Xavier Paolettí

8.6k citations
158 papers · 4.1k indexed · 1 hit paper · h-index 37

Xavier Paolettí

146 papers receiving 4.0k citations

Hit Papers

Hyperprogression during anti-PD-1/PD-L1 therapy in patien...4492017202620202023100200300400

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
Anne I. Goldman United States
Simone Mathoulin‐Pélissier France
Yann De Rycke France
Marcy Winget United States
Julien Péron France
Brent A. Blumenstein United States
M. Staquet France
Xavier Paolettí relative to Gina R. Petroni United States Gina R. Petroni's profile →
Citations per field
00.5×2.7×
Gina R. Petroni · 1×
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-authorship network

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
#Work
1 20240
2 20239
3 20223
4 202213
5 202136
6 202111
7 20213
8 202124
9 202124
10 20201
11 20184
12 20189
13
Hyperprogression during anti-PD-1/PD-L1 therapy in patients with recurrent and/or metastatic head and neck squamous cell carcinomabreakdown →
2017449
14 201611
15 20151
16 201460
17 20130
18 2012164
19 200621
20 200460

About Xavier Paolettí

Xavier Paolettí is a scholar working on Statistics and Probability, Cancer Research, Oncology, Reproductive Medicine and Management Science and Operations Research, 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), Colorectal Cancer Treatments and Studies (13 papers) and Cancer Immunotherapy and Biomarkers (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, Virginia Palomar Coloma, Jérôme Fayette and Esma Saâda-Bouzid. 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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