Shinya Neri
Impact in
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 27
- Cancer Cells and Metastasis 16
- Lymphatic System and Diseases 8
- Cancer Immunotherapy and Biomarkers 5
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- Cancer, Hypoxia, and Metabolism 3
- Breast Cancer Treatment Studies 3
- Co-authors
- Genichiro IshiiAtsushi OchiaiSteven H. LinAmrish SharmaWen JiangYifan WangWeiye DengKanji Nagai
- Journals
- Journal of Cancer Research and Clinical Oncology (6 papers)Scientific Reports (3 papers)Lung Cancer (3 papers)Cancer Research (3 papers)Journal of Thoracic Oncology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shinya Neri
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Oncology 1.1k
- Cancer Research 366
- Immunology 341
- Pulmonary and Respiratory Medicine 525
- Radiation 119
Countries citing papers authored by Shinya Neri
This map shows the geographic impact of Shinya Neri'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 Shinya Neri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Neri more than expected).
Fields of papers citing papers by Shinya Neri
This network shows the impact of papers produced by Shinya Neri. 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 Shinya Neri. The network helps show where Shinya Neri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shinya Neri, 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 | 2020 | 62 | |
| 2 | 2020 | 7 | |
| 3 | 2019 | 108 | |
| 4 | 2019 | 73 | |
| 5 | 2019 | 96 | |
| 6 | 2018 | 46 | |
| 7 | 2018 | 9 | |
| 8 | 2018 | 5 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 290 | |
| 11 | 2017 | 44 | |
| 12 | 2017 | 49 | |
| 13 | 2015 | 362 | |
| 14 | 2015 | 33 | |
| 15 | 2014 | 102 | |
| 16 | 2014 | 15 | |
| 17 | 2014 | 47 | |
| 18 | 2013 | 6 | |
| 19 | 2011 | 12 | |
| 20 | 2010 | 50 |
About Shinya Neri
Shinya Neri is a scholar working on Oncology, Cancer Research, Immunology and Allergy, Immunology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (16 papers), Lymphatic System and Diseases (8 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Immunotherapy and Immune Responses (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (366 citations), Immunology (341 citations), Pulmonary and Respiratory Medicine (525 citations) and Radiation (119 citations). Shinya Neri has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Genichiro Ishii, Atsushi Ochiai, Steven H. Lin, Amrish Sharma, Wen Jiang, Yifan Wang, Weiye Deng, Kanji Nagai, Hiroko Hashimoto and Nan Li. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Scientific Reports, Lung Cancer, Cancer Research and Journal of Thoracic 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.