Edouard C. Nice
Impact in
- Oncology top 0.5%
- HER2/EGFR in Cancer Research
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 66
-
- Cancer, Hypoxia, and Metabolism 18
- Co-authors
- Canhua HuangAntony W. BurgessZhao HuangKui WangRichard J. SimpsonNa XieFrank CarusoJoan K. Heath
- Journals
- Journal of Biological Chemistry (16 papers)Journal of Proteome Research (13 papers)Journal of Chromatography A (11 papers)Growth Factors (10 papers)Biochemistry (8 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Edouard C. Nice
302 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Oncology 4.6k
- Cancer Research 2.2k
- Molecular Biology 9.5k
- Biomaterials 1.4k
- Radiology, Nuclear Medicine and Imaging 2.4k
Countries citing papers authored by Edouard C. Nice
This map shows the geographic impact of Edouard C. Nice'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 Edouard C. Nice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edouard C. Nice more than expected).
Fields of papers citing papers by Edouard C. Nice
This network shows the impact of papers produced by Edouard C. Nice. 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 Edouard C. Nice. The network helps show where Edouard C. Nice may publish in the future.
Co-authors
The 25 scholars most cited alongside Edouard C. Nice, 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 | 8 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 25 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 35 | |
| 13 | 2018 | 27 | |
| 14 | 2017 | 116 | |
| 15 | 2016 | 93 | |
| 16 | 2016 | 191 | |
| 17 | 2013 | 85 | |
| 18 | 2011 | 12 | |
| 19 | 2009 | 17 | |
| 20 | High-performance liquid chromatographic analysis of the tyrphostin AG1478, a specific inhibitor of the epidermal growth factor receptor tyrosine kinase, in mouse plasma | 2001 | 1 |
About Edouard C. Nice
Edouard C. Nice is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology, Spectroscopy and Oncology, having authored 304 papers that have together received 17.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (66 papers), Advanced Proteomics Techniques and Applications (37 papers), Glycosylation and Glycoproteins Research (36 papers), Nanoplatforms for cancer theranostics (30 papers), HER2/EGFR in Cancer Research (30 papers), Autophagy in Disease and Therapy (19 papers), Cancer, Hypoxia, and Metabolism (18 papers) and Nanoparticle-Based Drug Delivery (18 papers). The work is most often cited by research in Oncology (4.6k citations), Cancer Research (2.2k citations), Molecular Biology (9.5k citations), Biomaterials (1.4k citations) and Radiology, Nuclear Medicine and Imaging (2.4k citations). Edouard C. Nice has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Canhua Huang, Antony W. Burgess, Zhao Huang, Kui Wang, Richard J. Simpson, Na Xie, Frank Caruso, Joan K. Heath, Li Zhou and Yan Yan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Proteome Research, Journal of Chromatography A, Growth Factors and Biochemistry.
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.