Tiziano Barberi

32 papers receiving 3.4k citations

Tiziano Barberi's Hit Papers

Derivation of midbrain dopamine neurons from human embryonic stem cells 2004 · 804 citations
8040+7+14Years since publication250500750

Peers

Tiziano Barberi
Comparison fields: 5 of 108
  • Developmental Neuroscience 525
  • Genetics 637
  • Molecular Biology 2.6k
  • Cellular and Molecular Neuroscience 665
  • Hematology 378
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Citations per field
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Citations per year

Countries citing papers authored by Tiziano Barberi

Since Specialization
Citations

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

Fields of papers citing papers by Tiziano Barberi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Derivation of midbrain dopamine neurons from human embryonic stem cells
Hit paper breakdown →
2004804
2 2003524
3 2007441
4 2005376
5 2007267
6 1995209
7 2013144
8 1995115
9 1993111
10 1993106
11
PML/RAR alpha+ U937 mutant and NB4 cell lines: retinoic acid restores the monocytic differentiation response to vitamin D3.
199454
12 199349
13 199549
14
Promyelocytic leukemia-specific PML-retinoic acid alpha receptor fusion protein interferes with erythroid differentiation of human erythroleukemia K562 cells.
199544
15 201542
16 200039
17 199934
18 199819
19 201419
20 201318

About Tiziano Barberi

Tiziano Barberi is a scholar working on Genetics, Hematology, Immunology, Molecular Biology and Physiology, having authored 33 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Retinoids in leukemia and cellular processes (6 papers), Acute Myeloid Leukemia Research (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Immune Cell Function and Interaction (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Blood properties and coagulation (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Developmental Neuroscience (525 citations), Genetics (637 citations), Molecular Biology (2.6k citations), Cellular and Molecular Neuroscience (665 citations) and Hematology (378 citations). Tiziano Barberi has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Lorenz Studer, Viviane S. Tabar, Nicholas D. Socci, Juan L. Brusés, Maria Eulalia Rubio, Neil L. Harrison, Norbert Topf, Anselme L. Perrier, Georgia Panagiotakos and Lucy M. Willis. Their work appears in journals such as Stem Cells and Development, Blood, Proceedings of the National Academy of Sciences, European Journal of Biochemistry 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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