Corinne M. Silva
- Molecular Biology top 10%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 5%
- Genetics top 10%
- Co-authors
- Sarah J. ParsonsJacqueline S. BiscardiJulie L. BoernerRumey C. IshizawarMichael KlothMichael O. ThornerMichael J. WeberMargaret A. Shupnik
- Topics
- Cytokine Signaling Pathways and Interactions (18 papers)Growth Hormone and Insulin-like Growth Factors (10 papers)HER2/EGFR in Cancer Research (10 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Corinne M. Silva
33 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.0k
- Oncology 942
- Endocrinology, Diabetes and Metabolism 341
- Cancer Research 320
- Genetics 276
Countries citing papers authored by Corinne M. Silva
This map shows the geographic impact of Corinne M. Silva'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 Corinne M. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corinne M. Silva more than expected).
Fields of papers citing papers by Corinne M. Silva
This network shows the impact of papers produced by Corinne M. Silva. 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 Corinne M. Silva. The network helps show where Corinne M. Silva may publish in the future.
Co-authorship network of co-authors of Corinne M. Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Corinne M. Silva. A scholar is included among the top collaborators of Corinne M. Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Corinne M. Silva. Corinne M. Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 24 | |
| 3 | 39 | |
| 4 | 9 | |
| 5 | 30 | |
| 6 | 59 | |
| 7 | 9 | |
| 8 | 44 | |
| 9 | 18 | |
| 10 | The role of EGF and transactivating agonists in EGFR/c-Src synergy | 1 |
| 11 | 61 | |
| 12 | 79 | |
| 13 | 164 | |
| 14 | 132 | |
| 15 | 12 | |
| 16 | 263 | |
| 17 | 5 | |
| 18 | 103 | |
| 19 | 58 | |
| 20 | 4 |
About Corinne M. Silva
Corinne M. Silva is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Aging, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (18 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and HER2/EGFR in Cancer Research (10 papers). The work is most often cited by research in Oncology (942 citations), Cancer Research (320 citations) and Endocrinology, Diabetes and Metabolism (341 citations). Corinne M. Silva has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Sarah J. Parsons, Jacqueline S. Biscardi, Julie L. Boerner, Rumey C. Ishizawar, Michael Kloth, Michael O. Thorner, Michael J. Weber, Margaret A. Shupnik, Hsienwie Lu and Richard N. Day. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development and Molecular and Cellular Biology.
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.