Fred Datz

466 citations
7 papers · 362 indexed · h-index 5

Impact in

Papers in

Fred Datz

7 papers receiving 348 citations

Peers

Fred Datz
Comparison fields: 5 of 61
  • Gastroenterology 90
  • Cardiology and Cardiovascular Medicine 111
  • Physiology 81
  • Surgery 126
  • Endocrinology, Diabetes and Metabolism 36
Replace K. Hvid-Jacobsen with:
K. Hvid-Jacobsen Denmark
H. L. Price United States
João Batista Marchesini Brazil
P. S. Withington United Kingdom
Antonio E. Pontiroli Italy
Abdullah Aldohayan Saudi Arabia
Carl W. Nohr Canada
Scott S. Malinowski United States
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Fred Datz relative to K. Hvid-Jacobsen Denmark K. Hvid-Jacobsen's profile →
Citations per field
00.5×3.3×
K. Hvid-Jacobsen · 1×
Citations per year

Countries citing papers authored by Fred Datz

Since Specialization
Citations

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

Fields of papers citing papers by Fred Datz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Datz. 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 Fred Datz. The network helps show where Fred Datz may publish in the future.

Co-authorship network

The 14 scholars most cited alongside Fred Datz, 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 Fred Datz Line = papers co-authored together Fred Datz links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 199855
2 199647
3 199533
4
Value of a 24-hour image (four-phase bone scan) in assessing osteomyelitis in patients with peripheral vascular disease.
198561
5
Assessment of skin ulcer healing capability by technetium-99m phosphate angiogram and blood-pool images.
19851
6 19843
7 1983162

About Fred Datz

Fred Datz is a scholar working on Complementary and alternative medicine, Gastroenterology, Clinical Biochemistry, Rheumatology and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 362 indexed citations. Recurring topics across this work include Orthopedic Infections and Treatments (3 papers), Cardiovascular Function and Risk Factors (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Heart Failure Treatment and Management (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Musculoskeletal synovial abnormalities and treatments (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Diabetic Foot Ulcer Assessment and Management (1 paper). The work is most often cited by research in Gastroenterology (90 citations), Cardiology and Cardiovascular Medicine (111 citations), Physiology (81 citations), Surgery (126 citations) and Endocrinology, Diabetes and Metabolism (36 citations). Fred Datz has collaborated with scholars based in United States. Frequent co-authors include Paul E. Christian, John G. Moore, Robert A. Quaife, Kirk Volkman, Edward M. Gilbert, Naomi P. Alazraki, Andrew Taylor, Peter F. Lawrence, M R Bristow and William R. Hutson. Their work appears in journals such as The American Journal of Cardiology, Digestive Diseases and Sciences, Clinical Nuclear Medicine 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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