Atsushi Nambu

1.1k total citations
42 papers, 830 citations indexed

About

Atsushi Nambu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Atsushi Nambu has authored 42 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Surgery. Recurrent topics in Atsushi Nambu's work include Lung Cancer Diagnosis and Treatment (18 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Atsushi Nambu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (18 papers), Medical Imaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Atsushi Nambu collaborates with scholars based in Japan, United States and South Korea. Atsushi Nambu's co-authors include Tsutomu Araki, Hiroshi Onishi, Yoko Satoh, Akitoshi Saito, David A. Lynch, Tomoaki Ichikawa, Song Soo Kim, Joyce Schroeder, Russell P. Bowler and Jordan Zach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Atsushi Nambu

40 papers receiving 806 citations

Peers

Atsushi Nambu
Fred Verzijlbergen Netherlands
Beth A. Harkness United States
Seok Chol Jeon South Korea
V. Latrabe France
Yasuhiko Kawakami Japan
S Morimoto Japan
TaeBong Chung Canada
Yuya Onodera Japan
Soichi Akata Japan
Paul Burrowes Canada
Fred Verzijlbergen Netherlands
Atsushi Nambu
Citations per year, relative to Atsushi Nambu Atsushi Nambu (= 1×) peers Fred Verzijlbergen

Countries citing papers authored by Atsushi Nambu

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Nambu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Nambu

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Nambu. A scholar is included among the top collaborators of Atsushi Nambu 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 Atsushi Nambu. Atsushi Nambu 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.
Yamashita, Hiroshi, Atsushi Nambu, Tadashi Kohyama, et al.. (2023). Cardiac angiosarcoma with metastatic to lung, brain, and bone. SHILAP Revista de lepidopterología. 19(1). 473–478. 2 indexed citations
2.
3.
Nambu, Atsushi, Jordan Zach, Joyce Schroeder, et al.. (2015). Relationships between diffusing capacity for carbon monoxide (DLCO), and quantitative computed tomography measurements and visual assessment for chronic obstructive pulmonary disease. European Journal of Radiology. 84(5). 980–985. 44 indexed citations
4.
5.
Satoh, Yoko, Atsushi Nambu, Tomoaki Ichikawa, & Hiroshi Onishi. (2014). Whole-body total lesion glycolysis measured on fluorodeoxyglucose positron emission tomography/computed tomography as a prognostic variable in metastatic breast cancer. BMC Cancer. 14(1). 525–525. 24 indexed citations
6.
Satoh, Yoko, Hiroshi Onishi, Atsushi Nambu, & Tsutomu Araki. (2013). Volume-based Parameters Measured by Using FDG PET/CT in Patients with Stage I NSCLC Treated with Stereotactic Body Radiation Therapy: Prognostic Value. Radiology. 270(1). 275–281. 81 indexed citations
7.
Sudo, Noriko, Atsushi Nambu, Masashi Kawamoto, et al.. (2013). Pulmonary focal fibrosis associated with microscopic arterio-venous fistula manifesting as focal ground-glass opacity on thin-section CT. BMC Pulmonary Medicine. 13(1). 3–3. 2 indexed citations
8.
Nambu, Atsushi, Satoshi Kato, Masashi Kawamoto, et al.. (2012). Well differentiated fetal adenocarcinoma of the lung in a 38-year-old woman: dynamic computed tomography findings. Japanese Journal of Radiology. 31(2). 143–147. 7 indexed citations
9.
Nambu, Atsushi, Hiroshi Ōnishi, Shinichi Aoki, et al.. (2011). Rib fracture after stereotactic radiotherapy on follow-up thin-section computed tomography in 177 primary lung cancer patients. Radiation Oncology. 6(1). 137–137. 24 indexed citations
10.
Onishi, Hirokazu, Kengo Kuriyama, Atsushi Nambu, et al.. (2010). Rib Fracture after Stereotactic Body Radiotherapy for 177 Patients with Stage I Non-small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 78(3). S497–S498. 10 indexed citations
11.
Nambu, Atsushi, Utaroh Motosugi, Tsutomu Araki, et al.. (2010). Localized mucinous bronchioloalveolar carcinoma of the lung: thin-section computed tomography and fluorodeoxyglucose positron emission tomography findings. Japanese Journal of Radiology. 28(4). 251–258. 26 indexed citations
12.
Nambu, Atsushi, Satoshi Kato, Yoko Sato, et al.. (2009). Relationship between maximum standardized uptake value (SUVmax) of lung cancer and lymph node metastasis on FDG-PET. Annals of Nuclear Medicine. 23(3). 269–275. 34 indexed citations
13.
Nambu, Atsushi, Satoshi Kato, Tsutomu Araki, & Akitoshi Saito. (2009). Appearances of pulmonary focal lesions at 0.5-mm slice thickness computed tomography: comparison with 1-mm slice thickness computed tomography. Clinical Imaging. 33(1). 11–14. 2 indexed citations
14.
Nambu, Atsushi, Satoshi Kato, Akitoshi Saito, & Tsutomu Araki. (2007). Appearances of mediastinal and pulmonary hilar lymph nodes on thin-section CT: comparison with 5 mm slice thickness CT. Clinical Imaging. 31(6). 375–378. 5 indexed citations
15.
Nambu, Atsushi, et al.. (2006). Intradiploic epidermoid cyst with focal internal enhancement. Radiation Medicine. 24(3). 224–227. 3 indexed citations
16.
Nambu, Atsushi, et al.. (2002). Air-Containing Space in Lung Adenocarcinoma: High-Resolution Computed Tomography Findings. Journal of Computer Assisted Tomography. 26(6). 1026–1031. 8 indexed citations
17.
Yoshikawa, T., Shigeki Aoki, Masaaki Hori, et al.. (2000). Time-resolved two-dimensional thick-slice magnetic resonance digital subtraction angiography in assessing brain tumors. European Radiology. 10(5). 736–744. 27 indexed citations
18.
Arbab, Ali S., K Koizumi, Atsushi Nambu, et al.. (2000). Various imaging modalities for the detection of salivary gland lesions: The advantages of 201Tl SPET. Nuclear Medicine Communications. 21(3). 277–284. 8 indexed citations
19.
Aoki, Shigeki, T. Yoshikawa, Masaaki Hori, et al.. (2000). Two-dimensional thick-slice MR digital subtraction angiography for assessment of cerebrovascular occlusive diseases. European Radiology. 10(12). 1858–1864. 31 indexed citations
20.
Nambu, Atsushi, et al.. (1998). Lung involvement in angiotropic lymphoma: CT findings.. American Journal of Roentgenology. 170(4). 940–942. 5 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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