Serenella Eppenberger‐Castori
- Cancer Research top 2%
- Breast Cancer Treatment Studies 9
- Cancer Genomics and Diagnostics 7
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 13
- HER2/EGFR in Cancer Research 12
- Immunology top 5%
- Immune Cell Function and Interaction 7
- Molecular Biology top 5%
- Molecular Biology Techniques and Applications 6
- Immunology and Allergy top 10%
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- Estrogen and related hormone effects 9
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Urs EppenbergerChristopher C. BenzWilly KuengLuigi TerraccianoDan H. MooreVincent VuaroqueauxYan ZhouChristina Yau
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Journal of Clinical Oncology (5 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Serenella Eppenberger‐Castori
75 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 864
- Oncology 1.4k
- Immunology 490
- Molecular Biology 1.3k
- Immunology and Allergy 79
Countries citing papers authored by Serenella Eppenberger‐Castori
This map shows the geographic impact of Serenella Eppenberger‐Castori'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 Serenella Eppenberger‐Castori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serenella Eppenberger‐Castori more than expected).
Fields of papers citing papers by Serenella Eppenberger‐Castori
This network shows the impact of papers produced by Serenella Eppenberger‐Castori. 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 Serenella Eppenberger‐Castori. The network helps show where Serenella Eppenberger‐Castori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Serenella Eppenberger‐Castori, 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 | 4 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 8 | |
| 4 | 2020 | 9 | |
| 5 | 2018 | 142 | |
| 6 | 2017 | 152 | |
| 7 | 2015 | 52 | |
| 8 | 2014 | 17 | |
| 9 | 2012 | 11 | |
| 10 | 2010 | 40 | |
| 11 | 2008 | 79 | |
| 12 | 2007 | 93 | |
| 13 | 2006 | 56 | |
| 14 | 2006 | 13 | |
| 15 | 2006 | 15 | |
| 16 | 2004 | 113 | |
| 17 | 2002 | 56 | |
| 18 | 2001 | 69 | |
| 19 | 2000 | 122 | |
| 20 | 1998 | 25 |
About Serenella Eppenberger‐Castori
Serenella Eppenberger‐Castori is a scholar working on Cancer Research, Oncology and Immunology, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), HER2/EGFR in Cancer Research (12 papers), Estrogen and related hormone effects (9 papers), Breast Cancer Treatment Studies (9 papers), Cancer Genomics and Diagnostics (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (7 papers) and Molecular Biology Techniques and Applications (6 papers). The work is most often cited by research in Cancer Research (864 citations), Oncology (1.4k citations) and Immunology (490 citations). Serenella Eppenberger‐Castori has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Urs Eppenberger, Christopher C. Benz, Willy Kueng, Luigi Terracciano, Dan H. Moore, Vincent Vuaroqueaux, Yan Zhou, Christina Yau, Yamei Zhou and Raoul A. Droeser. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.