Daniel D. Dietrick

696 citations
10 papers · 553 · h-index 9

Impact in

Papers in

Daniel D. Dietrick

10 papers receiving 513 citations

Peers

Daniel D. Dietrick
Comparison fields: 5 of 59
  • Pulmonary and Respiratory Medicine 293
  • Obstetrics and Gynecology 45
  • Rheumatology 89
  • Urology 29
  • Internal Medicine 12
Replace U. K. Wenderoth with:
U. K. Wenderoth Germany
Pablo de la Torre Spain
Jong Kil Nam South Korea
Jacob Kaneti Israel
Resnick Mi United States
Michael Poch United States
Pilar Laguna Türkiye
S. Mulgaonkar United States
Rafael Sánchez-Salas France
Greg Hruby United States
Daniel D. Dietrick relative to U. K. Wenderoth Germany U. K. Wenderoth's profile →
Citations per field
00.5×3.5×
U. K. Wenderoth · 1×
Citations per year

Countries citing papers authored by Daniel D. Dietrick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel D. Dietrick Line = papers co-authored together Daniel D. Dietrick links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1988142
2 1993104
3 199591
4 199274
5 198058
6 199244
7
Effect of inhibitors of the de novo pyrimidine biosynthetic pathway on serum uridine levels in mice.
198113
8 198110
9 198710
10 19947

About Daniel D. Dietrick

Daniel D. Dietrick is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Rheumatology, Surgery and Infectious Diseases, having authored 10 papers that have together received 553 indexed citations. Recurring topics across this work include Urologic and reproductive health conditions (3 papers), Renal cell carcinoma treatment (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Vitamin C and Antioxidants Research (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Ion Transport and Channel Regulation (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (293 citations), Obstetrics and Gynecology (45 citations), Rheumatology (89 citations), Urology (29 citations) and Internal Medicine (12 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, Analytical Biochemistry, Cellular and Molecular Life Sciences 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.

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