Luisa Paris

900 citations
10 papers · 732 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

Luisa Paris

10 papers receiving 727 citations

Peers

Luisa Paris
Comparison fields: 5 of 80
  • Cancer Research 226
  • Immunology 189
  • Molecular Biology 487
  • Infectious Diseases 69
  • Oncology 88
Replace Sina Taefehshokr with:
Sina Taefehshokr Iran
Natalie Grinshtein Canada
Leonardo Josué Castro-Muñoz Mexico
Guillaume Marcion France
Sergey A. Kaliberov United States
Liujiang Song United States
Nima Taefehshokr Iran
Sammy Ferri‐Borgogno United States
Lyudmila N. Kaliberova United States
Guo‐Kai Feng China
Luisa Paris relative to Sina Taefehshokr Iran Sina Taefehshokr's profile →
Citations per field
00.5×10×15×18.7×
Sina Taefehshokr · 1×
Citations per year

Countries citing papers authored by Luisa Paris

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2012380
2 201782
3 201066
4 201261
5 201647
6 201130
7 202027
8 201325
9 201713
10
[Variations in blood serotonin during antiepileptic therapy].
19811

About Luisa Paris

Luisa Paris is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Pediatrics, Perinatology and Child Health and Oncology, having authored 10 papers that have together received 732 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Tuberculosis Research and Epidemiology (1 paper), Epilepsy research and treatment (1 paper), MRI in cancer diagnosis (1 paper), Glycosylation and Glycoproteins Research (1 paper), Mitochondrial Function and Pathology (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Cancer Research (226 citations), Immunology (189 citations), Molecular Biology (487 citations), Infectious Diseases (69 citations) and Oncology (88 citations). Luisa Paris has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Franca Podo, Laura Abalsamo, Carlo Ramoni, Serena Cecchetti, Francesca Spadaro, Luana Lugini, Agnese Molinari, Licia Rivoltini, Marisa Colone and Veronica Huber. Their work appears in journals such as Breast Cancer Research, Frontiers in Oncology, NMR in Biomedicine, Oncotarget and Science Translational Medicine.

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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