G. Steven Bova
- Molecular Biology top 0.5%
- Pulmonary and Respiratory Medicine top 0.2%
- Cancer Research top 0.5%
- Oncology top 0.5%
- Genetics top 1%
- Co-authors
- William B. IsaacsWilliam G. NelsonJonathan I. EpsteinJames D. BrooksJohn T. IsaacsDavid SidranskyPatrick C. WalshSrinivasan Yegnasubramanian
- Topics
- Prostate Cancer Treatment and Research (55 papers)Epigenetics and DNA Methylation (27 papers)Cancer Genomics and Diagnostics (20 papers)
- Partner nations
- United StatesFinlandItaly
In The Last Decade
G. Steven Bova
131 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 7.9k
- Pulmonary and Respiratory Medicine 5.2k
- Cancer Research 2.9k
- Oncology 2.8k
- Genetics 1.6k
Countries citing papers authored by G. Steven Bova
This map shows the geographic impact of G. Steven Bova'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 G. Steven Bova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Steven Bova more than expected).
Fields of papers citing papers by G. Steven Bova
This network shows the impact of papers produced by G. Steven Bova. 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 G. Steven Bova. The network helps show where G. Steven Bova may publish in the future.
Co-authorship network of co-authors of G. Steven Bova
This figure shows the co-authorship network connecting the top 25 collaborators of G. Steven Bova. A scholar is included among the top collaborators of G. Steven Bova 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 G. Steven Bova. G. Steven Bova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 42 | |
| 5 | 17 | |
| 6 | 66 | |
| 7 | 41 | |
| 8 | 2 | |
| 9 | 160 | |
| 10 | 15 | |
| 11 | 315 | |
| 12 | Ligand-Independent Androgen Receptor Variants Derived from Splicing of Cryptic Exons Signify Hormone-Refractory Prostate Cancerbreakdown → | 830 |
| 13 | 214 | |
| 14 | 154 | |
| 15 | 128 | |
| 16 | 23 | |
| 17 | 32 | |
| 18 | 303 | |
| 19 | 6 | |
| 20 | 15 |
About G. Steven Bova
G. Steven Bova is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 132 papers that have together received 12.6k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (55 papers), Epigenetics and DNA Methylation (27 papers) and Cancer Genomics and Diagnostics (20 papers). The work is most often cited by research in Cancer Research (2.9k citations), Pulmonary and Respiratory Medicine (5.2k citations) and Molecular Biology (7.9k citations). G. Steven Bova has collaborated with scholars based in United States, Finland and Italy. Frequent co-authors include William B. Isaacs, William G. Nelson, Jonathan I. Epstein, James D. Brooks, John T. Isaacs, David Sidransky, Patrick C. Walsh, Srinivasan Yegnasubramanian, Sokhom S. Pin and Ronald A. Morton. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.