F J Frey

777 citations
28 papers · 587 · h-index 15

Impact in

Papers in

F J Frey

27 papers receiving 559 citations

Peers

F J Frey
Comparison fields: 5 of 95
  • Transplantation 55
  • Endocrinology, Diabetes and Metabolism 192
  • Pharmacology 92
  • Nephrology 35
  • Behavioral Neuroscience 15
Replace Kathleen M. Tornatore with:
Kathleen M. Tornatore United States
J. K. Dawborn Australia
Kiumars Vadiei United States
C. P. Swainson United Kingdom
Nicole Vaccaro United States
Michael E. Franklin Australia
Takafumi Kuzuya Japan
Hannu Jokela Finland
Philip R. Mayer United States
Chi Chung Shek China
F J Frey relative to Kathleen M. Tornatore United States Kathleen M. Tornatore's profile →
Citations per field
00.5×1.5×1.8×
Kathleen M. Tornatore · 1×
Citations per year

Countries citing papers authored by F J Frey

Since Specialization
Citations

This map shows the geographic impact of F J Frey'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 F J Frey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F J Frey more than expected).

Fields of papers citing papers by F J Frey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F J Frey. 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 F J Frey. The network helps show where F J Frey may publish in the future.

Co-authors

The 25 scholars most cited alongside F J Frey, 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 F J Frey Line = papers co-authored together F J Frey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197989
2 198660
3 198052
4 198449
5 200846
6 198840
7
Urinary 6 beta-hydroxyprednisolone excretion indicates enhanced prednisolone catabolism.
198339
8 198832
9 199424
10 199621
11 200320
12 198218
13 198917
14 201115
15 198614
16 199211
17
[Quantitative assessment of the quality of life of patients with a kidney transplant].
19938
18 19897
19 19877
20 19915

About F J Frey

F J Frey is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Pharmacology, Oncology and Molecular Biology, having authored 28 papers that have together received 587 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Adrenal Hormones and Disorders (3 papers), Hormonal Regulation and Hypertension (3 papers), Analytical Methods in Pharmaceuticals (3 papers), Poisoning and overdose treatments (3 papers), Body Composition Measurement Techniques (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Transplantation (55 citations), Endocrinology, Diabetes and Metabolism (192 citations), Pharmacology (92 citations), Nephrology (35 citations) and Behavioral Neuroscience (15 citations). F J Frey has collaborated with scholars based in Switzerland, Germany and India. Frequent co-authors include B. M. Frey, Leslie Z. Benet, Andreas E. Stuck, A.L. de Weck, C. E. Walker, Heather Herren, Geneviève Escher, Jana Henschkowski, Gerhard Gillmann and Bernhard Dick. Their work appears in journals such as British Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy, Journal of Pharmacology and Experimental Therapeutics, Metabolism and Clinical Chemistry.

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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