Jun Amaki

439 citations
19 papers · 158 · h-index 7

Impact in

    • Viral-associated cancers and disorders
    • Cancer Immunotherapy and Biomarkers
    • Acute Myeloid Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 3
    • Hematopoietic Stem Cell Transplantation 2
    • Platelet Disorders and Treatments 2
    • Chronic Myeloid Leukemia Treatments 2

Jun Amaki

16 papers receiving 153 citations

Peers

Jun Amaki
Comparison fields: 5 of 42
  • Oncology 89
  • Hematology 36
  • Pathology and Forensic Medicine 54
  • Genetics 22
  • Immunology 29
Replace Jean-Pierre Marolleau with:
Jean-Pierre Marolleau France
Angela Gueli Italy
Kento Umino Japan
Mathieu Platteel Netherlands
Jehane Fadlallah France
Rebecca Frewin United Kingdom
James E. Radford United States
Simona Sammassimo Italy
Christina Howlett United States
Sergio Fava Italy
Jun Amaki relative to Jean-Pierre Marolleau France Jean-Pierre Marolleau's profile →
Citations per field
00.5×10×15×19×
Jean-Pierre Marolleau · 1×
Citations per year

Countries citing papers authored by Jun Amaki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Amaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201458
2 201730
3 201516
4 20179
5 20168
6 20127
7 20186
8 20135
9 20155
10 20164
11 20233
12 20192
13 20232
14 20181
15 20161
16 20161
17 20220
18 20200
19 20160

About Jun Amaki

Jun Amaki is a scholar working on Hematology, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 19 papers that have together received 158 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Retinoids in leukemia and cellular processes (2 papers), Platelet Disorders and Treatments (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (89 citations), Hematology (36 citations), Pathology and Forensic Medicine (54 citations), Genetics (22 citations) and Immunology (29 citations). Jun Amaki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kiyoshi Ando, Hiroshi Kawada, Yoshiaki Ogawa, Naoya Nakamura, Minoru Kojima, Ryujiro Hara, Shinichiro Machida, Ai Sato, Makoto Onizuka and Ken Ohmachi. Their work appears in journals such as International Journal of Hematology, Blood, Bone Marrow Transplantation, Acta Haematologica and Scientific Reports.

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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