Kenko Azuma

780 citations
13 papers · 644 indexed · 1 hit paper · h-index 5
Topics
Moyamoya disease diagnosis and treatment (2 papers)Acute Myeloid Leukemia Research (2 papers)Mesenchymal stem cell research (2 papers)
Partner nations
JapanCanadaMalaysia

In The Last Decade

Kenko Azuma

12 papers receiving 642 citations

Hit Papers

Exosomal miR-135b shed from hypoxic multiple myeloma cell...20142026201820222014100200300400500

Peers

Kenko Azuma
Comparison fields: 5 of 49
  • Molecular Biology 559
  • Cancer Research 429
  • Hematology 124
  • Immunology 64
  • Oncology 54
Replace Noah I. Hornick with:
Noah I. Hornick United States
Sylvia Faict Belgium
Miguel Lemaire Belgium
Pernille A. Usher Denmark
Sebastien Morisot United States
Pere Fábregas Spain
Elyssa Rubin United States
Garima Sinha United States
Shima Uneda Japan
Gabi Vohwinkel Germany
Kenko Azuma relative to Noah I. Hornick United States Noah I. Hornick's profile →
Citations per field
00.5×1.5×
Noah I. Hornick · 1×
Citations per year

Countries citing papers authored by Kenko Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Kenko Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenko Azuma

This figure shows the co-authorship network connecting the top 25 collaborators of Kenko Azuma. A scholar is included among the top collaborators of Kenko Azuma 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 Kenko Azuma. Kenko Azuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 3
3 3
4 4
5 1
6 1
7 2
8 4
9 0
10 10
11 75
12 32
13
Exosomal miR-135b shed from hypoxic multiple myeloma cells enhances angiogenesis by targeting factor-inhibiting HIF-1breakdown →
508

About Kenko Azuma

Kenko Azuma is a scholar working on Genetics, Hematology and Neurology, having authored 13 papers that have together received 644 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (2 papers), Acute Myeloid Leukemia Research (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Cancer Research (429 citations), Hematology (124 citations) and Molecular Biology (559 citations). Kenko Azuma has collaborated with scholars based in Japan, Canada and Malaysia. Frequent co-authors include Kazuma Ohyashiki, Tomohiro Umezu, Junko H. Ohyashiki, Seiichiro Yoshizawa, Hiroko Tadokoro, Chiaki Kobayashi, Satoshi Imanishi, Seiichiro Katagiri, Tetsuzo Tauchi and Yutaka Fukuoka. Their work appears in journals such as Blood, Scientific Reports and International Journal of Molecular 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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