Alessandra Prada

504 total citations
8 papers, 401 citations indexed

About

Alessandra Prada is a scholar working on Molecular Biology, Biotechnology and Immunology. According to data from OpenAlex, Alessandra Prada has authored 8 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biotechnology and 2 papers in Immunology. Recurrent topics in Alessandra Prada's work include Transgenic Plants and Applications (4 papers), Plant tissue culture and regeneration (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Alessandra Prada is often cited by papers focused on Transgenic Plants and Applications (4 papers), Plant tissue culture and regeneration (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). Alessandra Prada collaborates with scholars based in United Kingdom and Spain. Alessandra Prada's co-authors include Lorenzo Frigerio, Alessandro Vitale, Pascal M. W. Drake, Patricia Obregón, Julian K‐C., Daniel Chargelegue, Maddalena de Virgilio, Franco Faoro, Neil F. Fairweather and James M. Nuttall and has published in prestigious journals such as Gastroenterology, The Plant Cell and Infection and Immunity.

In The Last Decade

Alessandra Prada

8 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandra Prada United Kingdom 6 319 247 137 98 82 8 401
Christine Wandelt Germany 12 388 1.2× 173 0.7× 200 1.5× 32 0.3× 52 0.6× 15 504
Nicholas A. Jolliffe United Kingdom 9 295 0.9× 213 0.9× 169 1.2× 161 1.6× 208 2.5× 10 479
Sigrun Hippe Germany 9 201 0.6× 144 0.6× 179 1.3× 45 0.5× 48 0.6× 15 325
Jan Demolder Belgium 7 216 0.7× 76 0.3× 99 0.7× 72 0.7× 64 0.8× 10 301
Jane L. Hadlington United Kingdom 7 368 1.2× 162 0.7× 217 1.6× 209 2.1× 54 0.7× 8 486
Milan Osusky Canada 11 345 1.1× 178 0.7× 172 1.3× 19 0.2× 41 0.5× 17 500
Rosario Cueva Spain 10 387 1.2× 52 0.2× 92 0.7× 263 2.7× 19 0.2× 19 585
J. G. M. Hessing Netherlands 7 254 0.8× 89 0.4× 76 0.6× 57 0.6× 17 0.2× 8 321
Alexander Steiner Germany 9 514 1.6× 57 0.2× 168 1.2× 106 1.1× 11 0.1× 10 611
Hyangju Kang South Korea 11 338 1.1× 74 0.3× 222 1.6× 154 1.6× 27 0.3× 24 467

Countries citing papers authored by Alessandra Prada

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Prada

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

All Works

8 of 8 papers shown
1.
Obregón, Patricia, Daniel Chargelegue, Pascal M. W. Drake, et al.. (2005). HIV‐1 p24–immunoglobulin fusion molecule: a new strategy for plant‐based protein production. Plant Biotechnology Journal. 4(2). 195–207. 70 indexed citations
2.
Chargelegue, Daniel, Pascal M. W. Drake, Patricia Obregón, et al.. (2005). Highly Immunogenic and Protective Recombinant Vaccine Candidate Expressed in Transgenic Plants. Infection and Immunity. 73(9). 5915–5922. 61 indexed citations
3.
K‐C., Julian, Pascal M. W. Drake, Daniel Chargelegue, Patricia Obregón, & Alessandra Prada. (2004). Antibody processing and engineering in plants, and new strategies for vaccine production. Vaccine. 23(15). 1814–1818. 48 indexed citations
4.
Frigerio, Lorenzo, et al.. (2001). Influence of KDEL on the Fate of Trimeric or Assembly-Defective Phaseolin: Selective Use of an Alternative Route to Vacuoles. The Plant Cell. 13(5). 1109–1126. 73 indexed citations
5.
Frigerio, Lorenzo, et al.. (2001). Influence of KDEL on the Fate of Trimeric or Assembly-Defective Phaseolin: Selective Use of an Alternative Route to Vacuoles. The Plant Cell. 13(5). 1109–1109. 3 indexed citations
6.
Frigerio, Lorenzo, Maddalena de Virgilio, Alessandra Prada, Franco Faoro, & Alessandro Vitale. (1998). Sorting of Phaseolin to the Vacuole Is Saturable and Requires a Short C-Terminal Peptide. The Plant Cell. 10(6). 1031–1031. 7 indexed citations
7.
Prada, Alessandra, et al.. (1998). Diagnosis of Helicobacter pylori infection by detection of antigens in stool specimens. Gastroenterology. 114. A260–A260. 1 indexed citations
8.
Frigerio, Lorenzo, Maddalena de Virgilio, Alessandra Prada, Franco Faoro, & Alessandro Vitale. (1998). Sorting of Phaseolin to the Vacuole Is Saturable and Requires a Short C-Terminal Peptide. The Plant Cell. 10(6). 1031–1042. 138 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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