Hideharu Kimura
- Oncology top 2%
- Lung Cancer Research Studies 21
- Colorectal Cancer Treatments and Studies 17
- Cancer Immunotherapy and Biomarkers 11
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 14
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- Lung Cancer Treatments and Mutations 51
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 8
- Hepatology top 10%
- Molecular Biology top 10%
- RNA modifications and cancer 8
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- Asthma and respiratory diseases 10
Hideharu Kimura
108 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Oncology 1.4k
- Cancer Research 742
- Pulmonary and Respiratory Medicine 1.5k
- Hepatology 111
- Molecular Biology 825
Countries citing papers authored by Hideharu Kimura
This map shows the geographic impact of Hideharu Kimura'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 Hideharu Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideharu Kimura more than expected).
Fields of papers citing papers by Hideharu Kimura
This network shows the impact of papers produced by Hideharu Kimura. 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 Hideharu Kimura. The network helps show where Hideharu Kimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideharu Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 36 | |
| 9 | 2019 | 15 | |
| 10 | 2016 | 17 | |
| 11 | 2016 | 14 | |
| 12 | 2012 | 99 | |
| 13 | 2012 | 20 | |
| 14 | 2012 | 13 | |
| 15 | 2011 | 101 | |
| 16 | 2011 | 5 | |
| 17 | 2007 | 0 | |
| 18 | 2007 | 6 | |
| 19 | Deletional mutant EGFR detected in circulating tumor-derived DNA from lung cancer patients treated with gefitinib. | 2005 | 0 |
| 20 | [Serum neuron-specific enolase as a marker of lung cancers]. | 1985 | 2 |
About Hideharu Kimura
Hideharu Kimura is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Physiology and Hepatology, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (51 papers), Lung Cancer Research Studies (21 papers), Colorectal Cancer Treatments and Studies (17 papers), Cancer Genomics and Diagnostics (14 papers), Cancer Immunotherapy and Biomarkers (11 papers), Asthma and respiratory diseases (10 papers), RNA modifications and cancer (8 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers). The work is most often cited by research in Oncology (1.4k citations), Cancer Research (742 citations), Pulmonary and Respiratory Medicine (1.5k citations), Hepatology (111 citations) and Molecular Biology (825 citations). Hideharu Kimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuto Nishio, Kazuo Kasahara, Tomohide Tamura, Tokuzo Arao, Hideo Kunitoh, Kazuko Sakai, Takashi Sone, Yoshihiko Fujita, Makoto Kawaishi and Brian R. Holloway. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Lung Cancer, Cancer Research and Annals of Oncology.
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.