Marco Russano

2.9k total citations
37 papers, 422 citations indexed

About

Marco Russano is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Marco Russano has authored 37 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 21 papers in Pulmonary and Respiratory Medicine and 12 papers in Cancer Research. Recurrent topics in Marco Russano's work include Lung Cancer Treatments and Mutations (14 papers), Cancer Genomics and Diagnostics (12 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Marco Russano is often cited by papers focused on Lung Cancer Treatments and Mutations (14 papers), Cancer Genomics and Diagnostics (12 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Marco Russano collaborates with scholars based in Italy, Malaysia and India. Marco Russano's co-authors include Giuseppe Tonini, Daniele Santini, Bruno Vincenzi, Francesco Pantano, Fabrizio Citarella, Emanuela Dell’Aquila, Andrea Napolitano, Giulia Ribelli, Sonia Simonetti and Michele Iuliani and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Oncology.

In The Last Decade

Marco Russano

31 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Russano Italy 10 239 166 139 124 46 37 422
Fabrizio Citarella Italy 8 227 0.9× 159 1.0× 139 1.0× 143 1.2× 48 1.0× 26 420
Kyrillus S. Shohdy Egypt 12 197 0.8× 114 0.7× 213 1.5× 88 0.7× 59 1.3× 39 440
Joanna Huszno Poland 11 193 0.8× 102 0.6× 146 1.1× 131 1.1× 61 1.3× 37 425
İbrahim Petekkaya Türkiye 10 261 1.1× 121 0.7× 83 0.6× 111 0.9× 22 0.5× 24 382
Nicolas Piton France 14 184 0.8× 116 0.7× 310 2.2× 98 0.8× 68 1.5× 43 539
Qingtao Zhao China 12 271 1.1× 138 0.8× 145 1.0× 108 0.9× 70 1.5× 34 476
Xiangyang Yu China 15 179 0.7× 94 0.6× 223 1.6× 95 0.8× 96 2.1× 43 445
Mariachiara Santorsola Italy 13 218 0.9× 87 0.5× 92 0.7× 121 1.0× 85 1.8× 45 428
Alessandra Ferro Italy 11 183 0.8× 76 0.5× 174 1.3× 79 0.6× 19 0.4× 37 315
Pauline du Rusquec France 10 225 0.9× 66 0.4× 160 1.2× 93 0.8× 37 0.8× 25 400

Countries citing papers authored by Marco Russano

Since Specialization
Citations

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

Fields of papers citing papers by Marco Russano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Russano

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Russano. A scholar is included among the top collaborators of Marco Russano 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 Marco Russano. Marco Russano 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.
Russano, Marco, Remya George, Pedro Nunes, et al.. (2024). 1352P Real-world second-line outcomes of NSCLC patients receiving first-line chemotherapy plus immunotherapy. Annals of Oncology. 35. S854–S854. 1 indexed citations
2.
3.
Bria, Alessandro, Carlo Greco, Marco Russano, et al.. (2023). Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers. 4101–4107. 2 indexed citations
4.
Russano, Marco, Giuseppe Perrone, Fabrizio Citarella, et al.. (2022). Uncommon EGFR mutations in non-small-cell lung cancer. 5. 30–30. 2 indexed citations
5.
Citarella, Fabrizio, Marco Russano, Giuseppe Perrone, et al.. (2022). Ineffective target therapy in non-small cell lung cancer harboring BRAF G466R mutation: a case report and biological rationale. 5. 19–19. 2 indexed citations
6.
Perrone, Fabiana, Lorenzo Belluomini, Marco Mazzotta, et al.. (2021). Exploring the role of respiratory microbiome in lung cancer: A systematic review. Critical Reviews in Oncology/Hematology. 164. 103404–103404. 24 indexed citations
7.
Mallio, Carlo Augusto, Andrea Napolitano, Francesco Giordano, et al.. (2021). Deep Learning Algorithm Trained with COVID-19 Pneumonia Also Identifies Immune Checkpoint Inhibitor Therapy-Related Pneumonitis. Cancers. 13(4). 652–652. 22 indexed citations
8.
Minuti, Gabriele, Silvia Carpano, Ettore D’Argento, et al.. (2021). [Management of small cell lung cancer patient in the regions of Lazio, Umbria and Sardinia.]. PubMed. 112(10). 639–646. 1 indexed citations
9.
10.
Citarella, Fabrizio, et al.. (2021). Novel drugs, familiar interactions: ciprofloxacin may increase exposure to the RET inhibitor pralsetinib. Annals of Oncology. 32(6). 811–813.
11.
Dell’Aquila, Emanuela, Grazia Armento, Michele Iuliani, et al.. (2020). Denosumab for cancer-related bone loss. Expert Opinion on Biological Therapy. 20(11). 1261–1274. 17 indexed citations
12.
Russano, Marco, Andrea Napolitano, Giulia Ribelli, et al.. (2020). Liquid biopsy and tumor heterogeneity in metastatic solid tumors: the potentiality of blood samples. Journal of Experimental & Clinical Cancer Research. 39(1). 95–95. 172 indexed citations
13.
Santini, Daniele, Fabrizio Citarella, Bruno Vincenzi, et al.. (2019). Cabozantinib and apixaban: an hitherto unreported interaction. Experimental Hematology and Oncology. 8(1). 22–22. 7 indexed citations
14.
Leone, Francesco, Roberto Filippi, Andrea Palloni, et al.. (2017). Prognostic factors in unresectable biliary tract cancer: a GICO (Gruppo Italiano COlangiocarcinoma) retrospective analysis. Annals of Oncology. 28. vi48–vi48.
15.
Grande, Roberta, Clara Natoli, Ida Pavese, et al.. (2016). Treatment of Metastatic Colorectal Cancer Patients ≥75 Years Old in Clinical Practice: A Multicenter Analysis. PLoS ONE. 11(7). e0157751–e0157751. 14 indexed citations
16.
Fanotto, V., Caterina Fontanella, Mario Uccello, et al.. (2015). Impact of age, ECOG PS and type of treatment on progression-free survival and overall survival in second-line therapy for advanced gastric cancer: analysis on 709 cases. Annals of Oncology. 26. vi91–vi91. 1 indexed citations
17.
Russano, Marco, Bruno Vincenzi, Olga Venditti, et al.. (2015). Pazopanib and pancreatic toxicity: a case report. BMC Research Notes. 8(1). 196–196. 7 indexed citations
18.
Pezzuto, Aldo, Marco Russano, Pierfilippo Crucitti, et al.. (2015). “Impact of Smoking Cessation Treatment” on Lung Function and Response Rate in EGFR Mutated Patients: A Short-Term Cohort Study. Recent Patents on Anti-Cancer Drug Discovery. 10(3). 342–351. 9 indexed citations
19.
Giordano, Guido, Vanja Vaccaro, Paola Bertocchi, et al.. (2015). Analysis of prognostic factors in advanced pancreatic cancer (APDAC) patients (pts) undergoing to first-line nab-paclitaxel (Nab-P) and gemcitabine (G) treatment.. Journal of Clinical Oncology. 33(3_suppl). 412–412. 5 indexed citations
20.
Lanese, Andrea, Alessandro Bittoni, Matteo Santoni, et al.. (2014). Clinical Outcome of Elderly (>70Y) Advanced Pancreatic Cancer Patients Receiving Chemotherapy. Annals of Oncology. 25. iv241–iv241. 1 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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