F. Virzi

1.0k citations
21 papers · 829 · h-index 11

Impact in

Papers in

F. Virzi

21 papers receiving 779 citations

Peers

F. Virzi
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 542
  • Oncology 177
  • Cell Biology 100
  • Immunology and Allergy 25
  • Pathology and Forensic Medicine 65
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Citations per year

Countries citing papers authored by F. Virzi

Since Specialization
Citations

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

Fields of papers citing papers by F. Virzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Investigations of avidin and biotin for imaging applications.
1987333
2
DTPA-coupled antibodies labeled with yttrium-90.
1985132
3
Immunodiagnosis and immunopathogenesis of the X-linked recessive lymphoproliferative syndrome.
197965
4
Technetium-99m labeling of DNA oligonucleotides.
199559
5
Directly and indirectly technetium-99m-labeled antibodies--a comparison of in vitro and animal in vivo properties.
199352
6 199439
7
Imaging osteomyelitis with streptavidin and indium-111-labeled biotin.
199628
8 199319
9 198713
10 199111
11 199510
12 19928
13
Indium-111 labeled tissue plasminogen activator
19858
14 19878
15 19898
16 19948
17 19957
18
Investigations of ascorbate for direct labeling of antibodies with technetium-99m.
19947
19 19877
20 19854

About F. Virzi

F. Virzi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cell Biology, Molecular Biology and Oncology, having authored 21 papers that have together received 829 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (16 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Medical Imaging and Pathology Studies (5 papers), Biotin and Related Studies (5 papers), Peptidase Inhibition and Analysis (3 papers), RNA and protein synthesis mechanisms (2 papers), Click Chemistry and Applications (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (542 citations), Oncology (177 citations), Cell Biology (100 citations), Immunology and Allergy (25 citations) and Pathology and Forensic Medicine (65 citations). F. Virzi has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include D.J. Hnatowich, Mary Rusckowski, P.W. Doherty, Miklos C. Fogarasi, Paul Winnard, Donald J. Hnatowich, Purtilo Dt, G Mardirossian, Takeshi Sano and Cassandra L. Smith. Their work appears in journals such as Nuclear Medicine and Biology, JAMA, Tetrahedron Letters, European Journal of Nuclear Medicine and Molecular Imaging and Bioconjugate 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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