Ken Arimura

2.2k citations
33 papers · 213 · h-index 8

Impact in

Papers in

Ken Arimura

31 papers receiving 212 citations

Peers

Ken Arimura
Comparison fields: 5 of 49
  • Pulmonary and Respiratory Medicine 109
  • Endocrine and Autonomic Systems 7
  • Physiology 22
  • Immunology 17
  • Surgery 27
Replace Migle Sumkauskaite with:
Migle Sumkauskaite Germany
Naofumi Kameyama Japan
James Eaden United Kingdom
Tajana Turk Croatia
Harumichi Itoh Japan
Elizabeth E. Carretta United States
Janice Cook‐Granroth United States
Paul David Harris United States
Dinesh Bagmane United Kingdom
Lars H. Nordenmark Sweden
Ken Arimura relative to Migle Sumkauskaite Germany Migle Sumkauskaite's profile →
Citations per field
00.5×3.4×
Migle Sumkauskaite · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ken Arimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Arimura Line = papers co-authored together Ken Arimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 201924
3 201623
4 201419
5 202115
6 201713
7 20019
8 20238
9 20245
10 20195
11 20015
12 20224
13 20224
14 20144
15 20214
16 20244
17 20173
18 20213
19 20013
20 20242

About Ken Arimura

Ken Arimura is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery, Condensed Matter Physics and Oncology, having authored 33 papers that have together received 213 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Infection Control and Ventilation (2 papers), Crystallography and Radiation Phenomena (2 papers), Nuclear physics research studies (2 papers), Advanced NMR Techniques and Applications (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Occupational and environmental lung diseases (2 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (109 citations), Endocrine and Autonomic Systems (7 citations), Physiology (22 citations), Immunology (17 citations) and Surgery (27 citations). Ken Arimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Mitsuko Kondo, Etsuko Tagaya, Jun Tamaoki, Kiyoshi Takeyama, Akitoshi Sato, Yoji Nagashima, Masato Kanzaki, Kenzo Hiroshima, Hideki Katsura and Mizue Hasegawa. Their work appears in journals such as Japanese Journal of Clinical Oncology, BMC Cancer, Respiratory Research, BMC Pulmonary Medicine and European Respiratory Journal.

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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