Natalia Meani

3.3k total citations
14 papers, 1.1k citations indexed

About

Natalia Meani is a scholar working on Molecular Biology, Hematology and Information Systems. According to data from OpenAlex, Natalia Meani has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Hematology and 2 papers in Information Systems. Recurrent topics in Natalia Meani's work include Acute Myeloid Leukemia Research (7 papers), Genomics and Chromatin Dynamics (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Natalia Meani is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Genomics and Chromatin Dynamics (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Natalia Meani collaborates with scholars based in Italy and United States. Natalia Meani's co-authors include Myriam Alcalay, Pier Giuseppe Pelicci, Lucilla Luzi, Simone P. Minardi, Rossella Galli, Angelo L. Vescovi, Sergio Ottolenghi, Elisabetta Mattei, Robin Lovell‐Badge and Cecilia Tiveron and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Bioinformatics.

In The Last Decade

Natalia Meani

14 papers receiving 1.1k citations

Peers

Natalia Meani
Comparison fields: 5 of 65
  • Molecular Biology 880
  • Hematology 451
  • Developmental Neuroscience 153
  • Cancer Research 140
  • Genetics 104
Replace Nicole Bäumer with:
Nicole Bäumer Germany
Tihomira I. Todorova United States
Rajendran Sanalkumar United States
Namiko Yamashita Japan
Kanae Mitsunaga Japan
Emma Fiorini Switzerland
Hao Jin China
Ruopeng Feng United States
Ellen M. Durand United States
Karine Sii-Felice France
Nicole Bäumer Germany View profile →
Citations per field, relative to Natalia Meani
Natalia Meani · 1×
Citations per year, relative to Natalia Meani
Natalia Meani · 1×

Countries citing papers authored by Natalia Meani

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Meani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Meani

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 13
2 30
3 38
4 99
5 56
6 42
7 255
8
GeneWebEx: Gene annotation Web Extraction, aggregation, and updating from web biomolecular databanks
1
9 2
10 2
11 11
12 196
13 55
14 291

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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2026