J Okamura

1.9k citations
49 papers · 1.3k indexed · h-index 20

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hematopoietic Stem Cell Transplantation 9
    • Acute Myeloid Leukemia Research 8
    • Chronic Myeloid Leukemia Treatments 4
    • Hepatocellular Carcinoma Treatment and Prognosis 7

J Okamura

49 papers receiving 1.3k citations

Peers

J Okamura
Comparison fields: 5 of 75
  • Hematology 432
  • Hepatology 222
  • Immunology 403
  • Agronomy and Crop Science 179
  • Genetics 148
Replace Kate Cwynarski with:
Kate Cwynarski United Kingdom
Gerald E. Byrne United States
Kumi Oshima Japan
DM Knowles United States
F Sigaux France
M. Nesbit United States
David A. G. Galton United Kingdom
Bachir Alobeid United States
G. G. de Lange Netherlands
Peter von Wussow Germany
J Okamura relative to Kate Cwynarski United Kingdom Kate Cwynarski's profile →
Citations per field
00.5×12.3×
Kate Cwynarski · 1×
Citations per year

Countries citing papers authored by J Okamura

Since Specialization
Citations

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

Fields of papers citing papers by J Okamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 20166
3 201519
4 20111
5 201050
6 2008117
7 200726
8 20055
9 2005125
10 2005119
11 200420
12 20038
13 200314
14 200273
15 200159
16 20007
17 200021
18 200052
19 199821
20 19986

About J Okamura

J Okamura is a scholar working on Hematology, Hepatology, Public Health, Environmental and Occupational Health, Oncology and Immunology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (11 papers), Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Neuroblastoma Research and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Hematology (432 citations), Hepatology (222 citations), Immunology (403 citations), Agronomy and Crop Science (179 citations) and Genetics (148 citations). J Okamura has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masami Sakurai, Hajime Nakamura, C Kuroda, H. Yoshioka, Satoshi Hori, Teruji Tanaka, Yoshihisa Nagatoshi, Seiji Kojima, Shuro Yoshida and Eiichi Ishii. Their work appears in journals such as Bone Marrow Transplantation, Leukemia, Journal of Pediatric Surgery, The Journal of Laryngology & Otology 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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