Takeshi Urano

11.7k citations
198 papers · 9.4k indexed · h-index 55
Topics
Glycosylation and Glycoproteins Research (37 papers)Genomics and Chromatin Dynamics (34 papers)Microtubule and mitosis dynamics (21 papers)

In The Last Decade

Takeshi Urano

190 papers receiving 9.3k citations

Peers

Takeshi Urano
Comparison fields: 5 of 123
  • Molecular Biology 7.7k
  • Cell Biology 2.4k
  • Oncology 1.5k
  • Plant Science 1.1k
  • Immunology 910
Replace Tomohiko Maehama with:
Tomohiko Maehama Japan
Jean Y. J. Wang United States
Toru Miki United States
David T. Weaver United States
James M. Roberts United States
Thomas Leung Singapore
Ivan Gout United Kingdom
Anke Klippel United States
Pierre Dubus France
Joanna Roberts New Zealand
Takeshi Urano relative to Tomohiko Maehama Japan Tomohiko Maehama's profile →
Citations per field
00.5×4.8×
Tomohiko Maehama · 1×
Citations per year

Countries citing papers authored by Takeshi Urano

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Urano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Urano

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Urano. A scholar is included among the top collaborators of Takeshi Urano 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 Takeshi Urano. Takeshi Urano 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
#WorkIndexed citations
1 0
2 3
3 1
4 4
5 9
6 1
7 1
8 6
9 13
10
Mechanisms for Cancer Metastasis in the Formation of Trimeric Tn Antigen Modified by pp-GalNAc-T13 Gene
1
11 132
12 226
13 90
14 25
15 233
16 101
17 48
18 38
19 60
20 41

About Takeshi Urano

Takeshi Urano is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy, having authored 198 papers that have together received 9.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (37 papers), Genomics and Chromatin Dynamics (34 papers) and Microtubule and mitosis dynamics (21 papers). The work is most often cited by research in Cell Biology (2.4k citations), Molecular Biology (7.7k citations) and Immunology and Allergy (375 citations). Takeshi Urano has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Koichi Furukawa, Larry A. Feig, Keiko Furukawa, Hiroshi Shiku, Sharon B. Cantor, Satoshi Fukumoto, Robin C. Allshire, Renee Emkey, Mahito Sadaie and Akio Yamaguchi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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