Virginia Valentine
- Molecular Biology top 5%
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Neurology top 5%
- Co-authors
- Vincent J. KiddJosé GrenetA. Thomas LookTal TeitzJill M. LahtiElio F. VaninDavid N. ShapiroStephan W. Morris
- Topics
- Diabetes Management and Research (15 papers)Diabetes Treatment and Management (13 papers)Cancer-related Molecular Pathways (9 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Virginia Valentine
63 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.6k
- Oncology 671
- Immunology 622
- Cancer Research 415
- Neurology 343
Countries citing papers authored by Virginia Valentine
This map shows the geographic impact of Virginia Valentine'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 Virginia Valentine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Valentine more than expected).
Fields of papers citing papers by Virginia Valentine
This network shows the impact of papers produced by Virginia Valentine. 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 Virginia Valentine. The network helps show where Virginia Valentine may publish in the future.
Co-authorship network of co-authors of Virginia Valentine
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Valentine. A scholar is included among the top collaborators of Virginia Valentine 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 Virginia Valentine. Virginia Valentine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 34 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | Gains of chromosome 17q common in high-risk neuroblastomas do not involve the topoisomerase IIα gene: FISH and quantitative-PCR (Q-PCR) studies of six neuroblastoma cell lines | 1 |
| 11 | 175 | |
| 12 | 37 | |
| 13 | 210 | |
| 14 | Caspase 8 is deleted or silenced preferentially in childhood neuroblastomas with amplification of MYCNbreakdown → | 623 |
| 15 | 16 | |
| 16 | 25 | |
| 17 | 131 | |
| 18 | 18 | |
| 19 | 9 | |
| 20 | 34 |
About Virginia Valentine
Virginia Valentine is a scholar working on Endocrinology, Diabetes and Metabolism, Aging and Oncology, having authored 63 papers that have together received 2.8k indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Diabetes Treatment and Management (13 papers) and Cancer-related Molecular Pathways (9 papers). The work is most often cited by research in Immunology (622 citations), Cancer Research (415 citations) and Oncology (671 citations). Virginia Valentine has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Vincent J. Kidd, José Grenet, A. Thomas Look, Tal Teitz, Jill M. Lahti, Elio F. Vanin, David N. Shapiro, Stephan W. Morris, Debra J. Gilbert and Neal G. Copeland. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.
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.