F Skvaril

4.5k total citations
132 papers, 3.3k citations indexed

About

F Skvaril is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, F Skvaril has authored 132 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 43 papers in Radiology, Nuclear Medicine and Imaging and 39 papers in Molecular Biology. Recurrent topics in F Skvaril's work include Monoclonal and Polyclonal Antibodies Research (42 papers), Immunodeficiency and Autoimmune Disorders (36 papers) and Blood groups and transfusion (28 papers). F Skvaril is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (42 papers), Immunodeficiency and Autoimmune Disorders (36 papers) and Blood groups and transfusion (28 papers). F Skvaril collaborates with scholars based in Switzerland, United States and Netherlands. F Skvaril's co-authors include A. Morell, S Barandun, Andreas Morell, Erna van Loghem, J. Römer, Walter F. Riesen, Sonja R. Wyss, H. Aebi, Dietmar G. Braun and Arthur G. Steinberg and has published in prestigious journals such as Nature, New England Journal of Medicine and The Lancet.

In The Last Decade

F Skvaril

127 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F Skvaril Switzerland 32 1.2k 906 768 718 553 132 3.3k
P. A. Miescher Switzerland 35 2.4k 2.0× 1.3k 1.5× 916 1.2× 805 1.1× 724 1.3× 138 5.4k
Felix Milgrom United States 32 1.3k 1.1× 880 1.0× 463 0.6× 1.1k 1.5× 419 0.8× 325 4.0k
David Tak Yan Yu United States 36 2.5k 2.1× 747 0.8× 722 0.9× 737 1.0× 334 0.6× 121 4.9k
P F Piguet Switzerland 33 2.0k 1.7× 280 0.3× 549 0.7× 682 0.9× 410 0.7× 56 4.7k
Howard B. Dickler United States 26 3.3k 2.7× 1.2k 1.3× 305 0.4× 1.1k 1.6× 534 1.0× 62 5.0k
Michael M. Frank United States 29 1.5k 1.2× 390 0.4× 611 0.8× 405 0.6× 301 0.5× 70 2.6k
Abram B. Stavitsky United States 28 1.3k 1.1× 543 0.6× 192 0.3× 998 1.4× 611 1.1× 109 4.0k
R A Good United States 35 2.2k 1.8× 338 0.4× 609 0.8× 660 0.9× 454 0.8× 144 3.9k
Peter M. Lydyard United Kingdom 38 3.5k 2.9× 1.4k 1.5× 414 0.5× 1.3k 1.8× 488 0.9× 149 5.4k
Raphael H. Levey United States 23 1.6k 1.3× 603 0.7× 331 0.4× 602 0.8× 364 0.7× 49 3.3k

Countries citing papers authored by F Skvaril

Since Specialization
Citations

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

Fields of papers citing papers by F Skvaril

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Skvaril

This figure shows the co-authorship network connecting the top 25 collaborators of F Skvaril. A scholar is included among the top collaborators of F Skvaril based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F Skvaril. F Skvaril is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Morell, Andreas, Jan Eva Doran, & F Skvaril. (1990). Ontogeny of the humoral response to group A streptococcal carbohydrate: Class and IgG subclass composition of antibodies in children. European Journal of Immunology. 20(7). 1513–1517. 10 indexed citations
2.
Burckhardt, Johann Jakob, Vivi‐Anne Oxelius, Jean‐Louis Preud'homme, et al.. (1989). Immunoglobulin G Subclass Distribution in Three Human Intravenous Immunoglobulin Preparations. Vox Sanguinis. 57(1). 10–14. 13 indexed citations
3.
Skvaril, F, et al.. (1988). Clinical aspects of IgG subclasses and therapeutic implications. KARGER eBooks. 9 indexed citations
4.
Fasler, Stephan, F Skvaril, & H U Lutz. (1988). Electrophoretic properties of human IgG and its subclasses on sodium dodecyl-sulfate-polyacrylamide gel electrophoresis and immunoblots. Analytical Biochemistry. 174(2). 593–600. 33 indexed citations
5.
Rentsch, Markus, et al.. (1988). CE7, a monoclonal antibody against human neuroblastomas - results of a preclinical study. 3 indexed citations
6.
Nakagawa, Takemasa, et al.. (1987). Changes of House Dust Mite-Specific IgE, IgG and IgG Subclass Antibodies during Immunotherapy in Patients with Perennial Rhinitis. International Archives of Allergy and Immunology. 82(1). 95–99. 46 indexed citations
7.
Kaschka, Wolfgang P., George Klein, Reinhard Hilgers, & F Skvaril. (1984). Humoral immune response in Epstein-Barr virus infections. II. IgG subclass distribution in African patients with Burkitt's lymphoma and nasopharyngeal carcinoma.. PubMed. 55(1). 14–22. 5 indexed citations
8.
Wüthrich, B., et al.. (1983). IgE and IgG4 Levels in Children with Atopic Dermatitis. Dermatology. 166(5). 229–235. 14 indexed citations
9.
Baici, Antonio, et al.. (1980). Kinetics of the Different Susceptibilities of the Four Human Immunoglobulin G Subclasses to Proteolysis by Human Lysosomal Elastase. Scandinavian Journal of Immunology. 12(1). 41–51. 27 indexed citations
10.
Morell, A., R. Scherz, H Käser, & F Skvaril. (1977). EVIDENCE FOR AN ASSOCIATION BETWEEN UNCOMMON Gm PHENOTYPES AND NEUROBLASTOMA. The Lancet. 309(8001). 23–24. 20 indexed citations
11.
Skvaril, F, et al.. (1976). Ver�nderungen des x/?-Verh�ltnisses der menschlichen Serumimmunglobuline im Verlaufe der Entwicklung. Annals of Hematology. 33(4). 281–284. 9 indexed citations
12.
Riesen, Walter, et al.. (1976). Restriction of immunoglobulin heterogeneity, autoimmunity and serum protein levels in aged people.. PubMed. 26(2). 280–5. 13 indexed citations
13.
Morell, Andreas, F Skvaril, & S Barandun. (1975). IgG-Subklassen der menschlichen Immunglobuline : immunchemische, genetische, biologische und klinische Aspekte. S. Karger eBooks. 2 indexed citations
14.
Barandun, S, F Skvaril, & A Morell. (1975). Prophylaxis and treatment of diseases by means of immunoglobulins.. PubMed. 9. 39–60. 19 indexed citations
15.
Carrel, S, A. Morell, F Skvaril, & S Barandun. (1972). Human tetanus antibodies: Isolation and characterization with special reference to the IgG subclasses. FEBS Letters. 19(4). 305–307. 7 indexed citations
16.
Barandun, S, S Carrel, Heidi Gerber, et al.. (1971). [A new method for the determination and characterization of monoclonal immunoglobulins (double line method)].. PubMed. 101(26). 955–64. 5 indexed citations
17.
Morell, A., F Skvaril, Erna van Loghem, & Marjaana Kleemola. (1971). Human IgG Subclasses in Maternal and Fetal Serum. Vox Sanguinis. 21(6). 481–492. 72 indexed citations
18.
Skvaril, F & J Rádl. (1969). Quantitative estimation of human immunoglobulins. I. Estimation of IGG, IGA and IGM immunoglobulins by the method of simple radial immunodiffusion.. PubMed. 13(1). 107–17. 5 indexed citations
19.
Skvaril, F, et al.. (1965). The use of placental gamma globulins stabilized with the epsilon-aminocaproic acid for the prevention of measles. Archives of Virology. 16(1-5). 220–221. 3 indexed citations
20.

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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