This map shows the geographic impact of J T 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 J T Isaacs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J T Isaacs more than expected).
This network shows the impact of papers produced by J T 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 J T Isaacs. The network helps show where J T Isaacs may publish in the future.
Co-authorship network of co-authors of J T Isaacs
This figure shows the co-authorship network connecting the top 25 collaborators of J T Isaacs.
A scholar is included among the top collaborators of J T Isaacs 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 J T Isaacs. J T Isaacs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gao, Jin & J T Isaacs. (1998). Development of an androgen receptor-null model for identifying the initiation site for androgen stimulation of proliferation and suppression of programmed (apoptotic) death of PC-82 human prostate cancer cells.. PubMed. 58(15). 3299–306.40 indexed citations
Joseph, Ingrid B.J. & J T Isaacs. (1997). Potentiation of the antiangiogenic ability of linomide by androgen ablation involves down-regulation of vascular endothelial growth factor in human androgen-responsive prostatic cancers.. PubMed. 57(6). 1054–7.82 indexed citations
5.
Isaacs, J T. (1997). Molecular markers for prostate cancer metastasis. Developing diagnostic methods for predicting the aggressiveness of prostate cancer.. PubMed. 150(5). 1511–21.78 indexed citations
6.
Rinker‐Schaeffer, Carrie, Anita L. Hawkins, Ning Ru, et al.. (1994). Differential suppression of mammary and prostate cancer metastasis by human chromosomes 17 and 11.. PubMed. 54(23). 6249–56.75 indexed citations
7.
Isaacs, J T. (1993). 5Alpha-reductase inhibitors and the treatment of benign prostatic hyperplasia. Drugs of today. 29(5). 335–342.10 indexed citations
Ichikawa, Tomohiko, Jin‐Tang Dong, Anita L. Hawkins, et al.. (1992). Localization of metastasis suppressor gene(s) for prostatic cancer to the short arm of human chromosome 11.. PubMed. 52(12). 3486–90.109 indexed citations
10.
Bussemakers, Marion J.G., Laurence A. Giroldi, Takahiro Ichikawa, et al.. (1992). Decreased expression of E-cadherin in the progression of rat prostatic cancer.. PubMed. 52(10). 2916–22.143 indexed citations
11.
Redding, Tommie W., Andrew V. Schally, Siniša Radulović, et al.. (1992). Sustained release formulations of luteinizing hormone-releasing hormone antagonist SB-75 inhibit proliferation and enhance apoptotic cell death of human prostate carcinoma (PC-82) in male nude mice.. PubMed. 52(9). 2538–44.58 indexed citations
Isaacs, J T. (1991). A mammary cancer suppressor gene and its site of action in the rat.. PubMed. 51(6). 1591–5.24 indexed citations
14.
Kyprianou, Natasha & J T Isaacs. (1990). Relationship between metastatic ability and H-ras oncogene expression in rat mammary cancer cells transfected with the v-H-ras oncogene.. PubMed. 50(5). 1449–54.26 indexed citations
Isaacs, J T. (1988). Inheritance of a genetic factor from the Copenhagen rat and the suppression of chemically induced mammary adenocarcinogenesis.. PubMed. 48(8). 2204–13.50 indexed citations
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.