Atsuya Takeda
- Radiation top 0.05%
- Advanced Radiotherapy Techniques 64
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis 33
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Diagnosis and Treatment 51
- Lung Cancer Treatments and Mutations 17
- Otorhinolaryngology top 1%
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- Medical Imaging Techniques and Applications 17
- Radiomics and Machine Learning in Medical Imaging 12
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- Breast Cancer Treatment Studies 12
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- Cholangiocarcinoma and Gallbladder Cancer Studies 11
- Co-authors
- Etsuo KuniedaNaoko SanukiYohei OkuNaoyuki ShigematsuYousuke AokiTomoki KimuraKatsuyuki KarasawaToshio Ohashi
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Atsuya Takeda
133 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Radiation 2.7k
- Hepatology 1.2k
- Pulmonary and Respiratory Medicine 3.7k
- Otorhinolaryngology 407
- Radiology, Nuclear Medicine and Imaging 2.0k
Countries citing papers authored by Atsuya Takeda
This map shows the geographic impact of Atsuya Takeda'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 Atsuya Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuya Takeda more than expected).
Fields of papers citing papers by Atsuya Takeda
This network shows the impact of papers produced by Atsuya Takeda. 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 Atsuya Takeda. The network helps show where Atsuya Takeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsuya Takeda, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2021 | 26 | |
| 5 | 2017 | 14 | |
| 6 | 2014 | 13 | |
| 7 | 2013 | 6 | |
| 8 | 2013 | 183 | |
| 9 | 2012 | 42 | |
| 10 | 2008 | 11 | |
| 11 | 2008 | 47 | |
| 12 | 2007 | 2 | |
| 13 | 2007 | 47 | |
| 14 | 2005 | 36 | |
| 15 | 2004 | 4 | |
| 16 | 2002 | 4 | |
| 17 | 2002 | 71 | |
| 18 | 1999 | 2 | |
| 19 | 1996 | 101 | |
| 20 | Anticorpos especificos das classes igg, igm e iga para paracoccidioide brasiliensis dosados atraves da reacao de imunofluorescencia indirecta no soro de pacientes e sua correlacao com o tempo de evolucao e forma clinica da doenca | 1981 | 7 |
About Atsuya Takeda
Atsuya Takeda is a scholar working on Radiation, Hepatology and Otorhinolaryngology, having authored 140 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (64 papers), Lung Cancer Diagnosis and Treatment (51 papers), Hepatocellular Carcinoma Treatment and Prognosis (33 papers), Medical Imaging Techniques and Applications (17 papers), Lung Cancer Treatments and Mutations (17 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Breast Cancer Treatment Studies (12 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers). The work is most often cited by research in Radiation (2.7k citations), Hepatology (1.2k citations) and Pulmonary and Respiratory Medicine (3.7k citations). Atsuya Takeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Etsuo Kunieda, Naoko Sanuki, Yohei Oku, Naoyuki Shigematsu, Yousuke Aoki, Tomoki Kimura, Katsuyuki Karasawa, Toshio Ohashi, Hiroki Shirato and Hiroshi Onishi. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Hepatology.
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.