Stefania Fedele

1.2k total citations · 1 hit paper
5 papers, 939 citations indexed

About

Stefania Fedele is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Stefania Fedele has authored 5 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cancer Research. Recurrent topics in Stefania Fedele's work include Cancer-related molecular mechanisms research (2 papers), Pluripotent Stem Cells Research (2 papers) and RNA Research and Splicing (2 papers). Stefania Fedele is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), Pluripotent Stem Cells Research (2 papers) and RNA Research and Splicing (2 papers). Stefania Fedele collaborates with scholars based in Italy, United Kingdom and Japan. Stefania Fedele's co-authors include Piero Carninci, Stefano Gustincich, Claudio Santoro, Alistair R. R. Forrest, S. Zucchelli, Stefano Biffo, Marta Biagioli, Anne Beugnet, Licio Collavin and Elia Stupka and has published in prestigious journals such as Nature, Cancer Research and Scientific Reports.

In The Last Decade

Stefania Fedele

5 papers receiving 929 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.

Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeat

2012 783 citations Claudia Carrieri, Laura Cimatti et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefania Fedele Italy	5	773	643	59	55	47	5	939
Rebecca Petri Sweden	14	608 0.8×	263 0.4×	79 1.3×	156 2.8×	73 1.6×	16	806
Rotem Ben‐Tov Perry Israel	10	551 0.7×	355 0.6×	132 2.2×	17 0.3×	28 0.6×	16	687
Michael Tackett United States	13	676 0.9×	204 0.3×	86 1.5×	49 0.9×	18 0.4×	21	886
Benjamin Renouf France	8	375 0.5×	69 0.1×	83 1.4×	50 0.9×	24 0.5×	10	545
Gabriel D. Hayes United States	7	752 1.0×	581 0.9×	30 0.5×	116 2.1×	14 0.3×	7	953
Nejc Haberman United Kingdom	15	825 1.1×	119 0.2×	32 0.5×	55 1.0×	18 0.4×	19	959
Hanae Sato United States	15	924 1.2×	81 0.1×	69 1.2×	42 0.8×	22 0.5×	22	1.1k
Laurie Kurihara United States	9	747 1.0×	79 0.1×	46 0.8×	47 0.9×	33 0.7×	13	871
Ayala Lagziel Israel	18	611 0.8×	116 0.2×	36 0.6×	31 0.6×	16 0.3×	22	1.2k
Sarah Kuhn United Kingdom	3	193 0.2×	47 0.1×	78 1.3×	84 1.5×	11 0.2×	4	522

Countries citing papers authored by Stefania Fedele

Since Specialization

Citations

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

Fields of papers citing papers by Stefania Fedele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Fedele

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

All Works

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5 of 5 papers shown

1.

Zucchelli, S., Stefania Fedele, Paolo Vatta, et al.. (2019). Antisense Transcription in Loci Associated to Hereditary Neurodegenerative Diseases. Molecular Neurobiology. 56(8). 5392–5415. 19 indexed citations

2.

Champion, Brian, et al.. (2019). Abstract 5013: NG-641: An oncolytic T-SIGn virus targeting cancer-associated fibroblasts in the stromal microenvironment of human carcinomas. Cancer Research. 79(13_Supplement). 5013–5013. 10 indexed citations

3.

Collo, Ginetta, Laura Cavalleri, Federica Bono, et al.. (2018). Ropinirole and Pramipexole Promote Structural Plasticity in Human iPSC-Derived Dopaminergic Neurons via BDNF and mTOR Signaling. Neural Plasticity. 2018. 1–15. 94 indexed citations

4.

Fedele, Stefania, Ginetta Collo, Josef Bischofberger, et al.. (2017). Expansion of human midbrain floor plate progenitors from induced pluripotent stem cells increases dopaminergic neuron differentiation potential. Scientific Reports. 7(1). 6036–6036. 33 indexed citations

5.

Carrieri, Claudia, Laura Cimatti, Marta Biagioli, et al.. (2012). Long non-coding antisense RNA controls Uchl1 translation through an embedded SINEB2 repeat. Nature. 491(7424). 454–457. 783 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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