William B. Isaacs

72.2k citations
374 papers · 32.5k · 13 hit papers · h-index 88

Impact in

  • Cancer Research top 0.05%
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Prostate Cancer Treatment and Research
    • Prostate Cancer Diagnosis and Treatment

Papers in

William B. Isaacs

372 papers receiving 31.8k citations

William B. Isaacs's Hit Papers

Distinct Transcriptional Programs Mediated by the Ligand-Dependent Full-Length Androgen Receptor and Its Splice Variants in Castration-Resistant Prostate Cancer 2012 · 451 citations
4510+13+26Years since publication50010001.5k

Peers

William B. Isaacs
Comparison fields: 5 of 194
  • Cancer Research 9.1k
  • Pulmonary and Respiratory Medicine 14.7k
  • Oncology 6.8k
  • Molecular Biology 17.0k
  • Genetics 4.4k
Replace Mark A. Rubin with:
Mark A. Rubin United States
Angelo M. De Marzo United States
Martin Gleave Canada
Peter S. Nelson United States
Robert L. Vessella United States
John T. Isaacs United States
Kenneth J. Pienta United States
Charles L. Sawyers United States
Jack A. Schalken Netherlands
Michael A. Carducci United States
William B. Isaacs relative to Mark A. Rubin United States Mark A. Rubin's profile →
Citations per field
00.5×1.5×
Mark A. Rubin · 1×
Citations per year

Countries citing papers authored by William B. Isaacs

Since Specialization
Citations

This map shows the geographic impact of William B. Isaacs'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 William B. Isaacs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William B. Isaacs more than expected).

Fields of papers citing papers by William B. Isaacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Isaacs. 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 William B. Isaacs. The network helps show where William B. Isaacs may publish in the future.

Co-authors

The 25 scholars most cited alongside William B. Isaacs, 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 William B. Isaacs Line = papers co-authored together William B. Isaacs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 374 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Overexpression of hypoxia-inducible factor 1alpha in common human cancers and their metastases.
Hit paper breakdown →
19991913
2
Inflammation in prostate carcinogenesis
Hit paper breakdown →
20071212
3
Ligand-Independent Androgen Receptor Variants Derived from Splicing of Cryptic Exons Signify Hormone-Refractory Prostate Cancer
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2008830
4
DD3: a new prostate-specific gene, highly overexpressed in prostate cancer.
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1999809
5
Prostate Cancer
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2003741
6
E-cadherin expression is silenced by DNA hypermethylation in human breast and prostate carcinomas.
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1995668
7
Cytidine methylation of regulatory sequences near the pi-class glutathione S-transferase gene accompanies human prostatic carcinogenesis.
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1994641
8
DPC4 gene in various tumor types.
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1996570
9
Frequent inactivation of PTEN/MMAC1 in primary prostate cancer.
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1997552
10
Inactivation of the tumor suppressor PTEN/MMAC1 in advanced human prostate cancer through loss of expression
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1998526
11
Expression of the cellular adhesion molecule E-cadherin is reduced or absent in high-grade prostate cancer.
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1992514
12
Distinct Transcriptional Programs Mediated by the Ligand-Dependent Full-Length Androgen Receptor and Its Splice Variants in Castration-Resistant Prostate Cancer
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2012451
13 2010450
14
Decreased E-cadherin expression is associated with poor prognosis in patients with prostate cancer.
1994445
15 1993431
16 2004403
17 1990390
18
Wild-type p53 suppresses growth of human prostate cancer cells containing mutant p53 alleles.
1991388
19
Establishment and characterization of seven dunning rat prostatic cancer cell lines and their use in developing methods for predicting metastatic abilities of prostatic cancers
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1986362
20
Interfocal heterogeneity of PTEN/MMAC1 gene alterations in multiple metastatic prostate cancer tissues.
1998361

About William B. Isaacs

William B. Isaacs is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Genetics and Oncology, having authored 374 papers that have together received 32.5k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (221 papers), Prostate Cancer Diagnosis and Treatment (99 papers), Cancer-related gene regulation (51 papers), Genetic Associations and Epidemiology (44 papers), Epigenetics and DNA Methylation (37 papers), Cancer, Lipids, and Metabolism (35 papers), Cancer Genomics and Diagnostics (33 papers) and Genetic factors in colorectal cancer (30 papers). The work is most often cited by research in Cancer Research (9.1k citations), Pulmonary and Respiratory Medicine (14.7k citations), Oncology (6.8k citations), Molecular Biology (17.0k citations) and Genetics (4.4k citations). William B. Isaacs has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Angelo M. De Marzo, William G. Nelson, G. Steven Bova, Charles M. Ewing, Jonathan I. Epstein, Jianfeng Xu, Jun Luo, Elizabeth A. Platz, Jack A. Schalken and Henrik Grönberg. Their work appears in journals such as The Prostate, The Journal of Urology, Cancer Epidemiology Biomarkers & Prevention, Cancer Research and Clinical Cancer Research.

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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