Michele Olivieri

2.5k citations
11 papers · 784 indexed · 1 hit paper · h-index 9
Topics
CRISPR and Genetic Engineering (3 papers)RNA regulation and disease (2 papers)HIV Research and Treatment (2 papers)
Partner nations
ItalyCanadaBrazil

In The Last Decade

Michele Olivieri

11 papers receiving 759 citations

Hit Papers

A highly specific SpCas9 variant is identified by in vivo...20182026202020232018100200300

Peers

Michele Olivieri
Comparison fields: 5 of 77
  • Molecular Biology 486
  • Endocrinology, Diabetes and Metabolism 144
  • Genetics 132
  • Hematology 106
  • Pediatrics, Perinatology and Child Health 72
Replace Marina Kleanthous with:
Marina Kleanthous Cyprus
Havva Keskin Türkiye
Cyril Sarrauste de Menthière France
M.J. van Zwieten Netherlands
Shen Dai United States
Feixue Li China
C.E. Patek United Kingdom
Vera Gallo Italy
Sook‐Hwan Lee South Korea
Yebo Wang China
Michele Olivieri relative to Marina Kleanthous Cyprus Marina Kleanthous's profile →
Citations per field
00.5×7.6×
Marina Kleanthous · 1×
Citations per year

Countries citing papers authored by Michele Olivieri

Since Specialization
Citations

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

Fields of papers citing papers by Michele Olivieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Olivieri

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 14
2 48
3
A highly specific SpCas9 variant is identified by in vivo screening in yeastbreakdown →
367
4 8
5 14
6 11
7 1
8
[Antiphospholipid antibodies: their prevalence, clinical significance and correlation with cytokine levels in acute myeloid leukemia and non-Hodgkin's lymphoma].
11
9 113
10 100
11 97

About Michele Olivieri

Michele Olivieri is a scholar working on Virology, Hematology and Microbiology, having authored 11 papers that have together received 784 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Business and International Management (51 citations), Aging (33 citations) and Hematology (106 citations). Michele Olivieri has collaborated with scholars based in Italy, Canada and Brazil. Frequent co-authors include Antonio Casini, Anna Cereseto, Gianluca Petris, Claudia Montagna, Francesca Lorenzin, Francesca Demichelis, Alberto Inga, Giordano Reginato, Giulia Maule and Davide Prandi. Their work appears in journals such as Genes & Development, Blood and Nature Biotechnology.

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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