Laura Aimati

524 citations
9 papers · 210 · h-index 7

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Mitochondrial Function and Pathology
    • Fibroblast Growth Factor Research
    • ATP Synthase and ATPases Research
    • RNA modifications and cancer
    • Metabolomics and Mass Spectrometry Studies
    • Kruppel-like factors research

Papers in

    • Fibroblast Growth Factor Research 2
    • Mitochondrial Function and Pathology 2
    • Kruppel-like factors research 1
    • Esophageal and GI Pathology 1

Laura Aimati

9 papers receiving 207 citations

Peers

Laura Aimati
Comparison fields: 5 of 67
  • Cancer Research 52
  • Molecular Biology 139
  • Applied Microbiology and Biotechnology 4
  • Dermatology 15
  • Neurology 12
Replace Renata Posmyk with:
Renata Posmyk Poland
Xiangzhi Meng China
Ivana Apicella United States
Nikolaos E. Efstathiou United States
Jonathan Enders United States
Takehiro Ueda Japan
Otto Bergman Sweden
Elisabeth Steichen Austria
Albert E Zhou United States
D Schreiber Germany
Laura Aimati relative to Renata Posmyk Poland Renata Posmyk's profile →
Citations per field
00.5×
Renata Posmyk · 1×
Citations per year

Countries citing papers authored by Laura Aimati

Since Specialization
Citations

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

Fields of papers citing papers by Laura Aimati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200759
2 201243
3 200532
4 200428
5 200319
6 20159
7 20118
8 20106
9 20156

About Laura Aimati

Laura Aimati is a scholar working on Molecular Biology, Surgery, Genetics, Dermatology and Cancer Research, having authored 9 papers that have together received 210 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Fibroblast Growth Factor Research (2 papers), Mitochondrial Function and Pathology (2 papers), Kruppel-like factors research (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Neuroscience of respiration and sleep (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Cancer Research (52 citations), Molecular Biology (139 citations), Applied Microbiology and Biotechnology (4 citations), Dermatology (15 citations) and Neurology (12 citations). Laura Aimati has collaborated with scholars based in Italy and Lebanon. Frequent co-authors include Maria Rosaria Torrisi, Fabrizio Signore, Salvatore Raffa, Lorenza Putignani, Paola Grammatico, Laura Leone, Cinzia Marchese, Giorgia Cardinali, Francesca Belleudi and Luigi Frati. Their work appears in journals such as British Journal of Haematology, Expert Review of Neurotherapeutics, Journal of Cellular Physiology, Breast Cancer Research and Treatment and World Journal of Oncology.

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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