Laura Lattanzi

1.1k citations
11 papers · 867 indexed · h-index 10
  • Genetics top 5%
    • Mesenchymal stem cell research 2
    • Extracellular vesicles in disease 2
    • Muscle Physiology and Disorders 2
    • RNA Interference and Gene Delivery 2
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 2
  • Virology top 10%
    • Tissue Engineering and Regenerative Medicine 3
    • CAR-T cell therapy research 2

Laura Lattanzi

11 papers receiving 837 citations

Peers

Laura Lattanzi
Comparison fields: 5 of 67
  • Genetics 217
  • Biotechnology 102
  • Molecular Biology 628
  • Immunology 167
  • Virology 34
Replace Chu-Chih Shih with:
Chu-Chih Shih United States
Daniela Benati Italy
Hélène Strick‐Marchand France
Brenda M. Ogle United States
Suman Bharara United States
Xiangcan Zhan United States
Leng-Siew Yeap China
Bernhard Schiedlmeier Germany
Josh Lewis Stern United States
Ian A. King United Kingdom
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Citations per field
00.5×3.8×
Chu-Chih Shih · 1×
Citations per year

Countries citing papers authored by Laura Lattanzi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Lattanzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 201920
2 201728
3 201263
4 201038
5 200363
6 2001140
7 200023
8 1999325
9 1998117
10
A temperature-conditional mutant of simian virus 40 large T antigen requires serum to inhibit myogenesis and does not induce DNA synthesis in myotubes.
19974
11 199546

About Laura Lattanzi

Laura Lattanzi is a scholar working on Immunology, Genetics and Biotechnology, having authored 11 papers that have together received 867 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), Extracellular vesicles in disease (2 papers), Mesenchymal stem cell research (2 papers), CAR-T cell therapy research (2 papers), Muscle Physiology and Disorders (2 papers), RNA Interference and Gene Delivery (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (217 citations), Biotechnology (102 citations) and Molecular Biology (628 citations). Laura Lattanzi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giulio Cossu, Libera Berghella, Luciana De Angelis, Antonio Ponzetto, Maria Gabriella, Marcello Coletta, Maurizio Federico, Filippo Belardelli, Massimo Spada and Camillo Mancini. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Cell Biology and The Journal of Immunology.

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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