Diha Freije
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 10%
- Cancer Research top 10%
- Oncology
- Co-authors
- William B. IsaacsG. Steven BovaDeborah NusskernP CairnsHidenori SuzukiKenji OkamiDavid SidranskyHelen Donis-Keller
- Topics
- Prostate Cancer Treatment and Research (8 papers)BRCA gene mutations in cancer (5 papers)Epigenetics and DNA Methylation (5 papers)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Diha Freije
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 792
- Pulmonary and Respiratory Medicine 427
- Genetics 310
- Cancer Research 231
- Oncology 158
Countries citing papers authored by Diha Freije
This map shows the geographic impact of Diha Freije'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 Diha Freije with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diha Freije more than expected).
Fields of papers citing papers by Diha Freije
This network shows the impact of papers produced by Diha Freije. 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 Diha Freije. The network helps show where Diha Freije may publish in the future.
Co-authorship network of co-authors of Diha Freije
This figure shows the co-authorship network connecting the top 25 collaborators of Diha Freije. A scholar is included among the top collaborators of Diha Freije 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 Diha Freije. Diha Freije is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 36 | |
| 3 | 15 | |
| 4 | 6 | |
| 5 | 179 | |
| 6 | 91 | |
| 7 | Tchou, J.C. et al. GSTP1 CpG island DNA hypermethylation in hepatocellular carcinoma. Int. J. Oncol. 16, 663−676 | 5 |
| 8 | No association between the I105V polymorphism of the glutathione S-transferase P1 gene (GSTP1) and prostate cancer risk: a prospective study. | 29 |
| 9 | 45 | |
| 10 | 10 | |
| 11 | 35 | |
| 12 | 1 | |
| 13 | Interfocal heterogeneity of PTEN/MMAC1 gene alterations in multiple metastatic prostate cancer tissues. | 361 |
| 14 | 24 | |
| 15 | 10 | |
| 16 | 80 | |
| 17 | A 1.6-Mb contig of yeast artificial chromosomes around the human factor VIII gene reveals three regions homologous to probes for the DXS115 locus and two for the DXYS64 locus. | 44 |
| 18 | 133 | |
| 19 | 58 |
About Diha Freije
Diha Freije is a scholar working on Urology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), BRCA gene mutations in cancer (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (231 citations), Pulmonary and Respiratory Medicine (427 citations) and Molecular Biology (792 citations). Diha Freije has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include William B. Isaacs, G. Steven Bova, Deborah Nusskern, P Cairns, Hidenori Suzuki, Kenji Okami, David Sidransky, Helen Donis-Keller, Cynthia Helms and Michael S. Watson. Their work appears in journals such as Science, The Journal of Urology and American Journal Of Pathology.
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.