Aaron N. Hata
- Oncology top 2%
- Lung Cancer Research Studies 17
- Colorectal Cancer Treatments and Studies 11
- Cancer-related Molecular Pathways 7
- Cancer Immunotherapy and Biomarkers 7
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 16
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- Lung Cancer Treatments and Mutations 42
- Pharmacology top 2%
- Molecular Biology top 5%
- Cancer therapeutics and mechanisms 13
- RNA modifications and cancer 7
- Co-authors
- Richard BreyerJeffrey A. EngelmanAnthony C. FaberJustin F. GainorHeidie Frisco CabanosMari Mino–KenudsonIbiayi Dagogo‐JackW. Marston Linehan
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (3 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Aaron N. Hata
79 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Oncology 1.3k
- Cancer Research 591
- Pulmonary and Respiratory Medicine 1.1k
- Pharmacology 458
- Molecular Biology 1.7k
Countries citing papers authored by Aaron N. Hata
This map shows the geographic impact of Aaron N. Hata'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 Aaron N. Hata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron N. Hata more than expected).
Fields of papers citing papers by Aaron N. Hata
This network shows the impact of papers produced by Aaron N. Hata. 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 Aaron N. Hata. The network helps show where Aaron N. Hata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aaron N. Hata, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 29 | |
| 11 | 2022 | 13 | |
| 12 | Clinical Acquired Resistance to KRASG12C Inhibition through a Novel KRAS Switch-II Pocket Mutation and Polyclonal Alterations Converging on RAS–MAPK Reactivationbreakdown → | 2021 | 302 |
| 13 | 2021 | 122 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 40 | |
| 16 | 2020 | 8 | |
| 17 | 2019 | 24 | |
| 18 | 2019 | 112 | |
| 19 | 2014 | 60 | |
| 20 | 2013 | 110 |
About Aaron N. Hata
Aaron N. Hata is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (42 papers), Lung Cancer Research Studies (17 papers), Cancer Genomics and Diagnostics (16 papers), Cancer therapeutics and mechanisms (13 papers), Colorectal Cancer Treatments and Studies (11 papers), Cancer-related Molecular Pathways (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (591 citations) and Pulmonary and Respiratory Medicine (1.1k citations). Aaron N. Hata has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Richard Breyer, Jeffrey A. Engelman, Anthony C. Faber, Justin F. Gainor, Heidie Frisco Cabanos, Mari Mino–Kenudson, Ibiayi Dagogo‐Jack, W. Marston Linehan, Catherine B. Meador and Satoshi Yoda. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.