Yusuke Kamada

960 citations
23 papers · 634 indexed · h-index 15

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer
    • Peptidase Inhibition and Analysis

Papers in

    • RNA and protein synthesis mechanisms 3
    • Glycosylation and Glycoproteins Research 2
    • Biochemical and Molecular Research 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Cancer-related gene regulation 2

Yusuke Kamada

23 papers receiving 628 citations

Peers

Yusuke Kamada
Comparison fields: 5 of 82
  • Molecular Biology 497
  • Oncology 125
  • Cancer Research 52
  • Hematology 28
  • Organic Chemistry 59
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Citations per field
00.5×9.9×
James M. Wu · 1×
Citations per year

Countries citing papers authored by Yusuke Kamada

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Kamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20188
3 201838
4 201812
5 201766
6 201728
7 201721
8 20176
9 201711
10 201726
11 201714
12 20177
13 201788
14 201626
15 201620
16 201646
17 201434
18 201410
19 200653
20 19864

About Yusuke Kamada

Yusuke Kamada is a scholar working on Internal Medicine, Molecular Biology, Oncology, Hematology and Biochemistry, having authored 23 papers that have together received 634 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers), Biochemical and Molecular Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer-related gene regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Molecular Biology (497 citations), Oncology (125 citations), Cancer Research (52 citations), Hematology (28 citations) and Organic Chemistry (59 citations). Yusuke Kamada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kotaro Sakamoto, Satoshi Sogabe, Junichi Sakamoto, Akiyoshi Tani, Masanori Miwa, Masahiro Kamaura, Tomoya Sameshima, Ayumu Niida, Shigekazu Sasaki and Yasuhiro Imaeda. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Pharmacology and Drug Discoveries & Therapeutics.

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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