Akira Ono

4.7k total citations
183 papers, 2.9k citations indexed

About

Akira Ono is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Akira Ono has authored 183 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Pulmonary and Respiratory Medicine, 124 papers in Oncology and 34 papers in Epidemiology. Recurrent topics in Akira Ono's work include Lung Cancer Treatments and Mutations (114 papers), Lung Cancer Research Studies (75 papers) and Lung Cancer Diagnosis and Treatment (52 papers). Akira Ono is often cited by papers focused on Lung Cancer Treatments and Mutations (114 papers), Lung Cancer Research Studies (75 papers) and Lung Cancer Diagnosis and Treatment (52 papers). Akira Ono collaborates with scholars based in Japan, United States and United Kingdom. Akira Ono's co-authors include Toshiaki Takahashi, Haruyasu Murakami, Tateaki Naito, Hirotsugu Kenmotsu, Masahiro Endo, Nobuyuki Yamamoto, Kazushige Wakuda, Takehito Shukuya, Asuka Tsuya and Yukiko Nakamura and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Akira Ono

173 papers receiving 2.9k citations

Peers

Akira Ono
Akira Ono
Citations per year, relative to Akira Ono Akira Ono (= 1×) peers Hidehito Horinouchi

Countries citing papers authored by Akira Ono

Since Specialization
Citations

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

Fields of papers citing papers by Akira Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Ono

