Matteo Simonelli

3.8k citations
129 papers · 2.5k indexed · h-index 27

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Glioma Diagnosis and Treatment 50
    • Cancer Immunotherapy and Biomarkers 21

Matteo Simonelli

123 papers receiving 2.4k citations

Peers

Matteo Simonelli
Comparison fields: 5 of 106
  • Genetics 818
  • Oncology 691
  • Pulmonary and Respiratory Medicine 823
  • Hepatology 149
  • Neurology 279
Replace Benoît Lhermitte with:
Benoît Lhermitte France
Wenyin Shi United States
Ho Jun Seol South Korea
Michel Fabbro France
Ashwatha Narayana United States
Marc Bischof Germany
Élodie Vauléon France
Jae‐Kyung Won South Korea
Carmen Balañá Spain
Changhu Chen United States
Matteo Simonelli relative to Benoît Lhermitte France Benoît Lhermitte's profile →
Citations per field
00.5×2.9×
Benoît Lhermitte · 1×
Citations per year

Countries citing papers authored by Matteo Simonelli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Simonelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20232
5 20232
6 20223
7 20211
8 202111
9 20214
10 20201
11 202079
12 202012
13
Osteopathic approach with a patient undergoing cardiac transplantation: the five diaphragms
20191
14 201822
15 2017111
16 201628
17 201631
18 201429
19 201343
20 201230

About Matteo Simonelli

Matteo Simonelli is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Neurology and Biotechnology, having authored 129 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (50 papers), Brain Metastases and Treatment (21 papers), Cancer Immunotherapy and Biomarkers (21 papers), Meningioma and schwannoma management (15 papers), Occupational and environmental lung diseases (13 papers), Lung Cancer Treatments and Mutations (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Pleural and Pulmonary Diseases (10 papers). The work is most often cited by research in Genetics (818 citations), Oncology (691 citations), Pulmonary and Respiratory Medicine (823 citations), Hepatology (149 citations) and Neurology (279 citations). Matteo Simonelli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Armando Santoro, Paolo Andrea Zucali, Elena Lorenzi, Federico Pessina, Fabio De Vincenzo, Pierina Navarria, Lorenzo Bello, Marta Scorsetti, Giovanni Luca Ceresoli and Pasquale Persico. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancers, Lung Cancer and Neuro-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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