Ken Arimura

2.2k total citations
32 papers, 194 citations indexed

About

Ken Arimura is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Oncology. According to data from OpenAlex, Ken Arimura has authored 32 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 6 papers in Infectious Diseases and 6 papers in Oncology. Recurrent topics in Ken Arimura's work include Lung Cancer Diagnosis and Treatment (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Ken Arimura is often cited by papers focused on Lung Cancer Diagnosis and Treatment (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Ken Arimura collaborates with scholars based in Japan and United States. Ken Arimura's co-authors include Etsuko Tagaya, Mitsuko Kondo, Jun Tamaoki, Kiyoshi Takeyama, Akitoshi Sato, Masato Kanzaki, Hideki Katsura, Kenzo Hiroshima, Yoji Nagashima and Yasuo Sekine and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Respiratory Journal and BMC Cancer.

In The Last Decade

Ken Arimura

31 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Arimura Japan 7 128 32 28 21 19 32 194
Harumichi Itoh Japan 9 96 0.8× 53 1.7× 27 1.0× 15 0.7× 20 1.1× 44 522
Y. Abe Japan 6 58 0.5× 27 0.8× 16 0.6× 20 1.0× 15 0.8× 12 364
Franco Fabio Stellari Italy 11 250 2.0× 23 0.7× 15 0.5× 33 1.6× 21 1.1× 31 346
Morrys C. Kaisermann United States 10 79 0.6× 15 0.5× 53 1.9× 31 1.5× 9 0.5× 13 144
Magali N. Taylor United Kingdom 7 92 0.7× 17 0.5× 11 0.4× 13 0.6× 3 0.2× 11 136
Sofía Molina United States 8 172 1.3× 22 0.7× 10 0.4× 13 0.6× 17 0.9× 12 231
Hans-Peter Hauber Germany 7 238 1.9× 78 2.4× 54 1.9× 46 2.2× 15 0.8× 8 310
Goffredo Serra Italy 7 149 1.2× 33 1.0× 6 0.2× 14 0.7× 44 2.3× 11 277
Steven J. Lichtenstein United States 10 177 1.4× 10 0.3× 6 0.2× 20 1.0× 23 1.2× 21 493

Countries citing papers authored by Ken Arimura

Since Specialization
Citations

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

Fields of papers citing papers by Ken Arimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Arimura

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Arimura. A scholar is included among the top collaborators of Ken Arimura 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 Ken Arimura. Ken Arimura 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.
Aoki, Yuko, Ken Arimura, Kenzo Hiroshima, et al.. (2025). CD276 as a critical independent biomarker and immune checkpoint inhibitor target in epithelioid mesothelioma-TCGA study. Journal of Thoracic Disease. 17(1). 109–120. 1 indexed citations
2.
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Arimura, Ken, Ken Kikuchi, Yasuto Sato, et al.. (2024). SARS-CoV-2 co-detection with other respiratory pathogens-descriptive epidemiological study. Respiratory Investigation. 62(5). 884–888. 3 indexed citations
4.
Arimura, Ken, Michael N. Kammer, Saifur Rahman, et al.. (2024). Elucidating the role of EPPK1 in lung adenocarcinoma development. BMC Cancer. 24(1). 441–441. 1 indexed citations
5.
Kondo, Mitsuko, Yasuto Sato, Fumi Kobayashi, et al.. (2024). Serum VEGF-A levels on admission in COVID-19 patients correlate with SP-D and neutrophils, reflecting disease severity: A prospective study. Cytokine. 178. 156583–156583. 4 indexed citations
6.
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Arimura, Ken, Kenzo Hiroshima, Yoji Nagashima, et al.. (2023). LAG3 is an independent prognostic biomarker and potential target for immune checkpoint inhibitors in malignant pleural mesothelioma: a retrospective study. BMC Cancer. 23(1). 1206–1206. 6 indexed citations
8.
Arimura, Ken, Etsuko Tagaya, Ken Kikuchi, et al.. (2022). The efficacy of neutralizing monoclonal antibodies in transplant recipients with mild-to-moderate COVID-19. Transplant Immunology. 77. 101777–101777. 1 indexed citations
9.
Kishi, Hajime, et al.. (2022). Effect of γ‐ray irradiation on epoxy network polymers with different curing agents. Polymers for Advanced Technologies. 33(10). 3740–3749. 3 indexed citations
10.
Omori, Teppei, Ken Arimura, Kazunori Karasawa, et al.. (2021). Granulocyte and monocyte apheresis therapy for patients with active ulcerative colitis associated with COVID-19: a case report. Intestinal Research. 20(1). 150–155. 3 indexed citations
11.
Arimura, Ken, Mitsuko Kondo, Yoji Nagashima, et al.. (2019). Comparison of tumor cell numbers and 22C3 PD-L1 expression between cryobiopsy and transbronchial biopsy with endobronchial ultrasonography-guide sheath for lung cancer. Respiratory Research. 20(1). 185–185. 22 indexed citations
12.
Arimura, Ken, Etsuko Tagaya, Hiroyuki Akagawa, et al.. (2018). Cryobiopsy with endobronchial ultrasonography using a guide sheath for peripheral pulmonary lesions and DNA analysis by next generation sequencing and rapid on-site evaluation. Respiratory Investigation. 57(2). 150–156. 37 indexed citations
13.
Naoki, Katsuhiko, Yuichiro Takeda, Kenzo Soejima, et al.. (2017). A prospective cohort study of patients with non-squamous non-small cell lung cancer treated with bevacizumab. Oncology Letters. 13(5). 3285–3290. 2 indexed citations
14.
Arimura, Ken, Yasuo Sekine, Kenzo Hiroshima, et al.. (2017). The efficacy of transbronchial needle aspiration with endobronchial ultrasonography using a guide sheath for peripheral pulmonary lesions suspected to be lung cancer. Respiratory Investigation. 55(6). 365–371. 13 indexed citations
15.
Tagaya, Etsuko, Akitoshi Sato, Ken Arimura, et al.. (2016). Effect of tiotropium on mucus hypersecretion and airway clearance in patients with COPD. Pulmonary Pharmacology & Therapeutics. 39. 81–84. 22 indexed citations
16.
Hasegawa, Mizue, Fumikazu Sakai, Ken Arimura, et al.. (2014). EGFR Mutation of Adenocarcinoma in Congenital Cystic Adenomatoid Malformation/Congenital Pulmonary Airway Malformation: A Case Report. Japanese Journal of Clinical Oncology. 44(3). 278–281. 19 indexed citations
17.
Hasegawa, Mizue, Fumikazu Sakai, Akitoshi Sato, et al.. (2014). FISH Analysis of Intrapulmonary Malignant Mesothelioma without a Clinically Detectable Primary Pleural Lesion: An Autopsy Case. Japanese Journal of Clinical Oncology. 44(12). 1239–1242. 4 indexed citations
18.
Matsuta, K., M. Sasaki, Shoji Kaminaka, et al.. (2001). Hyperfine Interactions of 8Li in Ferromagnetic Single Crystal Fe. Hyperfine Interactions. 136-137(3-8). 379–384. 5 indexed citations
19.
Matsuta, K., et al.. (2001). Lattice Locations of 8Li and 12N in Al. Hyperfine Interactions. 136-137(3-8). 503–507. 1 indexed citations
20.
Mihara, M., K. Hashimoto, Ken Arimura, et al.. (2001). Hyperfine Interactions of 12B in CaB6. Hyperfine Interactions. 136-137(3-8). 339–343. 3 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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