Masashi Kondo

9.2k total citations · 1 hit paper
199 papers, 5.7k citations indexed

About

Masashi Kondo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Masashi Kondo has authored 199 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Pulmonary and Respiratory Medicine, 60 papers in Molecular Biology and 43 papers in Oncology. Recurrent topics in Masashi Kondo's work include Lung Cancer Treatments and Mutations (32 papers), Lung Cancer Diagnosis and Treatment (22 papers) and Asthma and respiratory diseases (17 papers). Masashi Kondo is often cited by papers focused on Lung Cancer Treatments and Mutations (32 papers), Lung Cancer Diagnosis and Treatment (22 papers) and Asthma and respiratory diseases (17 papers). Masashi Kondo collaborates with scholars based in Japan, United States and United Kingdom. Masashi Kondo's co-authors include Yoshinori Hasegawa, Yoshitaka Sekido, Kaoru Shimokata, Takashi Takahashi, Satoru Ito, Hiroaki Kume, John D. Minna, Adi F. Gazdar, Masahiro Sokabe and Mitsuo Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Masashi Kondo

188 papers receiving 5.6k citations

Hit Papers

Epigenetic Inactivation o... 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masashi Kondo Japan 41 3.0k 1.4k 1.1k 693 686 199 5.7k
Akihisa Takahashi Japan 45 3.1k 1.0× 1.5k 1.1× 1.2k 1.1× 1.1k 1.6× 868 1.3× 391 7.2k
Peter A.E. Sillevis Smitt Netherlands 46 2.0k 0.6× 869 0.6× 791 0.7× 395 0.6× 843 1.2× 129 7.2k
Søren Jensby Nielsen Denmark 35 5.6k 1.8× 1.6k 1.1× 803 0.8× 541 0.8× 823 1.2× 62 6.9k
Johannes Haybaeck Austria 46 2.9k 0.9× 735 0.5× 1.1k 1.0× 441 0.6× 1.3k 1.9× 256 6.9k
Balázs Hegedűs Hungary 38 1.7k 0.5× 909 0.7× 992 0.9× 358 0.5× 480 0.7× 154 4.6k
Albert H. Kim United States 44 2.6k 0.8× 825 0.6× 821 0.8× 309 0.4× 729 1.1× 152 6.3k
Yanru Wang China 43 4.0k 1.3× 704 0.5× 1.4k 1.3× 496 0.7× 1.2k 1.7× 226 6.7k
Paul D. Lewis United Kingdom 43 3.0k 1.0× 931 0.7× 1.0k 0.9× 336 0.5× 648 0.9× 178 7.0k
Alvin T. Kho United States 34 2.6k 0.9× 795 0.6× 384 0.4× 583 0.8× 644 0.9× 84 4.6k
Darrell J. Yamashiro United States 42 3.4k 1.1× 563 0.4× 942 0.9× 340 0.5× 908 1.3× 128 5.6k

