Hirokazu Ikeda

2.5k citations
70 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Mast cells and histamine (14 papers)Urinary Bladder and Prostate Research (10 papers)Cell Adhesion Molecules Research (10 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Hirokazu Ikeda

63 papers receiving 2.0k citations

Hit Papers

Identification of mutations in the coding sequence of the...19932026200420151993200400600

Peers

Hirokazu Ikeda
Comparison fields: 5 of 92
  • Immunology 1.1k
  • Molecular Biology 738
  • Hematology 609
  • Genetics 412
  • Immunology and Allergy 268
Replace Keiko Okuda with:
Keiko Okuda Japan
Karoline Sonneck Austria
Emir Hadzijusufovic Austria
K Kaushansky United States
Erika Darrah United States
Nathalie A. Lokker United States
Yutaka Kawakami Japan
Terri L. Towers United States
Marina Molino Italy
Kurt Grünewald Austria
Hirokazu Ikeda relative to Keiko Okuda Japan Keiko Okuda's profile →
Citations per field
00.5×2.6×
Keiko Okuda · 1×
Citations per year

Countries citing papers authored by Hirokazu Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Hirokazu Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirokazu Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Hirokazu Ikeda. A scholar is included among the top collaborators of Hirokazu Ikeda 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 Hirokazu Ikeda. Hirokazu Ikeda 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 0
3 1
4 1
5 1
6 1
7 2
8 0
9 1
10 1
11 16
12 5
13 8
14 24
15 19
16 31
17 14
18 9
19 11
20
Identification of mutations in the coding sequence of the proto-oncogene c-kit in a human mast cell leukemia cell line causing ligand-independent activation of c-kit product.breakdown →
677

About Hirokazu Ikeda

Hirokazu Ikeda is a scholar working on Urology, Immunology and Allergy and Hematology, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mast cells and histamine (14 papers), Urinary Bladder and Prostate Research (10 papers) and Cell Adhesion Molecules Research (10 papers). The work is most often cited by research in Hematology (609 citations), Immunology (1.1k citations) and Immunology and Allergy (268 citations). Hirokazu Ikeda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tohru Tsujimura, Hiroyuki Sugahara, T Furitsu, H Kitayama, Yoshio Kanayama, Yuzuru Kanakura, Leonie K. Ashman, Joseph H. Butterfield, U Koshimizu and T. Tono. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

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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