Verna Frasca

1.9k citations
16 papers · 1.6k · 1 hit paper · h-index 12

Impact in

Papers in

Verna Frasca

16 papers receiving 1.5k citations

Verna Frasca's Hit Papers

Distribution of the folate receptor GP38 in normal and malignant cell lines and tissues. 1992 · 889 citations
8890+11+22Years since publication250500750

Peers

Verna Frasca
Comparison fields: 5 of 98
  • Biomaterials 344
  • Rheumatology 316
  • Molecular Biology 793
  • Oncology 227
  • Radiology, Nuclear Medicine and Imaging 183
Replace Susan Wang with:
Susan Wang United States
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Joseph A. Reddy United States
Nikki Parker United States
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Walter A. Henne United States
Derek D. Doorneweerd United States
Mary J. Bossard United States
Sumith A. Kularatne United States
Yojiro Maehata Japan
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Citations per year

Countries citing papers authored by Verna Frasca

Since Specialization
Citations

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

Fields of papers citing papers by Verna Frasca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Distribution of the folate receptor GP38 in normal and malignant cell lines and tissues.
Hit paper breakdown →
1992889
2
Cloning of a tumor-associated antigen: MOv18 and MOv19 antibodies recognize a folate-binding protein.
1991269
3 199081
4 200264
5 198653
6 198652
7 198845
8 200927
9 200024
10 200620
11 201319
12 199918
13 20169
14 19986
15 20164
16 20111

About Verna Frasca

Verna Frasca is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Rheumatology, Infectious Diseases and Oncology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein purification and stability (6 papers), thermodynamics and calorimetric analyses (5 papers), Folate and B Vitamins Research (4 papers), Lipid Membrane Structure and Behavior (3 papers), Porphyrin Metabolism and Disorders (3 papers), Enzyme Structure and Function (2 papers), Metabolism and Genetic Disorders (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Biomaterials (344 citations), Rheumatology (316 citations), Molecular Biology (793 citations), Oncology (227 citations) and Radiology, Nuclear Medicine and Imaging (183 citations). Verna Frasca has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Leslie R. Coney, V R Zurawski, Steven Weitman, Richard H. Lark, Daniel W. Fort, B A Kamen, Rowena G. Matthews, Barton A. Kamen, Vincent R. Zurawski and Antonella Tomassetti. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Virology, Combinatorial Chemistry & High Throughput Screening and Assay and Drug Development Technologies.

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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