Paolo Mita

2.5k total citations · 1 hit paper
27 papers, 1.3k citations indexed

About

Paolo Mita is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Paolo Mita has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Plant Science and 5 papers in Immunology. Recurrent topics in Paolo Mita's work include Chromosomal and Genetic Variations (13 papers), CRISPR and Genetic Engineering (9 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Paolo Mita is often cited by papers focused on Chromosomal and Genetic Variations (13 papers), CRISPR and Genetic Engineering (9 papers) and Advanced biosensing and bioanalysis techniques (6 papers). Paolo Mita collaborates with scholars based in United States, Italy and Spain. Paolo Mita's co-authors include Jef D. Boeke, David Fenyö, John LaCava, Kathleen H. Burns, Susan K. Logan, Susan Ha, Martin S. Taylor, David J. Kahler, Wilson McKerrow and Xiaoji Sun and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Paolo Mita

27 papers receiving 1.3k citations

Hit Papers

The role of retrotransposable elements in ageing and age-... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Mita United States 19 1.1k 656 160 111 109 27 1.3k
Danny Rangasamy Australia 19 1.6k 1.5× 464 0.7× 108 0.7× 125 1.1× 159 1.5× 32 1.8k
Sonia Verp Switzerland 15 1.6k 1.5× 402 0.6× 145 0.9× 205 1.8× 266 2.4× 19 1.8k
Claude Philippe France 15 772 0.7× 277 0.4× 113 0.7× 110 1.0× 179 1.6× 18 1.1k
Marc D. Meneghini Canada 14 2.5k 2.4× 523 0.8× 111 0.7× 127 1.1× 178 1.6× 21 2.8k
Ragnhild Eskeland Norway 20 2.1k 2.0× 298 0.5× 103 0.6× 127 1.1× 260 2.4× 35 2.3k
Alejandra Loyola Chile 19 1.8k 1.7× 233 0.4× 89 0.6× 84 0.8× 154 1.4× 32 2.0k
Cheng Ran Lisa Huang United States 10 947 0.9× 642 1.0× 66 0.4× 156 1.4× 157 1.4× 11 1.1k
Son C. Nguyen United States 20 1.2k 1.1× 336 0.5× 74 0.5× 88 0.8× 205 1.9× 36 1.3k
Mikael Sjölinder Sweden 15 899 0.9× 194 0.3× 101 0.6× 74 0.7× 253 2.3× 21 1.2k
M. Mitchell Smith United States 17 2.0k 1.9× 372 0.6× 53 0.3× 96 0.9× 136 1.2× 17 2.1k

Countries citing papers authored by Paolo Mita

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Mita

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

All Works

20 of 20 papers shown
1.
Gorbunova, Vera, Andrei Seluanov, Paolo Mita, et al.. (2021). The role of retrotransposable elements in ageing and age-associated diseases. Nature. 596(7870). 43–53. 232 indexed citations breakdown →
2.
McKerrow, Wilson, et al.. (2021). RIP-seq reveals LINE-1 ORF1p association with p-body enriched mRNAs. Mobile DNA. 12(1). 5–5. 16 indexed citations
3.
Mita, Paolo, Xiaoji Sun, David Fenyö, et al.. (2020). BRCA1 and S phase DNA repair pathways restrict LINE-1 retrotransposition in human cells. Nature Structural & Molecular Biology. 27(2). 179–191. 70 indexed citations
4.
Adney, Emily M., Srinjoy Sil, David M. Truong, et al.. (2019). Comprehensive Scanning Mutagenesis of Human Retrotransposon LINE-1 Identifies Motifs Essential for Function. Genetics. 213(4). 1401–1414. 18 indexed citations
5.
Agmon, Neta, Zuojian Tang, Tobias Schraink, et al.. (2019). Phylogenetic debugging of a complete human biosynthetic pathway transplanted into yeast. Nucleic Acids Research. 48(1). 486–499. 12 indexed citations
6.
Sun, Xiaoji, Xuya Wang, Zuojian Tang, et al.. (2018). Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression. Proceedings of the National Academy of Sciences. 115(24). E5526–E5535. 65 indexed citations
7.
Taylor, Martin S., Ilya Altukhov, Kelly R. Molloy, et al.. (2018). Dissection of affinity captured LINE-1 macromolecular complexes. eLife. 7. 53 indexed citations
8.
Boeke, Jef D., et al.. (2018). Gibson Deletion: a novel application of isothermal in vitro recombination. Biological Procedures Online. 20(1). 2–2. 4 indexed citations
9.
Ha, Susan, Paolo Mita, Gregory Brittingham, et al.. (2018). Long interspersed nuclear element-1 expression and retrotransposition in prostate cancer cells. Mobile DNA. 9(1). 1–1. 20 indexed citations
10.
Mita, Paolo, Aleksandra Wudzinska, Xiaoji Sun, et al.. (2018). LINE-1 protein localization and functional dynamics during the cell cycle. eLife. 7. 90 indexed citations
11.
Mita, Paolo & Jef D. Boeke. (2016). How retrotransposons shape genome regulation. Current Opinion in Genetics & Development. 37. 90–100. 123 indexed citations
12.
Mita, Paolo, Jeffrey N. Savas, Susan Ha, et al.. (2016). URI Regulates KAP1 Phosphorylation and Transcriptional Repression via PP2A Phosphatase in Prostate Cancer Cells. Journal of Biological Chemistry. 291(49). 25516–25528. 24 indexed citations
13.
Mita, Paolo, Tenzin Lhakhang, Donghui Li, et al.. (2016). Fluorescence ImmunoPrecipitation (FLIP): a Novel Assay for High-Throughput IP. Biological Procedures Online. 18(1). 16–16. 4 indexed citations
14.
Taylor, Martin S., John LaCava, Lixin Dai, et al.. (2016). Characterization of L1-Ribonucleoprotein Particles. Methods in molecular biology. 1400. 311–338. 18 indexed citations
15.
Rodić, Nemanja, Jared P. Steranka, Alvin P. Makohon-Moore, et al.. (2015). Retrotransposon insertions in the clonal evolution of pancreatic ductal adenocarcinoma. Nature Medicine. 21(9). 1060–1064. 100 indexed citations
16.
Taylor, Martin S., John LaCava, Paolo Mita, et al.. (2013). Affinity Proteomics Reveals Human Host Factors Implicated in Discrete Stages of LINE-1 Retrotransposition. Cell. 155(5). 1034–1048. 165 indexed citations
17.
Mita, Paolo, Jeffrey N. Savas, Susan Ha, et al.. (2013). Analysis of URI Nuclear Interaction with RPB5 and Components of the R2TP/Prefoldin-Like Complex. PLoS ONE. 8(5). e63879–e63879. 52 indexed citations
18.
Nwachukwu, J.C., Paolo Mita, Rachel Ruoff, et al.. (2009). Genome-Wide Impact of Androgen Receptor Trapped clone-27 Loss on Androgen-Regulated Transcription in Prostate Cancer Cells. Cancer Research. 69(7). 3140–3147. 23 indexed citations
19.
Sannino, Anna, Guglielmo d’Ambrosio, Rita Massa, et al.. (2006). Evaluation of Cytotoxic and Genotoxic Effects in Human Peripheral Blood Leukocytes Following Exposure to 1950-MHz Modulated Signal. IEEE Transactions on Plasma Science. 34(4). 1441–1448. 22 indexed citations
20.
Mita, Paolo, et al.. (2003). Ultrastructural analysis of apoptosis induced by apoptotic U937 cells conditioned medium. Italian Journal of Zoology. 70(2). 141–146. 7 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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