Koichiro Ikuta

900 citations
22 papers · 553 · h-index 10

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Koichiro Ikuta

19 papers receiving 539 citations

Peers

Koichiro Ikuta
Comparison fields: 5 of 50
  • Hematology 429
  • Genetics 88
  • Immunology 128
  • Public Health, Environmental and Occupational Health 139
  • Oncology 128
Replace H Espérou-Bourdeau with:
H Espérou-Bourdeau France
Phil Darbyshire United Kingdom
Abdullah Al‐Jefri Saudi Arabia
B M Camitta United States
Woo‐Sung Min South Korea
HM Lazarus United States
A. Gabbas Italy
Masashi Sawa Japan
S A Evensen Norway
ME Nesbit United States
Koichiro Ikuta relative to H Espérou-Bourdeau France H Espérou-Bourdeau's profile →
Citations per field
00.5×10×14.5×
H Espérou-Bourdeau · 1×
Citations per year

Countries citing papers authored by Koichiro Ikuta

Since Specialization
Citations

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

Fields of papers citing papers by Koichiro Ikuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002132
2 2002132
3 2011107
4 200245
5 200328
6 200623
7 199513
8 199610
9 199310
10 20009
11 20079
12 20078
13 20038
14 19968
15 19995
16 20003
17 20041
18 20041
19 20131
20 19990

About Koichiro Ikuta

Koichiro Ikuta is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Oncology and Immunology, having authored 22 papers that have together received 553 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Acute Lymphoblastic Leukemia research (7 papers), Erythropoietin and Anemia Treatment (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Immune Cell Function and Interaction (3 papers), Blood groups and transfusion (3 papers), Polyomavirus and related diseases (3 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). The work is most often cited by research in Hematology (429 citations), Genetics (88 citations), Immunology (128 citations), Public Health, Environmental and Occupational Health (139 citations) and Oncology (128 citations). Koichiro Ikuta has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masahiro Tsuchida, Seiji Kojima, Akira Ohara, Yuri Okimoto, Ryoji Hanada, Ichiro Tsukimoto, Takashi Kaneko, Atsushi Kikuta, Yoshihisa Kodera and Yasutaka Hoshi. Their work appears in journals such as International Journal of Hematology, Blood, Transplant International, Cancer and Pediatric Blood & Cancer.

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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