Laura Spinelli

1.2k citations
22 papers · 829 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Epigenetics and DNA Methylation

Papers in

    • PI3K/AKT/mTOR signaling in cancer 11
    • Protein Kinase Regulation and GTPase Signaling 4
    • Protein Tyrosine Phosphatases 3
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 2

Laura Spinelli

22 papers receiving 824 citations

Peers

Laura Spinelli
Comparison fields: 5 of 88
  • Immunology 272
  • Molecular Biology 501
  • Cancer Research 97
  • Oncology 156
  • Genetics 56
Replace Teresa T. Nguyen with:
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Citations per field
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Citations per year

Countries citing papers authored by Laura Spinelli

Since Specialization
Citations

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

Fields of papers citing papers by Laura Spinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019166
2 2019147
3 2009106
4 2012100
5 201478
6 201456
7 200941
8 202028
9 199120
10 200915
11 202114
12 202513
13 20219
14 19769
15 20228
16 20148
17 20224
18 20022
19 20102
20
AKT independent glioma suppression by PTEN
20121

About Laura Spinelli

Laura Spinelli is a scholar working on Molecular Biology, Immunology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 22 papers that have together received 829 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Protein Tyrosine Phosphatases (3 papers), Cancer Mechanisms and Therapy (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (272 citations), Molecular Biology (501 citations), Cancer Research (97 citations), Oncology (156 citations) and Genetics (56 citations). Laura Spinelli has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Nicholas R. Leslie, Doreen A. Cantrell, Jens Hukelmann, Andrew J.M. Howden, Angus I. Lamond, Alejandro J. Brenes, Linda V. Sinclair, Hélène Maccario, L. S. P. Davidson and Priyanka Tibarewal. Their work appears in journals such as Advances in Biological Regulation, eLife, Nature Immunology, Journal of Food Science and Journal of Medical Genetics.

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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