Nadia Felli

3.6k total citations · 2 hit papers
30 papers, 2.9k citations indexed

About

Nadia Felli is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Nadia Felli has authored 30 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Cancer Research and 5 papers in Physiology. Recurrent topics in Nadia Felli's work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). Nadia Felli is often cited by papers focused on MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). Nadia Felli collaborates with scholars based in Italy, United States and Malaysia. Nadia Felli's co-authors include C Peschle, Carlo M. Croce, George A. Calin, Chang‐Gong Liu, Elvira Pelosi, Manuela Ferracin, Massimo Negrini, Masayoshi Shimizu, Hansjüerg Alder and Marie L. Dell’Aquila and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Nadia Felli

29 papers receiving 2.9k citations

Hit Papers

MicroRNA profiling reveals distinct signatures in B cell ... 2004 2026 2011 2018 2004 2005 250 500 750 1000

Peers

Nadia Felli
Comparison fields: 5 of 104
  • Molecular Biology 2.3k
  • Cancer Research 1.9k
  • Immunology 377
  • Genetics 310
  • Hematology 294
Replace Alfons Navarro with:
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Pia Ragno Italy
Joost Kluiver Netherlands
Tomohiro Umezu Japan
Flavia Pichiorri United States
Daniel T. Starczynowski United States
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Yann Lécluse France
Renate Burger Germany
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Citations per field, relative to Nadia Felli
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Citations per year, relative to Nadia Felli
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Countries citing papers authored by Nadia Felli

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Felli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Felli

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Felli. A scholar is included among the top collaborators of Nadia Felli 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 Nadia Felli. Nadia Felli 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
# Work Indexed citations
1 0
2 9
3 7
4 69
5 1
6 17
7 49
8 79
9 21
10 19
11 117
12 306
13
MicroRNAs 221 and 222 inhibit normal erythropoiesis and erythroleukemic cell growth via kit receptor down-modulation breakdown →
606
14 78
15 23
16 58
17 27
18 43
19 26
20 26

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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