Countries citing papers authored by Masashi Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Kondo. A scholar is included among the top collaborators of Masashi Kondo 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 Masashi Kondo. Masashi Kondo 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
3.
Oya, Yuko, Takaya Sato, Yasuhiro Gotô, et al.. (2024). It might be a dead end: immune checkpoint inhibitor therapy in EGFR-mutated NSCLC. SHILAP Revista de lepidopterología. 5(4). 826–840.
4.
Sasaki, Yusuke, et al.. (2024). Oral food challenge test results of patients with food allergy with specific IgE levels >100 UA/ml. Biomedical Reports. 21(6). 178–178. 1 indexed citations
5.
Ebina, Teppei, Rieko Setsuie, Yoshito Masamizu, et al.. (2024). Dynamics of directional motor tuning in the primate premotor and primary motor cortices during sensorimotor learning. Nature Communications. 15(1). 7127–7127. 1 indexed citations
6.
Koseki, Takenao, Takuma Ishihara, Takao Tobe, et al.. (2023). Influence of Brain Metastasis on Analgesia-Related Outcomes in Patients with Lung and Breast Cancers Treated with Naldemedine: A Propensity Score-Matched Analysis. Journal of Clinical Medicine. 12(22). 6997–6997. 2 indexed citations
7.
Teramoto, Atsushi, et al.. (2022). Prognosis Prediction of Lung Cancer Patients Using CT Images: Feature Extraction by Convolutional Neural Network and Prediction by Machine Learning. Japanese Journal of Radiological Technology. 78(8). 829–837. 1 indexed citations
8.
Tanaka, Junko, Takenao Koseki, Masashi Kondo, Yasuki Ito, & Shigeki Yamada. (2022). Analyses of Ocular Adverse Reactions Associated With Anticancer Drugs Based on the Japanese Pharmacovigilance Database. Anticancer Research. 42(9). 4439–4451. 9 indexed citations
9.
10.
Ito, Kentaro, Masahiro Morise, Kazushige Wakuda, et al.. (2021). A multicenter cohort study of osimertinib compared with afatinib as first-line treatment for EGFR-mutated non-small-cell lung cancer from practical dataset: CJLSG1903. ESMO Open. 6(3). 100115–100115. 33 indexed citations
11.
Aramaki, Kenji, et al.. (2019). Hydrogelation with a water-insoluble organogelator – surfactant mediated gelation (SMG). Soft Matter. 15(43). 8896–8904. 13 indexed citations
12.
Hayashi, Masamichi, Naoki Yamamoto, Noriko Hiramatsu, et al.. (2018). A basic study on self-reconstitution of alveolar epithelium-like cells by tissue stem cells in mouse lung. In Vitro Cellular & Developmental Biology - Animal. 54(9). 648–657. 3 indexed citations
13.
Isogai, Sumito, Naoki Yamamoto, Noriko Hiramatsu, et al.. (2018). Preparation of Induced Pluripotent Stem Cells Using Human Peripheral Blood Monocytes. Cellular Reprogramming. 20(6). 347–355. 17 indexed citations
14.
Morise, Masahiro, Yasushi Ito, Satoru Ito, et al.. (2012). Nongenomic Effects of Fluticasone Propionate and Budesonide on Human Airway Anion Secretion. American Journal of Respiratory Cell and Molecular Biology. 47(5). 645–651. 2 indexed citations
15.
Aso, H., et al.. (2012). Differential Regulation of Airway Smooth Muscle Cell Migration by E-Prostanoid Receptor Subtypes. American Journal of Respiratory Cell and Molecular Biology. 48(3). 322–329. 32 indexed citations
16.
Morise, Masahiro, Yasushi Ito, Satoru Ito, et al.. (2011). Capsaicinoids Regulate Airway Anion Transporters through Rho Kinase– and Cyclic AMP–Dependent Mechanisms. American Journal of Respiratory Cell and Molecular Biology. 45(4). 684–691. 6 indexed citations
17.
Oguma, T., Satoru Ito, Masashi Kondo, et al.. (2007). Roles of P2X receptors and Ca2+sensitization in extracellular adenosine triphosphate‐induced hyperresponsiveness in airway smooth muscle. Clinical & Experimental Allergy. 37(6). 893–900. 36 indexed citations
18.
Kondo, Masashi, Hirotaka Osada, Kosaku Uchida, et al.. (1998). Molecular cloning of human TAK1 and its mutational analysis in human lung cancer. International Journal of Cancer. 75(4). 559–563. 23 indexed citations
19.
Uchida, Kosaku, Masashi Kondo, Shin Takeda, et al.. (1997). Altered transcriptional regulation of the insulin-like growth factor 2 gene in human hepatocellular carcinoma. Molecular Carcinogenesis. 18(4). 193–198. 46 indexed citations
20.
Fukui, Michiaki, Koji Nakano, Hiroshi Obayashi, et al.. (1997). High prevalence of mitochondrial diabetes mellitus in Japanese patients with major risk factors. Metabolism. 46(7). 793–795. 13 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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