Silvia Naitza

10.0k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Silvia Naitza is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Silvia Naitza has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Silvia Naitza's work include Invertebrate Immune Response Mechanisms (5 papers), Herpesvirus Infections and Treatments (2 papers) and Toxoplasma gondii Research Studies (2 papers). Silvia Naitza is often cited by papers focused on Invertebrate Immune Response Mechanisms (5 papers), Herpesvirus Infections and Treatments (2 papers) and Toxoplasma gondii Research Studies (2 papers). Silvia Naitza collaborates with scholars based in Italy, United Kingdom and United States. Silvia Naitza's co-authors include Andrea Crisanti, Jules A. Hoffmann, Philippe Georgel, Christine Kappler, Jean‐Marc Reichhart, Candace Swimmer, Daniel Zachary, Casey Kopczynski, Geoffrey M. Duyk and Dominique Ferrandon and has published in prestigious journals such as Immunity, Journal of Bacteriology and Developmental Cell.

In The Last Decade

Silvia Naitza

15 papers receiving 1.3k citations

Hit Papers

Drosophila Immune Deficiency (IMD) Is a Death Domain Prot... 2001 2026 2009 2017 2001 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Drosophila Immune Deficiency (IMD) Is a Death Domain Protein that Activates Antibacterial Defense and Can Promote Apoptosis
    2001 355 citations Philippe Georgel, Silvia Naitza et al. Developmental Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Naitza Italy 15 543 310 309 197 168 15 1.3k
Kathleen W. Schleifer United States 9 503 0.9× 169 0.5× 177 0.6× 130 0.7× 196 1.2× 9 1.2k
Christiane Hilger Luxembourg 29 151 0.3× 377 1.2× 93 0.3× 56 0.3× 149 0.9× 90 2.3k
Takahide Taniguchi Japan 24 219 0.4× 413 1.3× 32 0.1× 82 0.4× 214 1.3× 108 1.8k
Yuki Eshita Japan 24 128 0.2× 344 1.1× 214 0.7× 113 0.6× 670 4.0× 83 1.3k
Walter Maier Germany 24 153 0.3× 265 0.9× 237 0.8× 453 2.3× 579 3.4× 68 1.4k
José Roberto da Silva Brazil 16 85 0.2× 220 0.7× 231 0.7× 141 0.7× 290 1.7× 56 813
Alan G. Goodman United States 20 503 0.9× 620 2.0× 106 0.3× 45 0.2× 195 1.2× 47 1.6k
Ann-Sofie Eriksson Sweden 14 79 0.1× 936 3.0× 205 0.7× 490 2.5× 108 0.6× 23 1.8k
Antonio Bosco Italy 29 169 0.3× 145 0.5× 83 0.3× 691 3.5× 115 0.7× 131 2.6k
Peter Hindersson Denmark 23 351 0.6× 715 2.3× 94 0.3× 501 2.5× 172 1.0× 68 2.4k

Countries citing papers authored by Silvia Naitza

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Naitza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Naitza

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Naitza. A scholar is included among the top collaborators of Silvia Naitza 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 Silvia Naitza. Silvia Naitza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Kuś, Aleksander, Konrad Szymañski, Robin P. Peeters, et al.. (2014). The association of thyroid peroxidase antibody risk loci with susceptibility to and phenotype of Graves' disease. Clinical Endocrinology. 83(4). 556–562. 27 indexed citations
2.
Sutin, Angelina R., Antonio Terracciano, Barbara Deiana, et al.. (2009). High Neuroticism and low Conscientiousness are associated with interleukin-6. Psychological Medicine. 40(9). 1485–1493. 184 indexed citations
3.
Sanna, Serena, Fabio Busonero, Andrea Maschio, et al.. (2009). Common variants in the SLCO1B3 locus are associated with bilirubin levels and unconjugated hyperbilirubinemia. Human Molecular Genetics. 18(14). 2711–2718. 98 indexed citations
4.
Terracciano, Antonio, Lenuta Balaci, Luigi Ferrucci, et al.. (2009). Variants of the serotonin transporter gene and NEO‐PI‐R Neuroticism: No association in the BLSA and SardiNIA samples. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 150B(8). 1070–1077. 32 indexed citations
5.
Naitza, Silvia & Petros Ligoxygakis. (2003). Antimicrobial defences in Drosophila: the story so far. Molecular Immunology. 40(12). 887–896. 50 indexed citations
6.
Naitza, Silvia, Carine Rossé, Christine Kappler, et al.. (2002). The Drosophila Immune Defense against Gram-Negative Infection Requires the Death Protein dFADD. Immunity. 17(5). 575–581. 126 indexed citations
7.
Reichhart, Jean‐Marc, et al.. (2002). Splice‐activated UAS hairpin vector gives complete RNAi knockout of single or double target transcripts in drosophila melanogaster. genesis. 34(1-2). 160–164. 33 indexed citations
8.
Georgel, Philippe, Silvia Naitza, Christine Kappler, et al.. (2001). Drosophila Immune Deficiency (IMD) Is a Death Domain Protein that Activates Antibacterial Defense and Can Promote Apoptosis. Developmental Cell. 1(4). 503–514. 355 indexed citations breakdown →
9.
10.
Cristina, Manlio Di, Clemens H. M. Kocken, Silvia Naitza, et al.. (1999). TransformedToxoplasma gondiiTachyzoites Expressing the Circumsporozoite Protein ofPlasmodium knowlesiElicit a Specific Immune Response in Rhesus Monkeys. Infection and Immunity. 67(4). 1677–1682. 22 indexed citations
11.
Dolo, Amagana, David Modiano, O Doumbo, et al.. (1999). Thrombospondin related adhesive protein (TRAP), a potential malaria vaccine candidate.. PubMed. 41(1-3). 425–8. 20 indexed citations
12.
13.
Naitza, Silvia, Furio Spano, Kathryn Robson, & Andrea Crisanti. (1998). The Thrombospondin-related Protein Family of Apicomplexan Parasites: The Gears of the Cell Invasion Machinery. Parasitology Today. 14(12). 479–484. 62 indexed citations
14.
Robson, Kathryn, Silvia Naitza, Guy C. Barker, Robert E. Sinden, & Andrea Crisanti. (1997). Cloning and expression of the thrombospondin related adhesive protein gene of Plasmodium berghei1Note: GenBank submission number: U677631. Molecular and Biochemical Parasitology. 84(1). 1–12. 40 indexed citations
15.
Colonna, Bianca, Mariassunta Casalino, Carlo Zagaglia, et al.. (1995). H-NS regulation of virulence gene expression in enteroinvasive Escherichia coli harboring the virulence plasmid integrated into the host chromosome. Journal of Bacteriology. 177(16). 4703–4712. 59 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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