Michela Basso

504 citations
8 papers · 350 · h-index 7

Impact in

    • Microbial Inactivation Methods
    • Transgenic Plants and Applications
    • Toxin Mechanisms and Immunotoxins

Papers in

Michela Basso

8 papers receiving 343 citations

Peers

Michela Basso
Comparison fields: 5 of 38
  • Biotechnology 226
  • Immunology 72
  • Endocrinology, Diabetes and Metabolism 46
  • Biomedical Engineering 102
  • Health Informatics 2
Replace Alison Humphreys with:
Alison Humphreys United Kingdom
Giuseppe Spadola Italy
Thomas Wimmer United States
Marija Marčan Slovenia
Marco Dollinger Germany
Florian Bürtin Germany
Peter Wagstaff Netherlands
Víctor Farricha Portugal
Maksimiljan Kadivec Slovenia
Paola Brandani Italy
Michela Basso relative to Alison Humphreys United Kingdom Alison Humphreys's profile →
Citations per field
00.5×6.6×
Alison Humphreys · 1×
Citations per year

Countries citing papers authored by Michela Basso

Since Specialization
Citations

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

Fields of papers citing papers by Michela Basso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008203
2 201270
3 201825
4 201323
5 201115
6 20167
7 20116
8 20111

About Michela Basso

Michela Basso is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Molecular Biology, having authored 8 papers that have together received 350 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Microbial Inactivation Methods (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Biomedical Text Mining and Ontologies (1 paper), BRCA gene mutations in cancer (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Electrostatic Discharge in Electronics (1 paper). The work is most often cited by research in Biotechnology (226 citations), Immunology (72 citations), Endocrinology, Diabetes and Metabolism (46 citations), Biomedical Engineering (102 citations) and Health Informatics (2 citations). Michela Basso has collaborated with scholars based in Italy, Germany and Malaysia. Frequent co-authors include L. Corti, Carlo Riccardo Rossi, Simone Mocellin, L Campana, Gian Luca De Salvo, Donato Nitti, Vanna Chiarion‐Sileni, Antonella Vecchiato, Alberto Marchet and Cristina Falci. Their work appears in journals such as Thyroid, Clinical Oncology, European Journal of Internal Medicine, Annals of Surgical Oncology and Breast Cancer Research and Treatment.

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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