798
László Bajnok Hungary 3 587 1.0× 241 1.1× 164 1.1× 134 1.1× 56 0.5× 14 844
Kazumi Ishimura‐Oka United States 10 361 0.6× 200 0.9× 158 1.1× 165 1.4× 116 1.0× 12 730
Kristina M. Kriauciunas United States 13 550 0.9× 483 2.3× 260 1.8× 164 1.4× 133 1.2× 17 983
Isabelle Lefrère France 8 371 0.6× 184 0.9× 134 0.9× 142 1.2× 49 0.4× 8 761
Françoise Lasnier France 14 437 0.7× 307 1.4× 362 2.5× 117 1.0× 136 1.2× 15 964
S.J. Heydrick United States 13 516 0.9× 229 1.1× 97 0.7× 125 1.1× 50 0.4× 15 701
KM Yao Hong Kong 10 671 1.1× 238 1.1× 174 1.2× 297 2.5× 97 0.9× 16 1.0k
Jan-Philipp Kruse United States 5 675 1.1× 274 1.3× 210 1.5× 217 1.9× 63 0.6× 5 1.1k
Marie-Bernard Debril France 5 507 0.9× 161 0.8× 81 0.6× 94 0.8× 66 0.6× 5 646
Nir Rubins Israel 10 709 1.2× 165 0.8× 136 0.9× 451 3.9× 239 2.1× 10 1.1k

Countries citing papers authored by Tatsuhito Uno

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuhito Uno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuhito Uno

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

All Works

8 of 8 papers shown
1.
Ueno, Eiichi, Tetsuro Haruta, Tatsuhito Uno, et al.. (2001). Potential Role of Gab1 and Phospholipase C-γ in Osmotic Shock-Induced Glucose Uptake in 3T3-L1 Adipocytes. Hormone and Metabolic Research. 33(7). 402–406. 7 indexed citations
3.
Takano, Atsuko, Isao Usui, Tetsuro Haruta, et al.. (2001). Mammalian Target of Rapamycin Pathway Regulates Insulin Signaling via Subcellular Redistribution of Insulin Receptor Substrate 1 and Integrates Nutritional Signals and Metabolic Signals of Insulin. Molecular and Cellular Biology. 21(15). 5050–5062. 210 indexed citations
4.
Takano, Atsuko, Tetsuro Haruta, Minoru Iwata, et al.. (2001). Growth Hormone Induces Cellular Insulin Resistance by Uncoupling Phosphatidylinositol 3-Kinase and Its Downstream Signals in 3T3-L1 Adipocytes. Diabetes. 50(8). 1891–1900. 81 indexed citations
5.
Usui, Isao, Tetsuro Haruta, Minoru Iwata, et al.. (2000). Retinoblastoma Protein Phosphorylation via PI 3-Kinase and mTOR Pathway Regulates Adipocyte Differentiation. Biochemical and Biophysical Research Communications. 275(1). 115–120. 23 indexed citations
6.
Haruta, Tetsuro, Tatsuhito Uno, Junko Kawahara, et al.. (2000). A Rapamycin-Sensitive Pathway Down-Regulates Insulin Signaling via Phosphorylation and Proteasomal Degradation of Insulin Receptor Substrate-1. Molecular Endocrinology. 14(6). 783–794. 352 indexed citations
7.
Usui, Isao, Tetsuro Haruta, Yasumitsu Takata, et al.. (1999). Differential Effects of Palmitate on Glucose Uptake in Rat-1 Fibroblasts and 3T3-L1 Adipocytes. Hormone and Metabolic Research. 31(10). 546–552. 9 indexed citations
8.
Ishihara, Hajime, Toshiyasu Sasaoka, Tsutomu Wada, et al.. (1998). Relative Involvement of Shc Tyrosine 239/240 and Tyrosine 317 on Insulin Induced Mitogenic Signaling in Rat1 Fibroblasts Expressing Insulin Receptors. Biochemical and Biophysical Research Communications. 252(1). 139–144. 19 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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