Matteo Simonelli

4.0k citations
131 papers · 2.5k · 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 48
    • Cancer Immunotherapy and Biomarkers 18
    • Lung Cancer Research Studies 6

Matteo Simonelli

125 papers receiving 2.5k citations

Peers

Matteo Simonelli
Comparison fields: 5 of 101
  • Genetics 754
  • Oncology 567
  • Pulmonary and Respiratory Medicine 648
  • Hepatology 132
  • Neurology 215
Replace Ho Jun Seol with:
Ho Jun Seol South Korea
Benoît Lhermitte France
Wenyin Shi United States
Doo‐Sik Kong South Korea
Ashwatha Narayana United States
Miguel Á. Idoate Spain
Carmen Balañá Spain
Jae‐Kyung Won South Korea
Élodie Vauléon France
H. S. Friedman United States
Matteo Simonelli relative to Ho Jun Seol South Korea Ho Jun Seol's profile →
Citations per field
00.5×2.6×
Ho Jun Seol · 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-authors

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

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 2017115
3 2017110
4 201191
5 201091
6 202190
7 201187
8 202083
9 201172
10 201367
11 201163
12 201963
13 201761
14 201954
15 201050
16 201449
17 201343
18 202040
19 201434
20 201833

About Matteo Simonelli

Matteo Simonelli is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Neurology, having authored 131 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (48 papers), Cancer Immunotherapy and Biomarkers (18 papers), Occupational and environmental lung diseases (12 papers), Brain Metastases and Treatment (10 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer Research and Treatments (8 papers), Myasthenia Gravis and Thymoma (6 papers) and Lung Cancer Research Studies (6 papers). The work is most often cited by research in Genetics (754 citations), Oncology (567 citations), Pulmonary and Respiratory Medicine (648 citations), Hepatology (132 citations) and Neurology (215 citations). Matteo Simonelli has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Armando Santoro, Paolo Andrea Zucali, Elena Lorenzi, Federico Pessina, Pierina Navarria, Fabio De Vincenzo, 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, Neuro-Oncology and Lung Cancer.

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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