Fernando de Noronha

909 total citations
33 papers, 737 citations indexed

About

Fernando de Noronha is a scholar working on Genetics, Epidemiology and Immunology. According to data from OpenAlex, Fernando de Noronha has authored 33 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Epidemiology and 9 papers in Immunology. Recurrent topics in Fernando de Noronha's work include Virus-based gene therapy research (18 papers), HIV Research and Treatment (6 papers) and Animal Virus Infections Studies (6 papers). Fernando de Noronha is often cited by papers focused on Virus-based gene therapy research (18 papers), HIV Research and Treatment (6 papers) and Animal Virus Infections Studies (6 papers). Fernando de Noronha collaborates with scholars based in United States, Germany and Brazil. Fernando de Noronha's co-authors include Werner Schäfer, Dani P. Bolognesi, Carol A. Roneker, Luís Tavares, Gerhard Hunsmann, Karen M. Johnston, Sandra Nusinoff Lehrman, Robert W. Green, Liselotte Pister and Max Essex and has published in prestigious journals such as Nature, JNCI Journal of the National Cancer Institute and Virology.

In The Last Decade

Fernando de Noronha

33 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando de Noronha United States 14 288 274 217 211 161 33 737
Austin E. Larsen United States 14 171 0.6× 483 1.8× 20 0.1× 136 0.6× 412 2.6× 19 863
O. Jarrett United Kingdom 21 596 2.1× 700 2.6× 599 2.8× 243 1.2× 199 1.2× 38 1.2k
R. M. Jakowski United States 16 162 0.6× 197 0.7× 61 0.3× 147 0.7× 65 0.4× 45 635
S. Ghim United States 11 669 2.3× 192 0.7× 68 0.3× 343 1.6× 65 0.4× 18 879
Joel D. Rosenthal United States 11 391 1.4× 152 0.6× 57 0.3× 134 0.6× 109 0.7× 15 706
Frances J. Palmer‐Hill United States 8 878 3.0× 240 0.9× 97 0.4× 366 1.7× 217 1.3× 8 1.3k
Thandavarayan Nagashunmugam United States 14 313 1.1× 79 0.3× 222 1.0× 199 0.9× 114 0.7× 25 624
Paul Moore United States 10 82 0.3× 175 0.6× 87 0.4× 254 1.2× 128 0.8× 18 826
L A Borenstein United States 15 422 1.5× 155 0.6× 74 0.3× 246 1.2× 95 0.6× 20 806
Christian E. Lange United States 18 530 1.8× 109 0.4× 49 0.2× 26 0.1× 102 0.6× 47 809

Countries citing papers authored by Fernando de Noronha

Since Specialization
Citations

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

Fields of papers citing papers by Fernando de Noronha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando de Noronha. 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 Fernando de Noronha. The network helps show where Fernando de Noronha may publish in the future.

Co-authorship network of co-authors of Fernando de Noronha

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando de Noronha. A scholar is included among the top collaborators of Fernando de Noronha 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 Fernando de Noronha. Fernando de Noronha 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.
Alves, Gutemberg Gomes, et al.. (2018). In vitro cytotoxicity of dental adhesives: A systematic review. Dental Materials. 35(2). 195–205. 47 indexed citations
2.
Scelza, Míriam Zaccaro, et al.. (2016). Effect of Citric Acid and Ethylenediaminetetraacetic Acid on the Surface Morphology of Young and Old Root Dentin.. PubMed. 11(3). 188–91. 5 indexed citations
3.
Noronha, Fernando de, et al.. (2011). Evaluation of compressive strength in the first premolars between young and elderly people: ex vivo study. Gerodontology. 29(2). e898–901. 6 indexed citations
4.
Marino, Celso Luís, et al.. (2008). A simple protocol for a low invasive DNA accessing in Stenella longirostris (Cetacea: Delphinidae). Americanae (AECID Library). 130–134. 4 indexed citations
5.
Rodríguez-Barbosa, José-Ignacio, et al.. (1995). Characterization of monoclonal antibodies to O-antigen of lipopolysaccharide ofActinobacillus pleuropneumoniaeserotype 2 and their use in the classification of field isolates. FEMS Immunology & Medical Microbiology. 11(1). 35–44. 3 indexed citations
6.
Jacob, James R., Rui Hai Liu, Carol A. Roneker, et al.. (1994). Characterization and Immortalization of Woodchuck Hepatocytes Isolated from Normal and Hepadnavirus-Infected Woodchucks (Marmota monax). Experimental Cell Research. 212(1). 42–48. 7 indexed citations
7.
Côté, Paul J., Carol A. Roneker, F. Schödel, et al.. (1993). New Enzyme Immunoassays for the Serologic Detection of Woodchuck Hepatitis Virus Infection. Viral Immunology. 6(2). 161–169. 54 indexed citations
8.
Fevereiro, Miguel, Carol A. Roneker, & Fernando de Noronha. (1991). Antibody Response to Reverse Transcriptase in Cats Infected with Feline Immunodeficiency Virus. Viral Immunology. 4(4). 225–235. 4 indexed citations
9.
Tavares, Luís, et al.. (1991). Anti-Idiotypic Antibodies to Feline Leukemia Virus: An Approach for Retroviral Immunization Strategies. Viral Immunology. 4(1). 5–16. 3 indexed citations
10.
11.
Tavares, Luís, et al.. (1989). Testing of Nucleoside Analogues in Cats Infected with Feline Leukemia Virus: A Model. Intervirology. 30(1). 26–35. 10 indexed citations
12.
Tavares, Luís, Carol A. Roneker, Karen M. Johnston, Sandra Nusinoff Lehrman, & Fernando de Noronha. (1987). 3'-Azido-3'-deoxythymidine in feline leukemia virus-infected cats: a model for therapy and prophylaxis of AIDS.. PubMed. 47(12). 3190–4. 110 indexed citations
13.
Lee, T. H., Max Essex, Fernando de Noronha, & José Azócar. (1982). Neutralization of feline leukemia virus with feline antisera to leukocyte alloantigens.. PubMed. 42(10). 3995–9. 21 indexed citations
14.
15.
Grant, Chris K., Daniel T. Harris, Max Essex, et al.. (1980). Protection of Cats Against Feline Leukemia Virus-Positive and Virus-Negative Tumors by Complement-Dependent Antibody23. JNCI Journal of the National Cancer Institute. 64(6). 1527–1533. 12 indexed citations
16.
Noronha, Fernando de, et al.. (1978). Influence of antisera to oncornavirus glycoprotein (gp71) on infections of cats with feline leukemia virus. Virology. 85(2). 617–621. 37 indexed citations
17.
Schäfer, Werner, Dani P. Bolognesi, Fernando de Noronha, et al.. (1977). Immuno-prophylaxis and -therapy of C-type oncorna viral diseases in mice and cats. Medical Microbiology and Immunology. 164(1-3). 217–229. 8 indexed citations
18.
Schäfer, Werner & Fernando de Noronha. (1971). A Test System for Identification of the Antigen Shared by Leukemia Viruses of the Cat and Other Mammalian Species. Journal of the American Veterinary Medical Association. 158(6). 1092–1098. 7 indexed citations
19.
Schäfer, Werner, et al.. (1971). Isolation and characterization of two group-specific antigens from feline leukemia virus. Virology. 44(1). 73–82. 32 indexed citations
20.
Noronha, Fernando de, et al.. (1960). Durée de la survie des Brucella dans le fromage de Roquefort. Bulletin de l Académie vétérinaire de France. 113(8). 469–473. 2 indexed citations

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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