Jun Aoki

3.0k citations
89 papers · 2.1k · h-index 26

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Bone Tumor Diagnosis and Treatments

Papers in

Jun Aoki

86 papers receiving 2.0k citations

Peers

Jun Aoki
Comparison fields: 5 of 117
  • Hematology 340
  • Rheumatology 392
  • Pulmonary and Respiratory Medicine 511
  • Neurology 229
  • Radiology, Nuclear Medicine and Imaging 275
Replace Norikazu Yamada with:
Norikazu Yamada Japan
Patric Kröpil Germany
Adel M. Malek United States
Ellen‐Margrethe Hauge Denmark
Toshihiro Ishibashi Japan
Gertraud Heinz‐Peer Austria
Jochen Herrmann Germany
Marianna Vlychou Greece
Federico Bruno Italy
Christos Georgiades United States
Jun Aoki relative to Norikazu Yamada Japan Norikazu Yamada's profile →
Citations per field
00.5×5.9×
Norikazu Yamada · 1×
Citations per year

Countries citing papers authored by Jun Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001249
2 2006179
3 2002110
4 200184
5
Normal cranial nerves in the cavernous sinuses: contrast-enhanced three-dimensional constructive interference in the steady state MR imaging.
200572
6 200172
7 200270
8 199966
9 200364
10 199664
11 200060
12 200056
13 199955
14 198750
15 200247
16 201743
17 201542
18 201639
19 201438
20 200338

About Jun Aoki

Jun Aoki is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Oncology and Rheumatology, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (34 papers), Acute Myeloid Leukemia Research (31 papers), Acute Lymphoblastic Leukemia research (20 papers), Sarcoma Diagnosis and Treatment (7 papers), Bone Tumor Diagnosis and Treatments (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Medical Imaging Techniques and Applications (4 papers) and Medical Imaging and Pathology Studies (4 papers). The work is most often cited by research in Hematology (340 citations), Rheumatology (392 citations), Pulmonary and Respiratory Medicine (511 citations), Neurology (229 citations) and Radiology, Nuclear Medicine and Imaging (275 citations). Jun Aoki has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Keigo Endo, Hideomi Watanabe, Tetsuya Shinozaki, Kenji Takagishi, Brian G. Thomas, Lifeng Zhang, Yoshito Tsushima, Tomio Inoue, Nariyuki Oya and K Endo. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Blood, Radiology and Annals of Hematology.

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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