Fernanda Langellotto

698 total citations
11 papers, 180 citations indexed

About

Fernanda Langellotto is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Fernanda Langellotto has authored 11 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Fernanda Langellotto's work include Chronic Lymphocytic Leukemia Research (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Fernanda Langellotto is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Fernanda Langellotto collaborates with scholars based in United States, Italy and Switzerland. Fernanda Langellotto's co-authors include Shan Ma, Claudio Punzo, Aditya Venkatesh, Guangping Gao, Monica Gostissa, Claudia Voena, Leng-Siew Yeap, Mara Compagno, Jennifer R. Brown and Fei‐Long Meng and has published in prestigious journals such as Nature, Blood and Cancer Research.

In The Last Decade

Fernanda Langellotto

11 papers receiving 178 citations

Peers

Fernanda Langellotto

GENET

IMMUN

PFM

GENET

Robert Y Wilpan United States

Xiushan Wu China

Thien N. Sam United States

Kristen M. Coakley United States

Kateřina Amruz Černá Czechia

Sabine Gijsen Netherlands

Alok Swaroop United States

Stefano Pravato Italy

Brynelle Myers United Kingdom

Nicholas Stong United States

Robert Y Wilpan United States

Fernanda Langellotto

229 ×2.1

14 ×0.2

GENET

51 ×1.0

IMMUN

14 ×0.4

PFM

33 ×1.5

GENET

Citations per year, relative to Fernanda Langellotto Fernanda Langellotto (= 1×) peers Robert Y Wilpan

Countries citing papers authored by Fernanda Langellotto

Since Specialization

Citations

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

Fields of papers citing papers by Fernanda Langellotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernanda Langellotto

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

All Works

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11 of 11 papers shown

Langellotto, Fernanda, et al.. (2025). Abstract 3476: A single intratumoral injection of IL-12 bound to mesoporous silica rods generates effective anti-tumor immune responses and tumor growth control in multiple syngeneic tumor models. Cancer Research. 85(8_Supplement_1). 3476–3476. 1 indexed citations

Fortunato, Antonio Emidio, Alessandra Gentile, Fernanda Langellotto, et al.. (2019). Characterization of paralogous uncx transcription factor encoding genes in zebrafish. Gene. 721. 100011–100011. 9 indexed citations

Langellotto, Fernanda, Maria Fiorentino, Elena De Felice, et al.. (2018). Expression of meis and hoxa11 in dipnoan and teleost fins provides new insights into the evolution of vertebrate appendages. EvoDevo. 9(1). 11–11. 9 indexed citations

Compagno, Mara, Taek-Chin Cheong, Teresa Poggio, et al.. (2017). FBXO11 Is Recurrently Mutated in Burkitt Lymphoma and Its Inactivation Accelerates Lymphomagenesis in Eμ-Myc mice. Blood. 130. 1219. 1 indexed citations

Compagno, Mara, Qi Wang, Taek-Chin Cheong, et al.. (2017). Phosphatidylinositol 3-kinase δ blockade increases genomic instability in B cells. Nature. 542(7642). 489–493. 92 indexed citations

Compagno, Mara, Taek-Chin Cheong, Teresa Poggio, et al.. (2017). Abstract PR10: FBXO11 is recurrently mutated in Burkitt lymphoma and its inactivation accelerates lymphomagenesis in Eμ-myc mice. Clinical Cancer Research. 23(24_Supplement). PR10–PR10. 1 indexed citations

Ma, Shan, Aditya Venkatesh, Fernanda Langellotto, et al.. (2015). Loss of mTOR signaling affects cone function, cone structure and expression of cone specific proteins without affecting cone survival. Experimental Eye Research. 135. 1–13. 28 indexed citations

Compagno, Mara, Qi Wang, Fei‐Long Meng, et al.. (2015). PI3Kdelta Inhibitors Increase Genomic Instability By Upregulating Aid Expression. Blood. 126(23). 164–164. 1 indexed citations

Venkatesh, Aditya, Shan Ma, Fernanda Langellotto, Guangping Gao, & Claudio Punzo. (2013). Retinal Gene Delivery by rAAV and DNA Electroporation. Current Protocols in Microbiology. 28(1). Unit 14D.4–Unit 14D.4. 30 indexed citations

10.

Fortunato, Antonio Emidio, Fernanda Langellotto, & Paolo Sordino. (2011). Identification and expression of soul/p22HBP genes in zebrafish. Gene Expression Patterns. 11(5-6). 360–369. 3 indexed citations

11.

Lucini, Carla, et al.. (2010). Distribution of glial cell line‐derived neurotrophic factor receptor alpha‐1 in the brain of adult zebrafish. Journal of Anatomy. 217(2). 174–185. 5 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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