Taisuke Isono

1.6k citations
14 papers · 68 · h-index 4

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Treatments and Mutations
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Lung Cancer Diagnosis and Treatment

Papers in

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
    • Lung Cancer Treatments and Mutations 4
    • Lung Cancer Diagnosis and Treatment 2
    • Respiratory viral infections research 3
    • Pneumonia and Respiratory Infections 2

Taisuke Isono

11 papers receiving 68 citations

Peers

Taisuke Isono
Comparison fields: 5 of 25
  • Oncology 46
  • Pulmonary and Respiratory Medicine 42
  • Infectious Diseases 9
  • Family Practice 1
  • Modeling and Simulation 2
Replace Yasuhiko Suga with:
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María A. Gutiérrez-Stampa Spain
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Maximilian Lennartz Germany
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Dirk Schuermann Germany
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Taisuke Isono relative to Yasuhiko Suga Japan Yasuhiko Suga's profile →
Citations per field
00.5×1.5×
Yasuhiko Suga · 1×
Citations per year

Countries citing papers authored by Taisuke Isono

Since Specialization
Citations

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

Fields of papers citing papers by Taisuke Isono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Taisuke Isono, 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 Taisuke Isono Line = papers co-authored together Taisuke Isono links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202037
2 20218
3 20217
4 20204
5 20213
6 20202
7 20202
8 20182
9 20241
10 20201
11 20201
12 20230
13 20190
14 20210

About Taisuke Isono

Taisuke Isono is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases, Oncology and Dermatology, having authored 14 papers that have together received 68 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Lung Cancer Treatments and Mutations (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Respiratory viral infections research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Oncology (46 citations), Pulmonary and Respiratory Medicine (42 citations), Infectious Diseases (9 citations), Family Practice (1 citation) and Modeling and Simulation (2 citations). Taisuke Isono has collaborated with scholars based in Japan. Frequent co-authors include Chiaki Hosoda, Yoichi Kobayashi, Noboru Takayanagi, Takashi Ishiguro, Kenji Takano, Tsutomu Yanagisawa, Naho Kagiyama, Takashi Nishida, Kazuyoshi Kurashima and Yotaro Takaku. Their work appears in journals such as Internal Medicine, Thoracic Cancer, Kansenshogaku zasshi, Respiratory Investigation and Respiratory Medicine Case Reports.

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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