Kazuhito Funai

2.1k total citations
127 papers, 1.4k citations indexed

About

Kazuhito Funai is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Kazuhito Funai has authored 127 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Pulmonary and Respiratory Medicine, 34 papers in Oncology and 33 papers in Surgery. Recurrent topics in Kazuhito Funai's work include Lung Cancer Diagnosis and Treatment (38 papers), Lung Cancer Treatments and Mutations (29 papers) and Medical Imaging and Pathology Studies (20 papers). Kazuhito Funai is often cited by papers focused on Lung Cancer Diagnosis and Treatment (38 papers), Lung Cancer Treatments and Mutations (29 papers) and Medical Imaging and Pathology Studies (20 papers). Kazuhito Funai collaborates with scholars based in Japan, United States and China. Kazuhito Funai's co-authors include Haruhiko Sugimura, Akikazu Kawase, Kazuya Shinmura, Takafumi Suda, Hiroshi Ogawa, Masayuki Tanahashi, Yusuke Inoue, Tomoaki Kahyo, Hiroshi Niwa and Naoki Inui and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Cancer Research.

In The Last Decade

Kazuhito Funai

112 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazuhito Funai Japan 22 673 528 515 251 154 127 1.4k
Akikazu Kawase Japan 19 593 0.9× 588 1.1× 419 0.8× 269 1.1× 147 1.0× 59 1.3k
Greta Alì Italy 24 591 0.9× 548 1.0× 461 0.9× 269 1.1× 124 0.8× 105 1.5k
Stephanie M. McGregor United States 18 374 0.6× 345 0.7× 490 1.0× 245 1.0× 81 0.5× 52 1.3k
Antonella Argentiero Italy 23 326 0.5× 794 1.5× 596 1.2× 427 1.7× 140 0.9× 48 1.6k
Laith Dabbagh Canada 15 194 0.3× 546 1.0× 549 1.1× 160 0.6× 111 0.7× 23 1.3k
Christopher J. Lafargue United States 16 825 1.2× 640 1.2× 947 1.8× 567 2.3× 142 0.9× 30 1.8k
Jennifer Landsberg Germany 23 264 0.4× 676 1.3× 595 1.2× 231 0.9× 123 0.8× 58 1.4k
G. Daniel Grass United States 19 348 0.5× 493 0.9× 611 1.2× 241 1.0× 299 1.9× 78 1.5k
Jeffrey Chun Tatt Lim Singapore 22 183 0.3× 680 1.3× 505 1.0× 326 1.3× 110 0.7× 52 1.5k
Trine Tramm Denmark 21 258 0.4× 540 1.0× 626 1.2× 687 2.7× 440 2.9× 78 1.9k

Countries citing papers authored by Kazuhito Funai

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhito Funai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhito Funai

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhito Funai. A scholar is included among the top collaborators of Kazuhito Funai 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 Kazuhito Funai. Kazuhito Funai 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
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Watanabe, Hirofumi, Yasuhiro Sakai, Keigo Sekihara, et al.. (2024). STIL Overexpression Is Associated with Chromosomal Numerical Abnormalities in Non-Small-Cell Lung Carcinoma Through Centrosome Amplification. Current Oncology. 31(12). 7936–7949.
3.
Sekihara, Keigo, et al.. (2024). Impact of smoking on resected lung cancer depends on epidermal growth factor receptor mutation. Interdisciplinary CardioVascular and Thoracic Surgery. 39(1). 1 indexed citations
4.
Kawase, Akikazu, Takuya Kitamoto, Minako Kondo, et al.. (2023). Lung adenocarcinoma and squamous cell carcinoma difficult for immunohistochemical diagnosis can be distinguished by lipid profile. Scientific Reports. 13(1). 12092–12092. 6 indexed citations
5.
Isaka, Mitsuhiro, Yukihiro Terada, Hayato Konno, et al.. (2023). Intraoperative rapid diagnosis of pleural lavage cytology in non-small cell lung cancer. General Thoracic and Cardiovascular Surgery. 72(2). 127–133. 1 indexed citations
6.
Kahyo, Tomoaki, Keigo Sekihara, Akikazu Kawase, et al.. (2023). Lipid biomarkers that reflect postoperative recurrence risk in lung cancer patients who smoke: a case–control study. Lipids in Health and Disease. 22(1). 15–15. 5 indexed citations
7.
Funai, Kazuhito, et al.. (2023). Improved complete portal 4-port robotic lobectomy for lung cancer: Hamamatsu Method KAI. Journal of Thoracic Disease. 15(3). 1482–1485. 1 indexed citations
8.
Tsuchiya, Kazuo, Yuji Iwashita, Yusuke Inoue, et al.. (2022). m6A demethylase ALKBH5 promotes tumor cell proliferation by destabilizing IGF2BPs target genes and worsens the prognosis of patients with non-small-cell lung cancer. Cancer Gene Therapy. 29(10). 1355–1372. 24 indexed citations
9.
Shiono, Satoshi, Noriyuki Matsutani, Hiroshi Hashimoto, et al.. (2021). Prospective study of recurrence at the surgical margin after wedge resection of pulmonary metastases. General Thoracic and Cardiovascular Surgery. 69(6). 950–959. 10 indexed citations
10.
Shinmura, Kazuya, Kimihide Kusafuka, Hideya Kawasaki, et al.. (2021). Identification and characterization of primary cilia‐positive salivary gland tumours exhibiting basaloid/myoepithelial differentiation. The Journal of Pathology. 254(5). 519–530. 10 indexed citations
11.
Kojima, Hideaki, et al.. (2020). [Trial of the New Pain Assessment after Thoracic Surgery].. PubMed. 73(6). 403–405.
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Shinmura, Kazuya, Yuichi Kawanishi, Hisaki Igarashi, et al.. (2017). WDR62 overexpression is associated with a poor prognosis in patients with lung adenocarcinoma. Molecular Carcinogenesis. 56(8). 1984–1991. 18 indexed citations
15.
Shinmura, Kazuya, Hisaki Igarashi, Kenji Koda, et al.. (2015). BSND and ATP6V1G3. Medicine. 94(24). e989–e989. 12 indexed citations
16.
Toyoshima, Mikio, et al.. (2015). Methotrexate-induced Accelerated Pulmonary Nodulosis. American Journal of Respiratory and Critical Care Medicine. 192(2). 252–253. 12 indexed citations
17.
Shinmura, Kazuya, Hisaki Igarashi, Yuichi Kawanishi, et al.. (2014). CLCA2 as a Novel Immunohistochemical Marker for Differential Diagnosis of Squamous Cell Carcinoma from Adenocarcinoma of the Lung. Disease Markers. 2014. 1–11. 24 indexed citations
18.
Yano, Motoki, et al.. (2013). Adverse Events of Stapling in Thoracic Surgery: Relations between an Incidence of Adverse Events and a Stapling Volume. Annals of Thoracic and Cardiovascular Surgery. 20(4). 320–324.
19.
Okamoto, Takuya, et al.. (2012). A case of descending necrotizing mediastinitis secondary to a neck abscess. The Journal of the Japanese Association for Chest Surgery. 26(5). 510–514. 3 indexed citations
20.
Shiono, Satoshi, Kanji Nagai, Mitsuyo Nishimura, et al.. (2003). Pleural Dissemination Predictors Based on Preoperative and Radiological Findings in Lung Cancer Patients. Haigan. 43(6). 687–690. 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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