Vania Gelmetti

12.0k citations
34 papers · 4.8k indexed · 2 hit papers · h-index 24

Vania Gelmetti

34 papers receiving 4.8k citations

Hit Papers

A Minicircuitry Comprised of MicroRNA-223 and Transcripti...8061998202620072016250500750

Peers

Vania Gelmetti
Comparison fields: 5 of 101
  • Hematology 1.8k
  • Molecular Biology 4.1k
  • Cancer Research 787
  • Biochemistry 182
  • Immunology 438
Replace Mario Cioce with:
Mario Cioce Italy
Marion Jeanne United States
Sarah J. Freemantle United States
Jacqueline A. Dyck United States
Fabien Guidez France
Alessandra Vacca Italy
Feyruz V. Rassool United States
Jeffrey S. Haug United States
David J. Izon Australia
Antonietta R. Farina Italy
Vania Gelmetti relative to Mario Cioce Italy Mario Cioce's profile →
Citations per field
00.5×2.5×
Mario Cioce · 1×
Citations per year

Countries citing papers authored by Vania Gelmetti

Since Specialization
Citations

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

Fields of papers citing papers by Vania Gelmetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vania Gelmetti, 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 Vania Gelmetti Line = papers co-authored together Vania Gelmetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202216
2 201523
3 201343
4 2013134
5 201235
6 201131
7 2010211
8 200823
9
A Minicircuitry Comprised of MicroRNA-223 and Transcription Factors NFI-A and C/EBPα Regulates Human Granulopoiesisbreakdown →
2005806
10 200542
11 20051
12 200531
13 2005131
14 2004416
15 200311
16 2003196
17 200155
18 2000243
19 199937
20 199818

About Vania Gelmetti

Vania Gelmetti is a scholar working on Hematology, Neurology and Biochemistry, having authored 34 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Retinoids in leukemia and cellular processes (19 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Histone Deacetylase Inhibitors Research (7 papers), Autophagy in Disease and Therapy (6 papers), Lysosomal Storage Disorders Research (5 papers), Protein Degradation and Inhibitors (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (1.8k citations), Molecular Biology (4.1k citations) and Cancer Research (787 citations). Vania Gelmetti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Clara Nervi, Pier Giuseppe Pelicci, Saverio Minucci, Mirco Fanelli, Mitchell A. Lazar, Francesco Fazi, Alessandro Rosa, Irene Bozzoni, Alessandro Fatica and Maria Laura De Marchis. Their work appears in journals such as Nature, Cell and Journal of Clinical Investigation.

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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