Jun Aoki

3.0k total citations
88 papers, 1.9k citations indexed

About

Jun Aoki is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Aoki has authored 88 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hematology, 20 papers in Public Health, Environmental and Occupational Health and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Aoki's work include Hematopoietic Stem Cell Transplantation (35 papers), Acute Myeloid Leukemia Research (31 papers) and Acute Lymphoblastic Leukemia research (20 papers). Jun Aoki is often cited by papers focused on Hematopoietic Stem Cell Transplantation (35 papers), Acute Myeloid Leukemia Research (31 papers) and Acute Lymphoblastic Leukemia research (20 papers). Jun Aoki collaborates with scholars based in Japan, United States and Norway. Jun Aoki's co-authors include Keigo Endo, Hideomi Watanabe, Tetsuya Shinozaki, Kenji Takagishi, Brian G. Thomas, Lifeng Zhang, Tomio Inoue, Yoshito Tsushima, Nariyuki Oya and Adel Refaat Ahmed and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jun Aoki

84 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Aoki Japan 25 561 413 361 340 293 88 1.9k
Tohru Hayashi Japan 20 188 0.3× 115 0.3× 94 0.3× 151 0.4× 133 0.5× 66 1.1k
Federico Bruno Italy 25 380 0.7× 320 0.8× 657 1.8× 46 0.1× 593 2.0× 119 1.9k
Dietmar Dinter Germany 25 493 0.9× 85 0.2× 658 1.8× 103 0.3× 741 2.5× 89 1.9k
Sabine Weckbach Germany 23 387 0.7× 483 1.2× 1.4k 3.9× 83 0.2× 519 1.8× 55 2.5k
Yoshio Matsuo Japan 33 462 0.8× 121 0.3× 1.4k 4.0× 32 0.1× 499 1.7× 126 3.3k
David A. Woodrum United States 34 965 1.7× 253 0.6× 630 1.7× 46 0.1× 622 2.1× 124 3.1k
Tristan Mirault France 24 1.1k 2.0× 493 1.2× 168 0.5× 346 1.0× 427 1.5× 121 2.4k
Jan Borggrefe Germany 35 976 1.7× 160 0.4× 1.6k 4.4× 37 0.1× 368 1.3× 192 3.6k
Sunil K. Srivastava United States 41 195 0.3× 245 0.6× 3.2k 9.0× 57 0.2× 171 0.6× 269 5.3k
Jim S. Wu United States 29 545 1.0× 526 1.3× 316 0.9× 22 0.1× 800 2.7× 124 2.7k

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-authorship network of co-authors of Jun Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Aoki. A scholar is included among the top collaborators of Jun Aoki 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 Jun Aoki. Jun Aoki 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
1.
Koga, Daisuke, Chikara Komiya, A. Takeuchi, et al.. (2025). Artificial intelligence identifies individuals with prediabetes using single-lead electrocardiograms. Cardiovascular Diabetology. 24(1). 415–415.
3.
Arai, Yasuyuki, Jun Aoki, Naoyuki Uchida, et al.. (2023). Poor outcome of allogeneic transplantation for therapy-related acute myeloid leukemia induced by prior chemoradiotherapy. Annals of Hematology. 102(10). 2879–2893. 1 indexed citations
5.
Kurosawa, Shuhei, Yoshimitsu Shimomura, Hidehiro Itonaga, et al.. (2021). Fludarabine/busulfan versus busulfan/cyclophosphamide as myeloablative conditioning for myelodysplastic syndrome: a propensity score-matched analysis. Bone Marrow Transplantation. 56(12). 3008–3015. 5 indexed citations
6.
Shimomura, Yoshimitsu, Masahiko Hara, Takaaki Konuma, et al.. (2021). Allogeneic hematopoietic stem cell transplantation for myelodysplastic syndrome in adolescent and young adult patients. Bone Marrow Transplantation. 56(10). 2510–2517. 9 indexed citations
7.
Shiratori, Souichi, Junichi Sugita, Shigeo Fuji, et al.. (2021). Low-dose antithymocyte globulin inhibits chronic graft-versus-host disease in peripheral blood stem cell transplantation from unrelated donors. Bone Marrow Transplantation. 56(9). 2231–2240. 5 indexed citations
8.
Kurosawa, Shuhei, Yoshimitsu Shimomura, Takayoshi Tachibana, et al.. (2020). Outcome of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic/Myeloproliferative Neoplasms-Unclassifiable: A Retrospective Nationwide Study of the Japan Society for Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 26(9). 1607–1611. 4 indexed citations
10.
Fujisawa, Shin, Taisei Suzuki, Jun Aoki, et al.. (2017). Clinical Impact of Sarcopenia and Skeletal Muscle Mass Change during Chemotherapy on Outcomes of Diffuse Large B-Cell Lymphoma. Blood. 130. 5221–5221. 1 indexed citations
11.
Kawamura, Koji, Shinichi Kako, Shuichi Mizuta, et al.. (2017). Comparison of Conditioning with Fludarabine/Busulfan and Fludarabine/Melphalan in Allogeneic Transplantation Recipients 50 Years or Older. Biology of Blood and Marrow Transplantation. 23(12). 2079–2087. 28 indexed citations
12.
Aoki, Jun, Ken Ishiyama, Shuichi Taniguchi, et al.. (2014). Outcome of Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia Patients with Central Nervous System Involvement. Biology of Blood and Marrow Transplantation. 20(12). 2029–2033. 30 indexed citations
13.
Aoki, Jun, Kiminori Kimura, Kazuhiko Kakihana, Kazuteru Ohashi, & Hisashi Sakamaki. (2014). Efficacy and tolerability of Entecavir for hepatitis B virus infection after hematopoietic stem cell transplantation. SpringerPlus. 3(1). 450–450. 7 indexed citations
14.
Zhang, Lifeng, Jun Aoki, & Brian G. Thomas. (2006). Inclusion removal by bubble flotation in a continuous casting mold. Metallurgical and Materials Transactions B. 37(3). 361–379. 170 indexed citations
16.
Aoki, Jun, Hideomi Watanabe, Tetsuya Shinozaki, et al.. (2001). FDG PET of Primary Benign and Malignant Bone Tumors: Standardized Uptake Value in 52 Lesions. Radiology. 219(3). 774–777. 228 indexed citations
17.
Ahmed, Adel Refaat, Hideomi Watanabe, Jun Aoki, Tetsuya Shinozaki, & Kenji Takagishi. (2001). Schwannoma of the extremities: the role of PET in preoperative planning. European Journal of Nuclear Medicine and Molecular Imaging. 28(10). 1541–1551. 83 indexed citations
18.
Watanabe, Hideomi, Tomio Inoue, Tetsuya Shinozaki, et al.. (2000). PET imaging of musculoskeletal tumours with fluorine-18 α-methyltyrosine: comparison with fluorine-18 fluorodeoxyglucose PET. European Journal of Nuclear Medicine and Molecular Imaging. 27(10). 1509–1517. 57 indexed citations
19.
Aoki, Jun, et al.. (1996). Hyaline cartilage: in vivo and in vitro assessment with magnetization transfer imaging.. Radiology. 201(2). 525–530. 60 indexed citations
20.
Aoki, Jun, Ikuo Yamamoto, Naoya Kitamura, et al.. (1987). End plate of the discovertebral joint: degenerative change in the elderly adult.. Radiology. 164(2). 411–414. 42 indexed citations

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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