Roberto Molinari

3.2k total citations
97 papers, 2.3k citations indexed

About

Roberto Molinari is a scholar working on Otorhinolaryngology, Oncology and Surgery. According to data from OpenAlex, Roberto Molinari has authored 97 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Otorhinolaryngology, 33 papers in Oncology and 32 papers in Surgery. Recurrent topics in Roberto Molinari's work include Head and Neck Cancer Studies (40 papers), Salivary Gland Tumors Diagnosis and Treatment (16 papers) and Inertial Sensor and Navigation (15 papers). Roberto Molinari is often cited by papers focused on Head and Neck Cancer Studies (40 papers), Salivary Gland Tumors Diagnosis and Treatment (16 papers) and Inertial Sensor and Navigation (15 papers). Roberto Molinari collaborates with scholars based in Italy, United States and Switzerland. Roberto Molinari's co-authors include Cesare Grandi, Marco Guzzo, C Grandi, Lisa Licitra, Giulio Cantù, S. Podrecca, Silvana Di Palma, Gianni Bonadonna, P. Salvatori and R Zucali and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Roberto Molinari

96 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roberto Molinari Italy 25 1.1k 1.1k 1.0k 307 291 97 2.3k
Brett A. Miles United States 33 865 0.8× 2.1k 1.9× 1.5k 1.4× 659 2.1× 73 0.3× 185 3.5k
Scott P. Stringer United States 42 2.1k 1.9× 3.0k 2.6× 3.4k 3.2× 1.2k 4.0× 350 1.2× 136 5.0k
Mark D. DeLacure United States 25 459 0.4× 743 0.7× 519 0.5× 427 1.4× 121 0.4× 65 2.0k
Jerome B. Taxy United States 35 879 0.8× 1.2k 1.1× 216 0.2× 1.0k 3.3× 374 1.3× 114 3.4k
Juan Carlos de Vicente Spain 33 980 0.9× 1.5k 1.4× 323 0.3× 358 1.2× 218 0.7× 161 3.5k
Margaret Brandwein United States 35 1.6k 1.4× 2.6k 2.3× 1.3k 1.3× 654 2.1× 610 2.1× 73 4.1k
Celeste N. Powers United States 28 710 0.6× 1.0k 0.9× 166 0.2× 614 2.0× 334 1.1× 112 2.3k
Jussi Tarkkanen Finland 28 770 0.7× 674 0.6× 309 0.3× 265 0.9× 200 0.7× 98 2.2k
Yasushi Furuta Japan 30 353 0.3× 1.1k 0.9× 833 0.8× 378 1.2× 243 0.8× 152 2.8k
H Reychler Belgium 24 400 0.4× 1.0k 0.9× 1.1k 1.0× 774 2.5× 86 0.3× 137 3.0k

Countries citing papers authored by Roberto Molinari

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Molinari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Molinari

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Molinari. A scholar is included among the top collaborators of Roberto Molinari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roberto Molinari. Roberto Molinari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smith, Michael L., C. S. Bailey, Bajaree Chuttong, et al.. (2024). Form, function, and evolutionary origins of architectural symmetry in honey bee nests. Current Biology. 34(24). 5813–5821.e5. 1 indexed citations
2.
Cucci, Davide A., et al.. (2023). Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration. IEEE Transactions on Signal Processing. 71. 1103–1114. 2 indexed citations
3.
Srivastava, Puneet, et al.. (2023). Artificial neural network-empowered projected future rainfall intensity-duration-frequency curves under changing climate. Atmospheric Research. 297. 107122–107122. 3 indexed citations
4.
Zhang, Yuming, Davide A. Cucci, Roberto Molinari, & Stéphane Guerrier. (2022). Scale-Wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes. IEEE Transactions on Signal Processing. 70. 5320–5333. 3 indexed citations
5.
Molinari, Roberto, et al.. (2022). Evidence of antagonistic predictive effects of miRNAs in breast cancer cohorts through data-driven networks. Scientific Reports. 12(1). 5166–5166. 2 indexed citations
6.
Molinari, Roberto, et al.. (2022). Honey bee colony loss linked to parasites, pesticides and extreme weather across the United States. Scientific Reports. 12(1). 20787–20787. 54 indexed citations
7.
Molinari, Roberto, et al.. (2021). Granger-causal testing for irregularly sampled time series with application to nitrogen signalling in Arabidopsis. Bioinformatics. 37(16). 2450–2460. 11 indexed citations
8.
Guerrier, Stéphane, Roberto Molinari, John Raquet, et al.. (2020). Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration. IEEE Transactions on Instrumentation and Measurement. 69(10). 7542–7551. 8 indexed citations
9.
Guerrier, Stéphane, et al.. (2019). Multivariate Signal Modeling With Applications to Inertial Sensor Calibration. IEEE Transactions on Signal Processing. 67(19). 5143–5152. 6 indexed citations
10.
Guerrier, Stéphane, et al.. (2019). A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling. IEEE Transactions on Instrumentation and Measurement. 68(12). 4924–4936. 15 indexed citations
11.
Guerrier, Stéphane, et al.. (2016). A Predictive Based Regression Algorithm for Gene Network Selection. Frontiers in Genetics. 7. 97–97. 3 indexed citations
12.
Guerrier, Stéphane, Roberto Molinari, Jan Škaloud, & Maria‐Pia Victoria‐Feser. (2013). An algorithm for automatic inertial sensors calibration. Archive ouverte UNIGE (University of Geneva). 1092–1097. 3 indexed citations
13.
Podrecca, S., et al.. (2005). Review of 346 patients with free-flap reconstruction following head and neck surgery for neoplasm. Journal of Plastic Reconstructive & Aesthetic Surgery. 59(2). 122–129. 38 indexed citations
14.
Licitra, Lisa, Silvia Veneroni, Maria Grazia Daidone, et al.. (1998). Biological markers as indicators of pathological response to primary chemotherapy in oral-cavity cancers. International Journal of Cancer. 79(6). 619–623. 27 indexed citations
15.
Licitra, Lisa, Raffaele Cavina, C Grandi, et al.. (1996). Cisplatin, doxorubicin and cyclophosphamide in advanced salivary gland carcinoma. Annals of Oncology. 7(6). 640–642. 127 indexed citations
16.
Gamba, Alessio, Maria Fiammetta Romano, Marcello Tamburini, et al.. (1992). Psychosocial adjustment of patients surgically treated for head and neck cancer. Head & Neck. 14(3). 218–223. 126 indexed citations
17.
Licitra, Lisa, S Marchini, Silvia Spinazzé, et al.. (1991). Cisplatin in advanced salivary gland carcinoma. A phase II study of 25 patients. Cancer. 68(9). 1874–1877. 97 indexed citations
18.
Cislaghi, E, et al.. (1973). New Perspectives in Prosthetic Replacement of the Mandible after Resection or Disarticulation. Tumori Journal. 59(2). 137–149. 1 indexed citations
19.
Banfi, Alberto, Gianni Bonadonna, Sante Basso Ricci, et al.. (1972). Malignant Lymphomas of Waldeyer's Ring: Natural History and Survival after Radiotherapy. BMJ. 3(5819). 140–143. 87 indexed citations
20.
Lena, M. De, et al.. (1970). Sperimentazione clinica con alte dosi intermittenti di methotrexate nel carcinoma oro-faringeo in fase avanzata.. Tumori. 56(5). 259–268. 2 indexed citations

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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