Denise Ferrera

1.3k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Denise Ferrera is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Denise Ferrera has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Denise Ferrera's work include Immune Cell Function and Interaction (3 papers), Nuclear Structure and Function (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Denise Ferrera is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Nuclear Structure and Function (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Denise Ferrera collaborates with scholars based in Italy, Canada and Switzerland. Denise Ferrera's co-authors include Anna Rubartelli, Lavinia Vittoria Lotti, Cristina Andrei, Marco E. Bianchi, Maria Rosaria Torrisi, Claudio Canale, Laura Gasparini, Fabio Grassi, Simona Porcellini and Stylianos E. Antonarakis and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and The FASEB Journal.

In The Last Decade

Denise Ferrera

7 papers receiving 990 citations

Hit Papers

The nuclear protein HMGB1 is secreted by monocytes via a ... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denise Ferrera Italy 6 475 466 390 92 86 7 1.0k
O.P. Ilyinskaya Russia 12 179 0.4× 360 0.8× 254 0.7× 41 0.4× 70 0.8× 20 806
Hanna Janicki Germany 10 192 0.4× 732 1.6× 149 0.4× 33 0.4× 100 1.2× 12 1.6k
Everett G. Robert United States 7 264 0.6× 1.4k 3.0× 87 0.2× 151 1.6× 274 3.2× 10 1.7k
Liyan Fan United States 13 91 0.2× 437 0.9× 207 0.5× 29 0.3× 84 1.0× 16 713
Yuka Eura Japan 11 364 0.8× 1.2k 2.6× 71 0.2× 187 2.0× 213 2.5× 18 1.4k
J. Thomas Cribbs United States 12 292 0.6× 1.4k 3.0× 73 0.2× 201 2.2× 225 2.6× 12 1.6k
Tze-Tze Liu Taiwan 17 299 0.6× 459 1.0× 27 0.1× 48 0.5× 70 0.8× 38 887
Miao Feng United States 16 105 0.2× 1.3k 2.8× 221 0.6× 51 0.6× 93 1.1× 23 1.9k
Erminia Di Pietro Canada 15 92 0.2× 725 1.6× 71 0.2× 91 1.0× 108 1.3× 23 886
Svetlana M. Nabokina United States 20 97 0.2× 331 0.7× 158 0.4× 262 2.8× 35 0.4× 36 981

Countries citing papers authored by Denise Ferrera

Since Specialization
Citations

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

Fields of papers citing papers by Denise Ferrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Ferrera

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

All Works

7 of 7 papers shown
1.
Giorgio, Elisa, Daniel Robyr, Malte Spielmann, et al.. (2015). A large genomic deletion leads to enhancer adoption by the lamin B1 gene: a second path to autosomal dominant adult-onset demyelinating leukodystrophy (ADLD). Human Molecular Genetics. 24(11). 3143–3154. 103 indexed citations
2.
Ferrera, Denise, et al.. (2014). Resting microglia react to Aβ42 fibrils but do not detect oligomers or oligomer-induced neuronal damage. Neurobiology of Aging. 35(11). 2444–2457. 31 indexed citations
3.
Ferrera, Denise, Claudio Canale, Roberto Marotta, et al.. (2014). Lamin B1 overexpression increases nuclear rigidity in autosomal dominant leukodystrophy fibroblasts. The FASEB Journal. 28(9). 3906–3918. 58 indexed citations
4.
Ferrera, Denise, Maddalena Panigada, Simona Porcellini, & Fabio Grassi. (2008). Recombinase‐deficient T cell development by selective accumulation of CD3 into lipid rafts. European Journal of Immunology. 38(4). 1148–1156. 6 indexed citations
5.
Porcellini, Simona, Elisabetta Traggiai, Ursula Schenk, et al.. (2006). Regulation of peripheral T cell activation by calreticulin. The Journal of Cell Biology. 172(5). i11–i11. 1 indexed citations
6.
Porcellini, Simona, Elisabetta Traggiai, Ursula Schenk, et al.. (2006). Regulation of peripheral T cell activation by calreticulin. The Journal of Experimental Medicine. 203(2). 461–471. 39 indexed citations
7.
Andrei, Cristina, Denise Ferrera, Lavinia Vittoria Lotti, et al.. (2002). The nuclear protein HMGB1 is secreted by monocytes via a non‐classical, vesicle‐mediated secretory pathway. EMBO Reports. 3(10). 995–1001. 765 indexed citations breakdown →

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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