Elena Prosperini

4.8k citations
26 papers · 3.7k indexed · 3 hit papers · h-index 19

Elena Prosperini

25 papers receiving 3.6k citations

Hit Papers

Latent Enhancers Activated by Stimulation in...6022001202620092017250500750

Peers

Elena Prosperini
Comparison fields: 5 of 116
  • Immunology 982
  • Molecular Biology 2.8k
  • Oncology 855
  • Cancer Research 455
  • Developmental Neuroscience 57
Replace Lyndsay M. Murrow with:
Lyndsay M. Murrow United States
Justin Wong Australia
Fukun Guo United States
Amy S. Weinmann United States
Joshua D. Stender United States
Gaetano Romano United States
Maria Grazia Totaro Italy
Ézéquiel Calvo Canada
Ana M. Zubiaga Spain
Christian Schmidl Germany
Elena Prosperini relative to Lyndsay M. Murrow United States Lyndsay M. Murrow's profile →
Citations per field
00.5×2.7×
Lyndsay M. Murrow · 1×
Citations per year

Countries citing papers authored by Elena Prosperini

Since Specialization
Citations

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

Fields of papers citing papers by Elena Prosperini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Elena Prosperini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elena Prosperini Line = papers co-authored together Elena Prosperini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202315
2 202217
3 202019
4 201927
5 201861
6 201828
7 201738
8 201699
9 201597
10 201579
11
Latent Enhancers Activated by Stimulation in Differentiated Cellsbreakdown →
2013602
12 201274
13 2009185
14 2008166
15
The Histone H3 Lysine-27 Demethylase Jmjd3 Links Inflammation to Inhibition of Polycomb-Mediated Gene Silencingbreakdown →
2007759
16 200496
17
E2Fs regulate the expression of genes involved in differentiation, development, proliferation, and apoptosisbreakdown →
2001621
18 1999286
19 19978
20 199719

About Elena Prosperini

Elena Prosperini is a scholar working on Molecular Biology, Virology and Immunology, having authored 26 papers that have together received 3.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (8 papers), Cancer-related gene regulation (4 papers), Pancreatic function and diabetes (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), RNA modifications and cancer (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Immunology (982 citations), Molecular Biology (2.8k citations) and Oncology (855 citations). Elena Prosperini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gioacchino Natoli, Giuseppe Testa, Francesca De Santa, Maria Grazia Totaro, Kristian Helin, Samuele Notarbartolo, Iros Barozzi, Alberto Termanini, Maria Cristina Moroni and Heiko Müller. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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