Tomio Nakayama

4.3k total citations
134 papers, 3.0k citations indexed

About

Tomio Nakayama is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Tomio Nakayama has authored 134 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Pulmonary and Respiratory Medicine, 54 papers in Oncology and 30 papers in Epidemiology. Recurrent topics in Tomio Nakayama's work include Lung Cancer Diagnosis and Treatment (44 papers), Global Cancer Incidence and Screening (30 papers) and Lung Cancer Treatments and Mutations (26 papers). Tomio Nakayama is often cited by papers focused on Lung Cancer Diagnosis and Treatment (44 papers), Global Cancer Incidence and Screening (30 papers) and Lung Cancer Treatments and Mutations (26 papers). Tomio Nakayama collaborates with scholars based in Japan, United States and United Kingdom. Tomio Nakayama's co-authors include Yuri Ito, Hideaki Tsukuma, Akiko Ioka, Masahiko Higashiyama, Ken Kodama, Isao Miyashiro, Fumio Imamura, Takaichiro Suzuki, Yasuhiro Toyoda and Tomotaka Sobue and has published in prestigious journals such as Cancer Research, Scientific Reports and British Journal of Cancer.

In The Last Decade

Tomio Nakayama

123 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomio Nakayama Japan 32 1.4k 1.0k 522 428 348 134 3.0k
Patrick Arveux France 34 1.5k 1.1× 1.5k 1.4× 584 1.1× 311 0.7× 1.3k 3.8× 148 4.3k
Helen Guo Canada 26 1.6k 1.1× 1.2k 1.2× 471 0.9× 884 2.1× 517 1.5× 59 4.1k
Andrea Luciani Italy 26 767 0.6× 981 1.0× 218 0.4× 242 0.6× 355 1.0× 105 2.7k
Giorgia Randi Italy 18 885 0.6× 1.3k 1.2× 256 0.5× 249 0.6× 590 1.7× 46 3.5k
Kangmin Zhu United States 32 1.1k 0.8× 1.9k 1.9× 439 0.8× 208 0.5× 695 2.0× 151 4.0k
Jihyoun Jeon United States 30 1.7k 1.3× 1.3k 1.3× 161 0.3× 427 1.0× 414 1.2× 97 3.5k
R Semenciw Canada 29 475 0.3× 715 0.7× 345 0.7× 268 0.6× 265 0.8× 69 2.6k
Juan Miguel Barros-Dios Spain 26 568 0.4× 478 0.5× 487 0.9× 883 2.1× 190 0.5× 101 2.5k
Chun‐Ju Chiang Taiwan 23 515 0.4× 905 0.9× 570 1.1× 117 0.3× 391 1.1× 103 2.4k
Tomomi Marugame United States 24 720 0.5× 984 1.0× 324 0.6× 103 0.2× 426 1.2× 45 2.3k