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Ono. A scholar is included among the top collaborators of Akira Ono 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 Akira Ono. Akira Ono 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.
Naito, Tateaki, Keita Miura, Nobuaki Mamesaya, et al.. (2025). Effect of Cancer Cachexia on the Efficacy and Treatment Delivery of Chemotherapy in Older Patients With Advanced Small Cell Lung Cancer. Thoracic Cancer. 16(12). e70104–e70104. 1 indexed citations
2.
Naito, Tateaki, Keita Miura, Yuko Iida, et al.. (2024). Exploring the relationship between anorexia and therapeutic efficacy in advanced lung cancer treatment: a retrospective study. Thoracic Cancer. 15(25). 1831–1841. 2 indexed citations
3.
Murakami, Haruyasu, Nobuaki Mamesaya, Shota Omori, et al.. (2024). Suitability of frozen cell pellets from cytology specimens for the Amoy 9‐in‐1 assay in patients with non‐small cell lung cancer. Thoracic Cancer. 15(21). 1665–1672. 1 indexed citations
4.
Murakami, Haruyasu, Keita Miura, Yuko Iida, et al.. (2023). Safety and efficacy of amrubicin with primary prophylactic pegfilgrastim as second‐line chemotherapy in patients with small cell lung cancer. Thoracic Cancer. 14(35). 3475–3482. 1 indexed citations
5.
Terada, Yukihiro, Mitsuhiro Isaka, Akira Ono, et al.. (2023). Prognostic significance of tumor microenvironment assessed by machine learning algorithm in surgically resected non‐small cell lung cancer. Cancer Reports. e1926–e1926.
6.
Terada, Yukihiro, Mitsuhiro Isaka, Takuya Kawata, et al.. (2022). The efficacy of a machine learning algorithm for assessing tumour components as a prognostic marker of surgically resected stage IA lung adenocarcinoma. Japanese Journal of Clinical Oncology. 53(2). 161–167. 2 indexed citations
7.
Kenmotsu, Hirotsugu, Chiyo K. Imamura, Takahisa Kawamura, et al.. (2022). Prospective evaluation of the relationship between response and exposure of total and unbound erlotinib in non-small cell lung cancer patients. Cancer Chemotherapy and Pharmacology. 90(2). 115–123. 3 indexed citations
8.
Nishioka, Naoya, Tateaki Naito, Taichi Miyawaki, et al.. (2022). Impact of losing adipose tissue on outcomes from PD‐1/PD‐L1 inhibitor monotherapy in non‐small cell lung cancer. Thoracic Cancer. 13(10). 1496–1504. 12 indexed citations
9.
Omori, Shota, Takanori Kawabata, Naoya Nishioka, et al.. (2022). Incidence and Treatment Outcome of Radiation Pneumonitis in Patients With Limited-stage Small Cell Lung Cancer Treated With Concurrent Accelerated Hyperfractionated Radiation Therapy and Chemotherapy. Advances in Radiation Oncology. 8(2). 101129–101129. 4 indexed citations
10.
Miyawaki, Taichi, Hirotsugu Kenmotsu, Naoya Nishioka, et al.. (2022). Clinical impact of tumour burden on the efficacy of PD‐1/PD‐L1 inhibitors plus chemotherapy in non‐small‐cell lung cancer. Cancer Medicine. 12(2). 1451–1460. 4 indexed citations
11.
Terada, Yukihiro, Akira Ono, Takuya Kawata, et al.. (2022). Artificial Intelligence–Powered Prediction of ALK Gene Rearrangement in Patients With Non–Small-Cell Lung Cancer. JCO Clinical Cancer Informatics. 6(6). e2200070–e2200070. 4 indexed citations
12.
Kenmotsu, Hirotsugu, Takanori Kawabata, Akifumi Notsu, et al.. (2021). Impact of angiogenesis inhibitor eligibility on the prognosis of patients with non‐small cell lung cancer harboring EGFR mutation. Cancer Medicine. 10(21). 7503–7513. 4 indexed citations
13.
Naito, Tateaki, Taro Okayama, Takeshi Ishii, et al.. (2021). Impact of Physical Inactivity on the Risk of Disability and Hospitalization in Older Patients with Advanced Lung Cancer. Journal of Multidisciplinary Healthcare. Volume 14. 1521–1532. 7 indexed citations
14.
Miyawaki, Taichi, Kazushige Wakuda, Hirotsugu Kenmotsu, et al.. (2020). Proposing synchronous oligometastatic non–small‐cell lung cancer based on progression after first‐line systemic therapy. Cancer Science. 112(1). 359–368. 8 indexed citations
15.
Ono, Akira, Haruyasu Murakami, Takashi Seto, et al.. (2020). Safety and Antitumor Activity of Repeated ASP3026 Administration in Japanese Patients with Solid Tumors: A Phase I Study. Drugs in R&D. 21(1). 65–78. 4 indexed citations
16.
Nishioka, Naoya, Tateaki Naito, Akifumi Notsu, et al.. (2020). Unfavorable impact of decreased muscle quality on the efficacy of immunotherapy for advanced non‐small cell lung cancer. Cancer Medicine. 10(1). 247–256. 30 indexed citations
17.
Nakashima, Kazuhisa, Tateaki Naito, Haruki Kobayashi, et al.. (2019). Platinum Combination Chemotherapy Is Poorly Tolerated in Malnourished Advanced Lung Cancer Patients with Poor Performance Status. Nutrition and Cancer. 71(5). 767–771. 7 indexed citations
18.
Ono, Akira, Mitsuhiro Isaka, Masakuni Serizawa, et al.. (2018). Genetic alterations of driver genes as independent prognostic factors for disease-free survival in patients with resected non-small cell lung cancer. Lung Cancer. 128. 152–157. 10 indexed citations
19.
Kobayashi, Haruki, Tateaki Naito, Katsuhiro Omae, et al.. (2018). ILD-NSCLC-GAP index scoring and staging system for patients with non-small cell lung cancer and interstitial lung disease. Lung Cancer. 121. 48–53. 13 indexed citations
20.
Watanabe, Masaru, Hirotsugu Kenmotsu, Ryo Ko, et al.. (2018). Isolation and molecular analysis of circulating tumor cells from lung cancer patients using a microfluidic chip type cell sorter. Cancer Science. 109(8). 2539–2548. 32 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026