Takuma Uo

2.7k citations
34 papers · 1.4k · h-index 23

Impact in

Papers in

    • Polyamine Metabolism and Applications 5
    • Ubiquitin and proteasome pathways 4
    • Cell death mechanisms and regulation 4
    • Mitochondrial Function and Pathology 4
    • Amino Acid Enzymes and Metabolism 7

Takuma Uo

34 papers receiving 1.4k citations

Peers

Takuma Uo
Comparison fields: 5 of 88
  • Biochemistry 175
  • Clinical Biochemistry 93
  • Molecular Biology 946
  • Neurology 97
  • Developmental Neuroscience 40
Replace David A. Priestman with:
David A. Priestman United Kingdom
Yibo Wu China
Matilde S. Ayuso Spain
Dariusz Rakus Poland
Andy Neilson United States
Kristin E. Dittenhafer‐Reed United States
Grazia M. Cereghetti Switzerland
Nir Arbel Israel
Yohichi Mochizuki Japan
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Citations per field
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David A. Priestman · 1×
Citations per year

Countries citing papers authored by Takuma Uo

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Uo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takuma Uo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takuma Uo Line = papers co-authored together Takuma Uo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001222
2 2013102
3 200985
4 200759
5 202059
6 200157
7 200455
8 200955
9 200454
10 200253
11 200449
12 199847
13 201144
14 201436
15 201336
16 200635
17 201832
18 201429
19 201528
20 200926

About Takuma Uo

Takuma Uo is a scholar working on Molecular Biology, Biochemistry, Pulmonary and Respiratory Medicine, Spectroscopy and Materials Chemistry, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (7 papers), Prostate Cancer Treatment and Research (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Polyamine Metabolism and Applications (5 papers), Ubiquitin and proteasome pathways (4 papers), Cell death mechanisms and regulation (4 papers), Enzyme Structure and Function (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Biochemistry (175 citations), Clinical Biochemistry (93 citations), Molecular Biology (946 citations), Neurology (97 citations) and Developmental Neuroscience (40 citations). Takuma Uo has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Richard S. Morrison, Yoshito Kinoshita, Antonio Iavarone, Anna Lasorella, Timothy D. Veenstra, Tohru Yoshimura, Nobuyoshi Esaki, Stephen R. Plymate, Cynthia C.T. Sprenger and Thomas P. Conrads. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Archives of Microbiology, Oncogene and Molecular & Cellular Proteomics.

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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