Barbara Ghinassi

1.7k citations
73 papers · 1.2k · h-index 19

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Mesenchymal stem cell research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Pluripotent Stem Cells Research 7
    • Kruppel-like factors research 6
    • Erythrocyte Function and Pathophysiology 7

Barbara Ghinassi

69 papers receiving 1.2k citations

Peers

Barbara Ghinassi
Comparison fields: 5 of 121
  • Genetics 252
  • Hematology 156
  • Physiology 200
  • Orthopedics and Sports Medicine 52
  • Cardiology and Cardiovascular Medicine 122
Replace Michael De Lisio with:
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Barbara Ghinassi relative to Michael De Lisio Canada Michael De Lisio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barbara Ghinassi

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Ghinassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201499
2 201389
3 201978
4 202152
5 201850
6 200647
7 201133
8 202030
9 200529
10 200927
11 201327
12 202227
13 201926
14 201525
15 202223
16 201223
17 201723
18 201922
19 201821
20 200518

About Barbara Ghinassi

Barbara Ghinassi is a scholar working on Molecular Biology, Physiology, Hematology, Genetics and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Platelet Disorders and Treatments (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Pluripotent Stem Cells Research (7 papers), Acute Myeloid Leukemia Research (7 papers), Kruppel-like factors research (6 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Tissue Engineering and Regenerative Medicine (6 papers). The work is most often cited by research in Genetics (252 citations), Hematology (156 citations), Physiology (200 citations), Orthopedics and Sports Medicine (52 citations) and Cardiology and Cardiovascular Medicine (122 citations). Barbara Ghinassi has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Angela Di Baldassarre, Pascal Izzicupo, Giulia Gaggi, Andrea Di Credico, Maria Angela D’Amico, Anna Ritá Migliaccio, Fabrizio Martelli, Giovanni Migliaccio, Lamberto Manzoli and Alessandro M. Vannucchi. Their work appears in journals such as Blood, International Journal of Molecular Sciences, International Journal of Environmental Research and Public Health, Cells and Journal of Cellular Physiology.

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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