Kosuke Fujino

979 total citations
43 papers, 627 citations indexed

About

Kosuke Fujino is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Kosuke Fujino has authored 43 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 13 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Kosuke Fujino's work include Lung Cancer Diagnosis and Treatment (18 papers), Lung Cancer Research Studies (10 papers) and Lung Cancer Treatments and Mutations (7 papers). Kosuke Fujino is often cited by papers focused on Lung Cancer Diagnosis and Treatment (18 papers), Lung Cancer Research Studies (10 papers) and Lung Cancer Treatments and Mutations (7 papers). Kosuke Fujino collaborates with scholars based in Japan, Canada and Egypt. Kosuke Fujino's co-authors include Takaaki Ito, Shinji Kudoh, Wael Abdo Hassan, Hideki Ujiie, Kazuhiro Yasufuku, Yamato Motooka, Makoto Suzuki, Tatsuya Kato, Takaya Ichimura and Naoko Udaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and CHEST Journal.

In The Last Decade

Kosuke Fujino

42 papers receiving 623 citations

Peers

Kosuke Fujino
Lars Stelter Germany
Sirish Kishore United States
Ari J. Rosenberg United States
Shan M. Chin United States
Kimberly A. Varker United States
Kosuke Fujino
Citations per year, relative to Kosuke Fujino Kosuke Fujino (= 1×) peers Christiane Geyer

Countries citing papers authored by Kosuke Fujino

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Fujino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosuke Fujino

This figure shows the co-authorship network connecting the top 25 collaborators of Kosuke Fujino. A scholar is included among the top collaborators of Kosuke Fujino 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 Kosuke Fujino. Kosuke Fujino 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.
Watanabe, Takuya, Tadashi Sakane, Kosuke Fujino, et al.. (2025). Bronchopleural fistula: a multi-institutional analysis of the treatment outcomes and prognostic factors in the ESSG-01 study. European Journal of Cardio-Thoracic Surgery. 67(6). 1 indexed citations
2.
Okabayashi, Hiroko, Kosuke Fujino, Shohei Hamada, et al.. (2024). Tension Pneumomediastinum in Anti-MDA5 Antibody-positive Dermatomyositis-associated Interstitial Lung Disease: A Case Report and Literature Review. Internal Medicine. 63(23). 3221–3226. 1 indexed citations
3.
Saruwatari, Koichi, Kosuke Fujino, Takayuki Jodai, et al.. (2024). Negative impact of ratio of the microvascular area to tumor area on the response to EGFR-TKI in non-small cell lung cancer with an EGFR mutation. Journal of Thoracic Disease. 16(2). 1151–1160.
4.
Akaike, Kimitaka, Koichi Saruwatari, Kosuke Fujino, et al.. (2022). Clinical impact of SUVmax of interstitial lesions in lung cancer patients with interstitial lung disease who underwent pulmonary resection. Journal of Thoracic Disease. 14(10). 3801–3810. 2 indexed citations
5.
Matsuura, Kumi, Shinji Kudoh, Shingo Usuki, et al.. (2020). Distinct transcriptional programs of SOX2 in different types of small cell lung cancers. Laboratory Investigation. 100(12). 1575–1588. 12 indexed citations
6.
Lee, Chang Young, Kosuke Fujino, Yamato Motooka, et al.. (2020). Photoacoustic imaging to localize indeterminate pulmonary nodules: A preclinical study. PLoS ONE. 15(4). e0231488–e0231488. 12 indexed citations
7.
Fujino, Kosuke, et al.. (2019). EP1.12-03 The Significance of INSM1 Expression in Small Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S1017–S1017. 1 indexed citations
8.
Gregor, Alexander, Kosuke Fujino, Nicholas Bernards, et al.. (2019). Rabbit VX2 lung tumor models can form early nodal metastases. World Journal of Surgical Oncology. 17(1). 231–231. 2 indexed citations
9.
Hu, Hsin‐pei, Harley Chan, Hideki Ujiie, et al.. (2019). Nanoparticle-based CT visualization of pulmonary vasculature for minimally-invasive thoracic surgery planning. PLoS ONE. 14(1). e0209501–e0209501. 5 indexed citations
10.
Fujino, Kosuke, Hideki Ujiie, Tomonari Kinoshita, et al.. (2019). First Evaluation of the Next-Generation Endobronchial Ultrasound System in Preclinical Models. The Annals of Thoracic Surgery. 107(5). 1464–1471. 6 indexed citations
11.
Nomori, Hiroaki, Takeshi Mori, Atsushi Shiraishi, et al.. (2018). Long-Term Prognosis After Segmentectomy for cT1 N0 M0 Non-Small Cell Lung Cancer. The Annals of Thoracic Surgery. 107(5). 1500–1506. 28 indexed citations
12.
Ujiie, Hideki, Alexander Gregor, Tomonari Kinoshita, et al.. (2018). MA23.10 Cone-Beam Computed Tomography-Guided Microcoil Localization of Pulmonary Nodules During Video-Assisted Thoracic Surgery. Journal of Thoracic Oncology. 13(10). S441–S441. 1 indexed citations
13.
Ujiie, Hideki, Lili Ding, Rong Fan, et al.. (2018). Porphyrin–High-Density Lipoprotein: A Novel Photosensitizing Nanoparticle for Lung Cancer Therapy. The Annals of Thoracic Surgery. 107(2). 369–377. 22 indexed citations
14.
Ujiie, Hideki, Tatsuya Kato, Daiyoon Lee, et al.. (2017). Overexpression of MAGEA2 has a prognostic significance and is a potential therapeutic target for patients with lung cancer. International Journal of Oncology. 50(6). 2154–2170. 9 indexed citations
15.
Ujiie, Hideki, Tatsuya Kato, Hsin‐pei Hu, et al.. (2017). A novel minimally invasive near-infrared thoracoscopic localization technique of small pulmonary nodules: A phase I feasibility trial. Journal of Thoracic and Cardiovascular Surgery. 154(2). 702–711. 55 indexed citations
16.
Motooka, Yamato, et al.. (2017). Pathobiology of Notch2 in lung cancer. Pathology. 49(5). 486–493. 20 indexed citations
17.
Hassan, Wael Abdo, Shin‐ichiro Takebayashi, Mohamed O. Abdalla, et al.. (2017). Correlation between histone acetylation and expression of Notch1 in human lung carcinoma and its possible role in combined small-cell lung carcinoma. Laboratory Investigation. 97(8). 913–921. 22 indexed citations
18.
Ujiie, Hideki, Tatsuya Kato, Hsin‐pei Hu, et al.. (2017). Development of a novel ex vivo porcine laparoscopic Heller myotomy and Nissen fundoplication training model (Toronto lap-Nissen simulator). Journal of Thoracic Disease. 9(6). 1517–1524. 5 indexed citations
20.
Ujiie, Hideki, Tatsuya Kato, Hsin‐pei Hu, et al.. (2016). Evaluation of a New Ultrasound Thoracoscope for Localization of Lung Nodules in Ex Vivo Human Lungs. The Annals of Thoracic Surgery. 103(3). 926–934. 12 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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