Debra Loza
Impact in
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- Hormonal and reproductive studies
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
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- Prostate Cancer Treatment and Research 8
- Prostate Cancer Diagnosis and Treatment 1
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- Hormonal and reproductive studies 7
- Co-authors
- Jack Geller (7 shared papers)Jerry Albert (5 shared papers)Suzanne Geller (3 shared papers)Daniel A. Nachtsheim (3 shared papers)Samuel S.C. Yen (1 shared paper)J Geller (2 shared papers)S. M. Lippman (1 shared paper)Jeffrey M. Albert (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)The Journal of Urology (1 paper)The Prostate (1 paper)PubMed (3 papers)Journal of Steroid Biochemistry (2 papers)
- Partner nations
- United States
In The Last Decade
Debra Loza
9 papers receiving 368 citations
Peers
Comparison fields: 5 of 43
- Endocrinology, Diabetes and Metabolism 232
- Pulmonary and Respiratory Medicine 304
- Cancer Research 57
- Genetics 89
- Urology 14
Countries citing papers authored by Debra Loza
This map shows the geographic impact of Debra Loza'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 Debra Loza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Loza more than expected).
Fields of papers citing papers by Debra Loza
This network shows the impact of papers produced by Debra Loza. 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 Debra Loza. The network helps show where Debra Loza may publish in the future.
Co-authors
The 9 scholars most cited alongside Debra Loza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 114 | |
| 2 | 1984 | 91 | |
| 3 | 1981 | 49 | |
| 4 | 1979 | 41 | |
| 5 | Dihydrotestosterone concentration in prostate cancer tissue as a predictor of tumor differentiation and hormonal dependency. | 1978 | 34 |
| 6 | Steroid levels in cancer of the prostate--markers of tumor differentiation and adequacy of anti-androgen therapy. | 1979 | 30 |
| 7 | 1978 | 16 | |
| 8 | Medical castration with megestrol acetate and minidose of diethylstilbestrol. | 1981 | 16 |
| 9 | 1981 | 13 |
About Debra Loza
Debra Loza is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Spectroscopy and Animal Science and Zoology, having authored 9 papers that have together received 404 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Hormonal and reproductive studies (7 papers), Estrogen and related hormone effects (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Cardiac Imaging and Diagnostics (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), Pharmacological Effects and Assays (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (232 citations), Pulmonary and Respiratory Medicine (304 citations), Cancer Research (57 citations), Genetics (89 citations) and Urology (14 citations). Debra Loza has collaborated with scholars based in United States. Frequent co-authors include Jack Geller, Jerry Albert, Suzanne Geller, Daniel A. Nachtsheim, Samuel S.C. Yen, J Geller, S. M. Lippman, Jeffrey M. Albert and Stephen A. Geller. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Urology, The Prostate, PubMed and Journal of Steroid Biochemistry.
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.