Daniel D. Dietrick
Impact in
-
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Renal cell carcinoma treatment
- Rheumatology top 10%
- Urologic and reproductive health conditions
Papers in
-
- Prostate Cancer Treatment and Research 2
- Prostate Cancer Diagnosis and Treatment 2
- Renal cell carcinoma treatment 2
-
- Urologic and reproductive health conditions 4
- Co-authors
- Thomas A. Stamey (2 shared papers)Muta M. Issa (3 shared papers)Bruce A. Reitz (2 shared papers)Fray F. Marshall (2 shared papers)William A. Baumgartner (1 shared paper)John E. McNeal (1 shared paper)John N. Kabalin (3 shared papers)Richard L. Cysyk (3 shared papers)
- Journals
- The Journal of Urology (5 papers)Urology (2 papers)Cellular and Molecular Life Sciences (1 paper)Analytical Biochemistry (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel D. Dietrick
10 papers receiving 511 citations
Peers
Comparison fields: 5 of 61
- Pulmonary and Respiratory Medicine 327
- Rheumatology 141
- Obstetrics and Gynecology 53
- Internal Medicine 23
- Urology 36
Countries citing papers authored by Daniel D. Dietrick
This map shows the geographic impact of Daniel D. Dietrick'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 Daniel D. Dietrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Dietrick more than expected).
Fields of papers citing papers by Daniel D. Dietrick
This network shows the impact of papers produced by Daniel D. Dietrick. 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 Daniel D. Dietrick. The network helps show where Daniel D. Dietrick may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel D. Dietrick, 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 | 1988 | 141 | |
| 2 | 1993 | 104 | |
| 3 | 1995 | 91 | |
| 4 | 1992 | 73 | |
| 5 | 1980 | 58 | |
| 6 | 1992 | 44 | |
| 7 | Effect of inhibitors of the de novo pyrimidine biosynthetic pathway on serum uridine levels in mice. | 1981 | 13 |
| 8 | 1987 | 10 | |
| 9 | 1981 | 10 | |
| 10 | 1994 | 7 |
About Daniel D. Dietrick
Daniel D. Dietrick is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Molecular Biology, Surgery and Infectious Diseases, having authored 10 papers that have together received 551 indexed citations. Recurring topics across this work include Urologic and reproductive health conditions (4 papers), Prostate Cancer Treatment and Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Renal cell carcinoma treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Thyroid Disorders and Treatments (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (327 citations), Rheumatology (141 citations), Obstetrics and Gynecology (53 citations), Internal Medicine (23 citations) and Urology (36 citations). Daniel D. Dietrick has collaborated with scholars based in United States. Frequent co-authors include Thomas A. Stamey, Muta M. Issa, Bruce A. Reitz, Fray F. Marshall, William A. Baumgartner, John E. McNeal, John N. Kabalin, Richard L. Cysyk, Lawrence W. Anderson and Jean M. Karle. Their work appears in journals such as The Journal of Urology, Urology, Cellular and Molecular Life Sciences, Analytical Biochemistry and PubMed.
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.