Countries citing papers authored by Tomio Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Tomio Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomio Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Tomio Nakayama. A scholar is included among the top collaborators of Tomio Nakayama 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 Tomio Nakayama. Tomio Nakayama 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.
Takahashi, Noriaki, Mutsuhiro Nakao, Tomio Nakayama, & Tsutomu Yamazaki. (2025). Breast Cancer Screening Participation and Internet Search Activity in a Japanese Population: Decade-Long Time-Series Study. JMIR Cancer. 11. e64020–e64020. 1 indexed citations
2.
Terasawa, Teruhiko, Koichiro Abe, Satoyo Hosono, et al.. (2025). Single-round performance of colorectal cancer screening programs: a network meta-analysis of randomized clinical trials. BMC Medicine. 23(1). 110–110. 1 indexed citations
3.
Takahashi, Hirokazu, et al.. (2024). Cancer screening in Japan 2 years after the COVID-19 pandemic: Changes in participation, 2017–2021. Preventive Medicine Reports. 39. 102649–102649. 4 indexed citations
4.
Lam, David, Chong Kin Liam, Sita Andarini, et al.. (2023). Lung Cancer Screening in Asia: An Expert Consensus Report. Journal of Thoracic Oncology. 18(10). 1303–1322. 62 indexed citations
5.
Morisada, Tohru, Kumiko Saika, Etsuko Miyagi, et al.. (2021). The first-round results of a population-based cohort study of HPV testing in Japanese cervical cancer screening: baseline characteristics, screening results, and referral rate. Journal of Gynecologic Oncology. 32(3). e29–e29. 5 indexed citations
6.
Yoshida, Naohisa, Yasunari Mano, Takahisa Matsuda, et al.. (2021). Complications of colonoscopy in Japan: An analysis using large‐scale health insurance claims data. Journal of Gastroenterology and Hepatology. 36(10). 2745–2753. 3 indexed citations
7.
Yagi, Asami, Yutaka Ueda, Mamoru Kakuda, et al.. (2019). Epidemiologic and Clinical Analysis of Cervical Cancer Using Data from the Population-Based Osaka Cancer Registry. Cancer Research. 79(6). 1252–1259. 81 indexed citations
8.
Toyoda, Yasuhiro, Takahiro Tabuchi, Kayo Nakata, et al.. (2018). Increase in incidental detection of thyroid cancer in Osaka, Japan. Cancer Science. 109(7). 2310–2314. 10 indexed citations
9.
Toyoda, Yasuhiro, et al.. (2016). Past Trends and Future Estimation of Annual Breast Cancer Incidence in Osaka, Japan.. PubMed. 17(6). 2847–52. 16 indexed citations
10.
Hama, Hitomi, Takahiro Tabuchi, Yuri Ito, et al.. (2016). [Smoking behavior and participation in screening for lung, gastric, and colorectal cancers].. PubMed. 63(3). 126–34. 5 indexed citations
11.
Kodama, Ken, Masahiko Higashiyama, Jiro Okami, et al.. (2015). Oncologic Outcomes of Segmentectomy Versus Lobectomy for Clinical T1a N0 M0 Non-Small Cell Lung Cancer. The Annals of Thoracic Surgery. 101(2). 504–511. 104 indexed citations
13.
Nakayama, Tomio, Tomotaka Sobue, Chiaki Endo, et al.. (2013). Revision of the Criteria for Interpreting Chest X-ray Findings in Mass Screening for Lung Cancer (2): Categories B, C and D. Haigan. 53(4). 314–317.
14.
Nagumo, Sachiko, Tatsuki R. Kataoka, Akemi Takenaka, et al.. (2007). Intraoperative imprint cytology for the detection of sentinel lymph node metastases in breast cancer. The Journal of the Japanese Society of Clinical Cytology. 46(4). 203–210.
15.
Nakayama, Tomio. (2007). A New Direction for Quality Control in Lung Cancer Mass Screening in Japan. Haigan. 47(6). 757–759. 1 indexed citations
16.
Nakayama, Tomio, Takaichiro Suzuki, Akemi Takenaka, et al.. (2006). The Meaning of Diagnostic Cytopathology for Peripheral Lung Lesions. Haigan. 46(1). 75–78. 1 indexed citations
17.
Nakayama, Tomio & Takaichiro Suzuki. (2006). The Evaluation of the Effectiveness of Low Dose Helical Computed Tomography Screening. Haigan. 46(7). 871–876. 6 indexed citations
18.
Nakayama, Tomio, Yoko Kusunoki, & Takaichiro Suzuki. (2005). Quality Control in Lung Cancer Screening in Japan. Haigan. 45(2). 183–187. 4 indexed citations
19.
Sagawa, Motoyasu, Tomio Nakayama, Hiroko Tsukada, et al.. (2001). Efficacy of Lung Cancer Screening: Results of 4 Case-Control Studies Recently Conducted.. Haigan. 41(6). 637–642. 2 indexed citations
20.
Higashiyama, Masahiko, et al.. (2000). Clinical value of pleural lavage cytological positivity in lung cancer patients without intraoperative malignant pleuritis. The Japanese Journal of Thoracic and Cardiovascular Surgery. 48(10). 611–617. 8 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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