Diego Carrella

1.1k total citations
18 papers, 639 citations indexed

About

Diego Carrella is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Diego Carrella has authored 18 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Computational Theory and Mathematics. Recurrent topics in Diego Carrella's work include Cystic Fibrosis Research Advances (4 papers), Computational Drug Discovery Methods (3 papers) and Cellular transport and secretion (3 papers). Diego Carrella is often cited by papers focused on Cystic Fibrosis Research Advances (4 papers), Computational Drug Discovery Methods (3 papers) and Cellular transport and secretion (3 papers). Diego Carrella collaborates with scholars based in Italy, United States and Germany. Diego Carrella's co-authors include Diego di Bernardo, Francesco Napolitano, Francesco Sirci, Annamaria Carissimo, Margherita Mutarelli, Michele Pinelli, Sandro Banfi, Luisa Cutillo, Mariateresa Pizzo and Marianthi Karali and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Diego Carrella

18 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Carrella Italy	13	397	107	105	101	76	18	639
Anahita Bhathena United States	16	309 0.8×	25 0.2×	54 0.5×	58 0.6×	46 0.6×	33	728
Tamiko Nishimura Canada	16	890 2.2×	25 0.2×	105 1.0×	37 0.4×	75 1.0×	24	1.1k
Maya Mamarbachi Canada	13	436 1.1×	61 0.6×	128 1.2×	14 0.1×	246 3.2×	16	914
Medi Kori Türkiye	8	274 0.7×	33 0.3×	110 1.0×	54 0.5×	47 0.6×	24	433
Zhengdeng Lei United States	12	634 1.6×	24 0.2×	117 1.1×	47 0.5×	123 1.6×	22	849
Jongmin Jacob Woo United States	17	465 1.2×	13 0.1×	85 0.8×	62 0.6×	106 1.4×	36	888
Francesco Sirci Italy	12	327 0.8×	162 1.5×	23 0.2×	83 0.8×	44 0.6×	17	511
J. Zimmer Germany	16	905 2.3×	52 0.5×	76 0.7×	27 0.3×	47 0.6×	28	1.1k
Michelle M. Monasky Italy	21	704 1.8×	24 0.2×	27 0.3×	40 0.4×	64 0.8×	59	1.3k
Yu Miyazaki Japan	17	484 1.2×	15 0.1×	153 1.5×	160 1.6×	45 0.6×	42	909

Countries citing papers authored by Diego Carrella

Since Specialization

Citations

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

Fields of papers citing papers by Diego Carrella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Carrella

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

All Works

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18 of 18 papers shown

Pinelli, Michele, et al.. (2023). Definition of the transcriptional units of inherited retinal disease genes by meta-analysis of human retinal transcriptome data. BMC Genomics. 24(1). 206–206. 3 indexed citations

Cegli, Rossella De, Diego Carrella, Gennaro Gambardella, et al.. (2022). TFEBexplorer: An integrated tool to study genes regulated by the stress-responsive Transcription Factor EB. SHILAP Revista de lepidopterología. 1(1). 295–305. 7 indexed citations

Luciani, Alessandro, Anke Schumann, Marine Berquez, et al.. (2020). Author Correction: Impaired mitophagy links mitochondrial disease to epithelial stress in methylmalonyl-CoA mutase deficiency. Nature Communications. 11(1). 1719–1719. 1 indexed citations

Luciani, Alessandro, Anke Schumann, Marine Berquez, et al.. (2020). Impaired mitophagy links mitochondrial disease to epithelial stress in methylmalonyl-CoA mutase deficiency. Nature Communications. 11(1). 970–970. 81 indexed citations

Criscuolo, Chiara, Alessandra Cianflone, Roberta Lanzillo, et al.. (2019). Glatiramer Acetate modulates ion channels expression and calcium homeostasis in B cell of patients with relapsing-remitting multiple sclerosis. Scientific Reports. 9(1). 4208–4208. 8 indexed citations

Napolitano, Francesco, Diego Carrella, Xin Gao, & Diego di Bernardo. (2019). gep2pep: a bioconductor package for the creation and analysis of pathway-based expression profiles. Bioinformatics. 36(6). 1944–1945. 8 indexed citations

Iannotti, Fabio Arturo, Ester Pagano, Ombretta Guardiola, et al.. (2018). Genetic and pharmacological regulation of the endocannabinoid CB1 receptor in Duchenne muscular dystrophy. Nature Communications. 9(1). 3950–3950. 45 indexed citations

Napolitano, Francesco, Diego Carrella, Barbara Mandriani, et al.. (2017). gene2drug: a computational tool for pathway-based rational drug repositioning. Bioinformatics. 34(9). 1498–1505. 54 indexed citations

Sirci, Francesco, Francesco Napolitano, Sandra Pisonero‐Vaquero, et al.. (2017). Comparing structural and transcriptional drug networks reveals signatures of drug activity and toxicity in transcriptional responses. npj Systems Biology and Applications. 3(1). 23–23. 15 indexed citations

10.

Karali, Marianthi, Maria Persico, Margherita Mutarelli, et al.. (2016). High-resolution analysis of the human retina miRNome reveals isomiR variations and novel microRNAs. Nucleic Acids Research. 44(4). 1525–1540. 100 indexed citations

11.

Pesce, Emanuela, Francesco Sirci, Francesco Napolitano, et al.. (2016). Evaluation of a systems biology approach to identify pharmacological correctors of the mutant CFTR chloride channel. Journal of Cystic Fibrosis. 15(4). 425–435. 12 indexed citations

12.

Scudieri, Paolo, Emanuela Caci, Marco Schiavon, et al.. (2016). Goblet Cell Hyperplasia Requires High Bicarbonate Transport To Support Mucin Release. Scientific Reports. 6(1). 36016–36016. 77 indexed citations

13.

Pinelli, Michele, Annamaria Carissimo, Luisa Cutillo, et al.. (2016). An atlas of gene expression and gene co-regulation in the human retina. Nucleic Acids Research. 44(12). 5773–5784. 49 indexed citations

14.

Carrella, Diego, Isabella Manni, Barbara Tumaini, et al.. (2016). Computational drugs repositioning identifies inhibitors of oncogenic PI3K/AKT/P70S6K-dependent pathways among FDA-approved compounds. Oncotarget. 7(37). 58743–58758. 34 indexed citations

15.

Napolitano, Francesco, Francesco Sirci, Diego Carrella, & Diego di Bernardo. (2015). Drug-set enrichment analysis: a novel tool to investigate drug mode of action. Bioinformatics. 32(2). 235–241. 49 indexed citations

16.

Parashuraman, Seetharaman, Francesco Iorio, Fabiana Ciciriello, et al.. (2015). Unravelling druggable signalling networks that control F508del-CFTR proteostasis. eLife. 4. 21 indexed citations

17.

Carrella, Diego, Francesco Napolitano, Rossella Rispoli, et al.. (2014). Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis. Bioinformatics. 30(12). 1787–1788. 59 indexed citations

18.

Mutarelli, Margherita, Veer Singh Marwah, Rossella Rispoli, et al.. (2014). A community-based resource for automatic exome variant-calling and annotation in Mendelian disorders. BMC Genomics. 15(S3). S5–S5. 16 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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