P. Trémolières

790 citations
15 papers · 466 indexed · 1 hit paper · h-index 6
Topics
Cancer Diagnosis and Treatment (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Lung Cancer Diagnosis and Treatment (3 papers)
Partner nations
FranceUnited StatesItaly

In The Last Decade

P. Trémolières

13 papers receiving 461 citations

Hit Papers

Randomized Trial Comparing a Web-Mediated Follow-up With ...20172026202020232017100200300

Peers

P. Trémolières
Comparison fields: 5 of 75
  • Oncology 309
  • Public Health, Environmental and Occupational Health 146
  • Pulmonary and Respiratory Medicine 116
  • General Health Professions 85
  • Pediatrics, Perinatology and Child Health 84
Replace T. Lizée with:
T. Lizée France
Claire Lethrosne France
Katie Mills United Kingdom
Lorraine Warrington United Kingdom
Jennifer A. Schlichting United States
N. Pourel France
Cleo A. Samuel United States
Elke Rammant Belgium
Kathi Apostolidis Belgium
Brindha Pillay Australia
P. Trémolières relative to T. Lizée France T. Lizée's profile →
Citations per field
00.5×1.5×
T. Lizée · 1×
Citations per year

Countries citing papers authored by P. Trémolières

Since Specialization
Citations

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

Fields of papers citing papers by P. Trémolières

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Trémolières

This figure shows the co-authorship network connecting the top 25 collaborators of P. Trémolières. A scholar is included among the top collaborators of P. Trémolières 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 P. Trémolières. P. Trémolières is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 8
3 3
4 0
5 81
6
Randomized Trial Comparing a Web-Mediated Follow-up With Routine Surveillance in Lung Cancer Patientsbreakdown →
322
7 4
8 2
9 3
10 10
11 24
12 5
13 0
14 1
15 1

About P. Trémolières

P. Trémolières is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Oncology, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (309 citations), Family Practice (18 citations) and Otorhinolaryngology (30 citations). P. Trémolières has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Anne-Lise Septans, T. Lizée, Jaafar Bennouna, Fabrice Denis, T. Urban, Julien Dômont, N. Pourel, Claire Lethrosne, Olivier Molinier and Hélène Senellart. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Radiotherapy and Oncology.

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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