Natsuko Nomura
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 3
- Cancer, Lipids, and Metabolism 3
- Genetics top 10%
- Glioma Diagnosis and Treatment 5
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- Monoclonal and Polyclonal Antibodies Research 4
- Radiopharmaceutical Chemistry and Applications 2
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- Lung Cancer Treatments and Mutations 4
- Brain Metastases and Treatment 3
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- Glycosylation and Glycoproteins Research 2
- Co-authors
- Santosh KesariSandeep C. PingleSandra PastorinoMilan MakaleRajesh MukthavaramPengfei JiangYing S. ChaoValentina Fogal
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (2 papers)Cancer Research (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Natsuko Nomura
26 papers receiving 664 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 202
- Genetics 117
- Radiology, Nuclear Medicine and Imaging 144
- Oncology 168
- Pulmonary and Respiratory Medicine 157
Countries citing papers authored by Natsuko Nomura
This map shows the geographic impact of Natsuko Nomura'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 Natsuko Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natsuko Nomura more than expected).
Fields of papers citing papers by Natsuko Nomura
This network shows the impact of papers produced by Natsuko Nomura. 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 Natsuko Nomura. The network helps show where Natsuko Nomura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natsuko Nomura, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 18 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 23 | |
| 13 | 2016 | 23 | |
| 14 | 2015 | 56 | |
| 15 | 2015 | 22 | |
| 16 | 2014 | 92 | |
| 17 | 2014 | 25 | |
| 18 | 2014 | 157 | |
| 19 | 2014 | 152 | |
| 20 | 2013 | 27 |
About Natsuko Nomura
Natsuko Nomura is a scholar working on Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 676 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Brain Metastases and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer, Lipids, and Metabolism (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Cancer Research (202 citations), Genetics (117 citations) and Radiology, Nuclear Medicine and Imaging (144 citations). Natsuko Nomura has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Santosh Kesari, Sandeep C. Pingle, Sandra Pastorino, Milan Makale, Rajesh Mukthavaram, Pengfei Jiang, Pengfei Jiang, Ying S. Chao, Valentina Fogal and Tiffany Juarez. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.
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.