G. Steven Bova

35.1k citations
132 papers · 12.6k indexed · 5 hit papers · h-index 52

G. Steven Bova

131 papers receiving 12.3k citations

Hit Papers

Ligand-Independent Androgen Receptor Variants De...8301994202620042015250500750

Peers

G. Steven Bova
Comparison fields: 5 of 158
  • Cancer Research 2.9k
  • Pulmonary and Respiratory Medicine 5.2k
  • Molecular Biology 7.9k
  • Oncology 2.8k
  • Pathology and Forensic Medicine 1.4k
Replace Bin Tean Teh with:
Bin Tean Teh United States
Daniel R. Rhodes United States
Tapio Visakorpi Finland
Patricia Troncoso United States
Wael Sakr United States
W. Marston Linehan United States
Wayne D. Tilley Australia
Sabina Signoretti United States
Lee J. Helman United States
Ronald Simon Germany
G. Steven Bova relative to Bin Tean Teh United States Bin Tean Teh's profile →
Citations per field
00.5×1.5×
Bin Tean Teh · 1×
Citations per year

Countries citing papers authored by G. Steven Bova

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside G. Steven Bova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Steven Bova Line = papers co-authored together G. Steven Bova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20236
3 20218
4 202042
5 201817
6 201866
7 201741
8 20162
9 2011160
10 201115
11 2010315
12
Ligand-Independent Androgen Receptor Variants Derived from Splicing of Cryptic Exons Signify Hormone-Refractory Prostate Cancerbreakdown →
2008830
13 2008214
14 2007154
15 2006128
16 200523
17 200132
18 1999303
19 19886
20 198815

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), Cancer Genomics and Diagnostics (20 papers), Cancer-related gene regulation (20 papers), Prostate Cancer Diagnosis and Treatment (17 papers), Genetic factors in colorectal cancer (13 papers), Cancer-related Molecular Pathways (10 papers) and Lipoproteins and Cardiovascular Health (7 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.

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