Xavier Paolettí

146 papers receiving 4.0k citations

Xavier Paolettí's Hit Papers

Hyperprogression during anti-PD-1/PD-L1 therapy in patients with recurrent and/or metastatic head and neck squamous cell carcinoma 2017 · 449 citations
4490+3+6Years since publication100200300400

Peers

Xavier Paolettí
Comparison fields: 5 of 131
  • Statistics and Probability 906
  • Oncology 1.4k
  • Cancer Research 685
  • Management Science and Operations Research 346
  • Hepatology 200
Replace Gina R. Petroni with:
Gina R. Petroni United States
Alexia Iasonos United States
Lucinda Billingham United Kingdom
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Simone Mathoulin‐Pélissier France
Yann De Rycke France
Marcy Winget United States
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Citations per year

Countries citing papers authored by Xavier Paolettí

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Paolettí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hyperprogression during anti-PD-1/PD-L1 therapy in patients with recurrent and/or metastatic head and neck squamous cell carcinoma
Hit paper breakdown →
2017449
2 2012164
3 2013137
4 2010120
5 2013118
6 2005111
7 201199
8 200894
9 201492
10 201588
11 201984
12 202080
13 200476
14 200974
15 201972
16 200864
17 201664
18 200361
19 201460
20 200460

About Xavier Paolettí

Xavier Paolettí is a scholar working on Statistics and Probability, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 158 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (57 papers), Cancer Genomics and Diagnostics (30 papers), Health Systems, Economic Evaluations, Quality of Life (25 papers), Optimal Experimental Design Methods (17 papers), Ovarian cancer diagnosis and treatment (16 papers), Lung Cancer Treatments and Mutations (16 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Colorectal Cancer Treatments and Studies (13 papers). The work is most often cited by research in Statistics and Probability (906 citations), Oncology (1.4k citations), Cancer Research (685 citations), Management Science and Operations Research (346 citations) and Hepatology (200 citations). Xavier Paolettí has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Christophe Le Tourneau, John O’Quigley, Vincent Servois, Marie Alt, Delphine Loirat, Tomasz Burzykowski, Birgit Geoerger, Andy Karabajakian, Esma Saâda-Bouzid and Jérôme Fayette. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Annals of Oncology, International Journal of Gynecological Cancer and JNCI Journal of the National Cancer Institute.

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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