Jun Urano

2.2k citations
27 papers · 1.6k · h-index 19

Impact in

Papers in

    • Fungal and yeast genetics research 7
    • Protein Kinase Regulation and GTPase Signaling 6
    • RNA Research and Splicing 4
    • Genomics and Chromatin Dynamics 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Ubiquitin and proteasome pathways 2

Jun Urano

25 papers receiving 1.6k citations

Peers

Jun Urano
Comparison fields: 5 of 102
  • Structural Biology 114
  • Radiation 176
  • Aging 35
  • Molecular Biology 1.1k
  • Cell Biology 169
Replace Waltraud G. Müller with:
Waltraud G. Müller United States
Daniele de Sanctis France
Akio Nakashima Japan
Markus Grabenbauer Germany
Kutti R. Vinothkumar United Kingdom
Patricia Grob United States
Shuji Akiyama Japan
Jacob Stewart-Ornstein United States
Hideaki Takata Japan
Amparo Andrés‐Pons Germany
Jun Urano relative to Waltraud G. Müller United States Waltraud G. Müller's profile →
Citations per field
00.5×1.6×
Waltraud G. Müller · 1×
Citations per year

Countries citing papers authored by Jun Urano

Since Specialization
Citations

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

Fields of papers citing papers by Jun Urano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Urano, 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 Jun Urano Line = papers co-authored together Jun Urano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010217
2 2003185
3 2007175
4 2007120
5 2000116
6 2000109
7 1998100
8 200579
9 200475
10 199573
11 199758
12 200156
13 199544
14 199937
15 200534
16 200034
17 199631
18
Advances in the development of farnesyltransferase inhibitors: substrate recognition by protein farnesyltransferase.
199721
19 200118
20 199713

About Jun Urano

Jun Urano is a scholar working on Molecular Biology, Cell Biology, Oncology, Plant Science and Genetics, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), RNA Research and Splicing (4 papers), HER2/EGFR in Cancer Research (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Structural Biology (114 citations), Radiation (176 citations), Aging (35 citations), Molecular Biology (1.1k citations) and Cell Biology (169 citations). Jun Urano has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Fuyuhiko Tamanoi, Renee A. Reijo Pera, Wenli Yang, Yoko Otsubo, Masayuki Yamamoto, Mark S. Fox, Nobutaka Suzuki, M. Fox, David M. Dorfman and Meri T. Firpo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular and Cellular Biology, Molecular Microbiology and Journal of Cellular Biochemistry.

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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