Piero Sanfilippo

1.9k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Piero Sanfilippo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Piero Sanfilippo has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cancer Research. Recurrent topics in Piero Sanfilippo's work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Piero Sanfilippo is often cited by papers focused on RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Piero Sanfilippo collaborates with scholars based in United States, Japan and Australia. Piero Sanfilippo's co-authors include Eric C. Lai, Pedro Miura, Sol Shenker, Brian Joseph, Brenton R. Graveley, Sara Olson, S Celniker, Jakub Orzechowski Westholm, S Lawrence Zipursky and Yerbol Z. Kurmangaliyev and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Piero Sanfilippo

15 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-wide Analysis of Drosophila Circular RNAs Reveals Their Structural and Sequence Properties and Age-Dependent Neural Accumulation

2014 774 citations Jakub Orzechowski Westholm, Pedro Miura et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Piero Sanfilippo United States	11	1.1k	696	138	80	53	15	1.3k
Stephanie Y. Vernooy United States	5	1.0k 0.9×	613 0.9×	80 0.6×	67 0.8×	189 3.6×	7	1.3k
C. Steven Carmack United States	14	655 0.6×	398 0.6×	66 0.5×	100 1.3×	35 0.7×	16	883
Paweł Lis United Kingdom	17	766 0.7×	159 0.2×	176 1.3×	95 1.2×	48 0.9×	33	1.7k
Marta Olejniczak Poland	20	915 0.8×	251 0.4×	325 2.4×	88 1.1×	55 1.0×	32	1.1k
Mona Batish United States	20	1.0k 0.9×	334 0.5×	26 0.2×	82 1.0×	115 2.2×	49	1.3k
Juergen Brosius Germany	16	949 0.9×	302 0.4×	75 0.5×	157 2.0×	72 1.4×	31	1.1k
Anna L. McLoon United States	10	697 0.6×	169 0.2×	115 0.8×	315 3.9×	28 0.5×	17	892
Anna Iacoangeli United States	12	782 0.7×	363 0.5×	52 0.4×	157 2.0×	45 0.8×	24	955
Tyler Matheny United States	12	1.8k 1.6×	125 0.2×	55 0.4×	51 0.6×	116 2.2×	12	1.9k
Mary Luz Arcila United States	13	625 0.6×	199 0.3×	37 0.3×	100 1.3×	62 1.2×	14	832

Countries citing papers authored by Piero Sanfilippo

Since Specialization

Citations

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

Fields of papers citing papers by Piero Sanfilippo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piero Sanfilippo

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

All Works

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15 of 15 papers shown

Vaccari, Andrea, Fangming Xie, Piero Sanfilippo, et al.. (2025). Molecular gradients shape synaptic specificity of a visuomotor transformation. Nature. 644(8076). 453–462. 2 indexed citations

Sanfilippo, Piero, Alexander Kim, Anuradha Bhukel, et al.. (2024). Mapping of multiple neurotransmitter receptor subtypes and distinct protein complexes to the connectome. Neuron. 112(6). 942–958.e13. 10 indexed citations

Sanfilippo, Piero, et al.. (2024). Constitutive and Conditional Epitope Tagging of Endogenous G-Protein–Coupled Receptors in Drosophila. Journal of Neuroscience. 44(33). e2377232024–e2377232024. 7 indexed citations

Peek, Martin Y., Jin-Yong Park, Andrea Vaccari, et al.. (2023). Synaptic gradients transform object location to action. Nature. 613(7944). 534–542. 22 indexed citations

Lü, Wei, Seungjae Lee, Sonali Majumdar, et al.. (2020). Overlapping Activities of ELAV/Hu Family RNA Binding Proteins Specify the Extended Neuronal 3′ UTR Landscape in Drosophila. Molecular Cell. 80(1). 140–155.e6. 38 indexed citations

Kurmangaliyev, Yerbol Z., Juyoun Yoo, Javier Valdés-Alemán, Piero Sanfilippo, & S Lawrence Zipursky. (2020). Transcriptional Programs of Circuit Assembly in the Drosophila Visual System. Neuron. 108(6). 1045–1057.e6. 82 indexed citations

Sanfilippo, Piero, Pedro Miura, & Eric C. Lai. (2017). Genome-wide profiling of the 3' ends of polyadenylated RNAs. Methods. 126. 86–94. 17 indexed citations

Sanfilippo, Piero, Jiayu Wen, & Eric C. Lai. (2017). Landscape and evolution of tissue-specific alternative polyadenylation across Drosophila species. Genome biology. 18(1). 229–229. 44 indexed citations

Lin, Ching‐Jung, Jiayu Wen, Fernando Bejarano, et al.. (2016). Characterization of a TUTase/RNase complex required for Drosophila gametogenesis. RNA. 23(3). 284–296. 10 indexed citations

10.

Sanfilippo, Piero, Peter Smibert, Hong Duan, & Eric C. Lai. (2016). Neural specificity of the RNA-binding protein Elav is achieved by post-transcriptional repression in non-neural tissues. Development. 143(23). 4474–4485. 15 indexed citations

11.

Bejarano, Fernando, Piero Sanfilippo, David M. Tyler, et al.. (2014). Homeotic Function of Drosophila Bithorax-Complex miRNAs Mediates Fertility by Restricting Multiple Hox Genes and TALE Cofactors in the CNS. Developmental Cell. 29(6). 635–648. 36 indexed citations

12.

Westholm, Jakub Orzechowski, Pedro Miura, Sara Olson, et al.. (2014). Genome-wide Analysis of Drosophila Circular RNAs Reveals Their Structural and Sequence Properties and Age-Dependent Neural Accumulation. Cell Reports. 9(5). 1966–1980. 774 indexed citations breakdown →

13.

Shenker, Sol, Pedro Miura, Piero Sanfilippo, & Eric C. Lai. (2014). IsoSCM: improved and alternative 3′ UTR annotation using multiple change-point inference. RNA. 21(1). 14–27. 46 indexed citations

14.

Miura, Pedro, Piero Sanfilippo, Sol Shenker, & Eric C. Lai. (2014). Alternative polyadenylation in the nervous system: To what lengths will 3′ UTR extensions take us?. BioEssays. 36(8). 766–777. 49 indexed citations

15.

Wilks, Jessica, Piero Sanfilippo, Elizabeth Yohannes, et al.. (2006). Oxygen limitation modulates pH regulation of catabolism and hydrogenases, multidrug transporters, and envelope composition in Escherichia coli K-12. BMC Microbiology. 6(1). 89–89. 115 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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