Tomohisa Okuma

1.3k total citations
45 papers, 982 citations indexed

About

Tomohisa Okuma is a scholar working on Pulmonary and Respiratory Medicine, Hepatology and Oncology. According to data from OpenAlex, Tomohisa Okuma has authored 45 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 10 papers in Hepatology and 7 papers in Oncology. Recurrent topics in Tomohisa Okuma's work include Medical Imaging and Pathology Studies (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Tomohisa Okuma is often cited by papers focused on Medical Imaging and Pathology Studies (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Tomohisa Okuma collaborates with scholars based in Japan. Tomohisa Okuma's co-authors include Toshiyuki Matsuoka, Akira Yamamoto, Yuichi Inoue, Yoshimasa Oyama, Kenji Nakamura, Masami Toyoshima, Shinichi Hamamoto, Masanori Akira, Toru Arai and Yukio Miki and has published in prestigious journals such as Radiology, Thorax and American Journal of Roentgenology.

In The Last Decade

Tomohisa Okuma

41 papers receiving 970 citations

Peers

Tomohisa Okuma
Tomohisa Okuma
Citations per year, relative to Tomohisa Okuma Tomohisa Okuma (= 1×) peers A. Soriani

Countries citing papers authored by Tomohisa Okuma

Since Specialization
Citations

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

Fields of papers citing papers by Tomohisa Okuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohisa Okuma

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohisa Okuma. A scholar is included among the top collaborators of Tomohisa Okuma 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 Tomohisa Okuma. Tomohisa Okuma 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.
Yamamoto, Akira, Takao Hiraki, Yoshitaka Tamura, et al.. (2024). Radiofrequency Ablation in Patients with Interstitial Lung Disease and Lung Neoplasm: A Retrospective Multicenter Study. Journal of Vascular and Interventional Radiology. 35(9). 1305–1312.
3.
Okuma, Tomohisa, et al.. (2021). Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results. Japanese Journal of Radiology. 39(10). 956–965. 12 indexed citations
4.
Hamamoto, Shinichi, et al.. (2020). Survival Benefit of Radiofrequency Ablation with Intratumoral Cisplatin Administration in a Rabbit VX2 Lung Tumor Model. CardioVascular and Interventional Radiology. 44(3). 475–481. 2 indexed citations
5.
Arai, Toru, Kazunobu Tachibana, Chikatoshi Sugimoto, et al.. (2017). High‐dose prednisolone after intravenous methylprednisolone improves prognosis of acute exacerbation in idiopathic interstitial pneumonias. Respirology. 22(7). 1363–1370. 33 indexed citations
6.
Shimizu, Shigeki, Yasunobu Funakoshi, Hyungeun Yoon, et al.. (2014). Small calcifying fibrous pseudotumor of the heart confined to the epicardium. Cardiovascular Pathology. 24(3). 191–193. 4 indexed citations
7.
Hamamoto, Shinichi, Toshiyuki Matsuoka, Tomohisa Okuma, et al.. (2014). Effective palliative radiofrequency ablation for tumors causing pain, numbness and motor function disorders: case series. BMC Research Notes. 7(1). 765–765. 4 indexed citations
8.
Arai, Toru, Yoshikazu Inoue, Yumiko Sasaki, et al.. (2013). Predictors of the clinical effects of pirfenidone on idiopathic pulmonary fibrosis. Respiratory Investigation. 52(2). 136–143. 37 indexed citations
9.
Nishie, Kenichi, Tomoya Kawaguchi, Akihiro Tamiya, et al.. (2012). Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors Beyond Progressive Disease: A Retrospective Analysis for Japanese Patients with Activating EGFR Mutations. Journal of Thoracic Oncology. 7(11). 1722–1727. 81 indexed citations
10.
Akira, Masanori, Yasushi Inoue, Toru Arai, Tomohisa Okuma, & Yasushi Kawata. (2010). Long-term follow-up high-resolution CT findings in non-specific interstitial pneumonia. Thorax. 66(1). 61–65. 58 indexed citations
11.
Okuma, Tomohisa, Toshiyuki Matsuoka, Akira Yamamoto, et al.. (2009). Determinants of Local Progression After Computed Tomography-Guided Percutaneous Radiofrequency Ablation for Unresectable Lung Tumors: 9-Year Experience in a Single Institution. CardioVascular and Interventional Radiology. 33(4). 787–793. 53 indexed citations
12.
Okuma, Tomohisa, Toshiyuki Matsuoka, Shinichi Hamamoto, Kenji Nakamura, & Yuichi Inoue. (2009). Percutaneous Computed Tomography–Guided Radiofrequency Ablation of Lung Tumors Complicated With Idiopathic Interstitial Pneumonia. The Annals of Thoracic Surgery. 87(3). 948–950. 14 indexed citations
13.
Okuma, Tomohisa, Toshiyuki Matsuoka, Yasuhiro Wada, et al.. (2008). FDG-MicroPET and Diffusion-Weighted MR Image Evaluation of Early Changes After Radiofrequency Ablation in Implanted VX2 Tumors in Rabbits. CardioVascular and Interventional Radiology. 32(1). 114–120. 15 indexed citations
14.
Okuma, Tomohisa, Toshiyuki Matsuoka, Akira Yamamoto, et al.. (2008). Computed tomography-guided re-radiofrequency ablation for unresectable lung tumor with local progression previously treated with the same procedure. Radiation Medicine. 26(9). 519–525. 3 indexed citations
15.
Matsuoka, Toshiyuki & Tomohisa Okuma. (2007). CT-guided radiofrequency ablation for lung cancer. International Journal of Clinical Oncology. 12(2). 71–78. 20 indexed citations
16.
Okuma, Tomohisa, Toshiyuki Matsuoka, Akira Yamamoto, et al.. (2007). Factors Contributing to Cavitation after CT-guided Percutaneous Radiofrequency Ablation for Lung Tumors. Journal of Vascular and Interventional Radiology. 18(3). 399–404. 27 indexed citations
17.
Koyama, Koichi, Terue Okamura, Yasuhiro Wada, et al.. (2007). Comparison of dynamic FDG-microPET study in a rabbit turpentine-induced inflammatory model and in a rabbit VX2 tumor model. Annals of Nuclear Medicine. 21(1). 47–55. 10 indexed citations
18.
Okuma, Tomohisa, et al.. (2007). Air Embolism during Needle Placement for CT-guided Radiofrequency Ablation of an Unresectable Metastatic Lung Lesion. Journal of Vascular and Interventional Radiology. 18(12). 1592–1594. 23 indexed citations
19.
Tabira, Y., Masahiro Yasunaga, Takuya Sakaguchi, et al.. (2002). Adult case of squamous cell carcinoma arising on congenital esophageal stenosis due to fibromuscular hypertrophy. Diseases of the Esophagus. 15(4). 336–339. 1 indexed citations
20.
Mori, Hajime, et al.. (1983). [Case of alpha-fetoprotein-producing lung cancer with right hemiplegia due to brain metastasis as a main symptom].. PubMed. 72(8). 1035–40. 1 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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