Yasuo Hamamori

6.1k citations
40 papers · 5.2k indexed · 1 hit paper · h-index 28
Topics
Protein Kinase Regulation and GTPase Signaling (7 papers)Developmental Biology and Gene Regulation (6 papers)Ubiquitin and proteasome pathways (5 papers)
Partner nations
United StatesJapanItaly

In The Last Decade

Yasuo Hamamori

39 papers receiving 5.1k citations

Hit Papers

HES and HERP families: Multiple effectors of the notch si...200320262010201820032505007501000

Peers

Yasuo Hamamori
Comparison fields: 5 of 101
  • Molecular Biology 4.3k
  • Oncology 878
  • Genetics 756
  • Cancer Research 545
  • Physiology 330
Replace Tom Kadesch with:
Tom Kadesch United States
Carola Ponzetto Italy
Ditsa Levanon Israel
M. Graziella Persico Italy
Sridaran Natesan United States
Nancy A. Jenkins United States
Masuko Katoh Japan
Lynne Hartley Australia
Frieder Schwenk Germany
Antonis K. Hatzopoulos United States
Yasuo Hamamori relative to Tom Kadesch United States Tom Kadesch's profile →
Citations per field
00.5×1.6×
Tom Kadesch · 1×
Citations per year

Countries citing papers authored by Yasuo Hamamori

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Hamamori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Hamamori

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Hamamori. A scholar is included among the top collaborators of Yasuo Hamamori 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 Yasuo Hamamori. Yasuo Hamamori 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
1 101
2 60
3 42
4 87
5 196
6 0
7
HES and HERP families: Multiple effectors of the notch signaling pathwaybreakdown →
1002
8 26
9 87
10 182
11 173
12 73
13 440
14 120
15 325
16 43
17 142
18 362
19 71
20 12

About Yasuo Hamamori

Yasuo Hamamori is a scholar working on Molecular Biology, Cancer Research and Immunology and Allergy, having authored 40 papers that have together received 5.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Developmental Biology and Gene Regulation (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Cancer Research (545 citations) and Oncology (878 citations). Yasuo Hamamori has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Larry Kedes, Tatsuya Iso, Vittorio Sartorelli, Yoshihiro Nakatani, Jean Y. J. Wang, Prem Puri, Vasily Ogryzko, Jing Huang, Hung‐Yi Wu and David Beach. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

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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