Hiroaki Kimura
- Nephrology top 0.5%
- Biotechnology top 1%
- Cancer Research and Treatments 35
- Immunology top 2%
- Oncology top 2%
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- Spine and Intervertebral Disc Pathology 14
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- Sarcoma Diagnosis and Treatment 35
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- Inflammasome and immune disorders 22
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- Nanoplatforms for cancer theranostics 19
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- Bone Tumor Diagnosis and Treatments 18
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- Virus-based gene therapy research 17
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- Spinal Fractures and Fixation Techniques 11
- Co-authors
- Masafumi TakahashiPatrizio CaturegliHitoshi EndouTadayoshi KarasawaMichio TakedaSeok HoTakashi SekineMakoto Hosoyamada
- Cited by
- NephrologyBiotechnologyImmunology
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Hiroaki Kimura
225 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Nephrology 1.2k
- Biotechnology 465
- Immunology 1.1k
- Oncology 1.3k
- Pathology and Forensic Medicine 850
Countries citing papers authored by Hiroaki Kimura
This map shows the geographic impact of Hiroaki Kimura'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 Hiroaki Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Kimura more than expected).
Fields of papers citing papers by Hiroaki Kimura
This network shows the impact of papers produced by Hiroaki Kimura. 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 Hiroaki Kimura. The network helps show where Hiroaki Kimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroaki Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 23 | |
| 10 | 2020 | 31 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 12 | |
| 14 | Synovial sarcoma in knee joint, mimicking low-grade sarcoma confirmed by molecular detection of SYT gene split. | 2014 | 5 |
| 15 | 2014 | 50 | |
| 16 | Complete necrosis of a giant cell tumor with high expression of PPARγ: a case report. | 2013 | 5 |
| 17 | Results from Field Verification Tests of Green Wave Advisory System | 2012 | 1 |
| 18 | The cyan fluorescent protein (CFP) transgenic mouse as a model for imaging pancreatic exocrine cells. | 2009 | 11 |
| 19 | 2007 | 0 | |
| 20 | Quantifying the syncytialisation of a human placental trophoblast cell line grown in vitro | 2002 | 1 |
About Hiroaki Kimura
Hiroaki Kimura is a scholar working on Biotechnology, Immunology, Rheumatology, Pulmonary and Respiratory Medicine and Oncology, having authored 244 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cancer Research and Treatments (35 papers), Sarcoma Diagnosis and Treatment (35 papers), Inflammasome and immune disorders (22 papers), Nanoplatforms for cancer theranostics (19 papers), Bone Tumor Diagnosis and Treatments (18 papers), Virus-based gene therapy research (17 papers), Spine and Intervertebral Disc Pathology (14 papers) and Spinal Fractures and Fixation Techniques (11 papers). The work is most often cited by research in Nephrology (1.2k citations), Biotechnology (465 citations), Immunology (1.1k citations), Oncology (1.3k citations) and Pathology and Forensic Medicine (850 citations). Hiroaki Kimura has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masafumi Takahashi, Patrizio Caturegli, Hitoshi Endou, Tadayoshi Karasawa, Michio Takeda, Seok Ho, Takashi Sekine, Makoto Hosoyamada, Kimiyoshi Ichida and Noel R. Rose. Their work appears in journals such as PLoS ONE, Journal of Cellular Biochemistry, Endocrinology, Anticancer Research and Biochemical and Biophysical Research Communications.
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.