Loretta Gammaitoni

3.1k citations
65 papers · 2.2k · h-index 23

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • CAR-T cell therapy research 18
    • Immune Cell Function and Interaction 12
    • Immunotherapy and Immune Responses 7

Loretta Gammaitoni

65 papers receiving 2.1k citations

Peers

Loretta Gammaitoni
Comparison fields: 5 of 102
  • Genetics 489
  • Hematology 492
  • Immunology 630
  • Oncology 626
  • Molecular Biology 608
Replace Stephen J. Szilvassy with:
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Citations per field
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Citations per year

Countries citing papers authored by Loretta Gammaitoni

Since Specialization
Citations

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

Fields of papers citing papers by Loretta Gammaitoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999256
2 2005255
3 2009148
4 2012122
5 1998111
6 201393
7 201379
8 200372
9 200471
10 200269
11 199869
12
GAS6, the ligand of Axl and Rse receptors, is expressed in hematopoietic tissue but lacks mitogenic activity.
199755
13
In vitro and in vivo megakaryocyte differentiation of fresh and ex-vivo expanded cord blood cells: rapid and transient megakaryocyte reconstitution.
200344
14 201839
15 201935
16 201035
17 201934
18 201832
19 200430
20 200029

About Loretta Gammaitoni

Loretta Gammaitoni is a scholar working on Oncology, Immunology, Hematology, Molecular Biology and Surgery, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (18 papers), Hematopoietic Stem Cell Transplantation (13 papers), Immune Cell Function and Interaction (12 papers), Mesenchymal stem cell research (8 papers), Immunotherapy and Immune Responses (7 papers), Virus-based gene therapy research (6 papers), Platelet Disorders and Treatments (5 papers) and Melanoma and MAPK Pathways (5 papers). The work is most often cited by research in Genetics (489 citations), Hematology (492 citations), Immunology (630 citations), Oncology (626 citations) and Molecular Biology (608 citations). Loretta Gammaitoni has collaborated with scholars based in Italy, United States and Belarus. Frequent co-authors include Massimo Aglietta, Franca Fagioli, Wanda Piacibello, F Sanavio, Giuliana Cavalloni, Dario Sangiolo, Stefania Bruno, Alessandra Danè, Monica Gunetti and Valeria Leuci. Their work appears in journals such as Blood, Expert Opinion on Biological Therapy, Stem Cells, Molecular Cancer Therapeutics and Clinical Cancer Research.

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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