Pascal Pujol

7.1k citations
99 papers · 3.5k indexed · 1 hit paper · h-index 27

Pascal Pujol

95 papers receiving 3.4k citations

Hit Papers

Exemestane for Breast-Cancer Prevention in Postmenopausal...6462011202620162021200400600

Peers

Pascal Pujol
Comparison fields: 5 of 116
  • Cancer Research 999
  • Genetics 1.6k
  • Reproductive Medicine 453
  • Oncology 1.3k
  • Endocrinology, Diabetes and Metabolism 394
Replace Dean B. Evans with:
Dean B. Evans Switzerland
Guillermo Blanco Argentina
Ronald J. Weigel United States
Mark L. Steinberg United States
Cezary Cybulski Poland
Michelle K.Y. Siu Hong Kong
Regina S. Whitaker United States
A Hittmair Austria
Rosemary L. Balleine Australia
Stéphanie Gaillard United States
Pascal Pujol relative to Dean B. Evans Switzerland Dean B. Evans's profile →
Citations per field
00.5×1.5×
Dean B. Evans · 1×
Citations per year

Countries citing papers authored by Pascal Pujol

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Pujol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 20234
5 20232
6 20227
7 202124
8 202127
9 201910
10 201610
11
Exemestane for Breast-Cancer Prevention in Postmenopausal Womenbreakdown →
2011646
12 20067
13
Les formes héréditaires de cancer du sein liées à BRCA1 et BRCA2 sont‐elles sensibles aux œstrogènes ?
20044
14 200458
15 200420
16 200118
17
Neoadjuvant tamoxifen for operable breast cancer: a need for phase III studies?
20003
18 200032
19 199849
20 199517

About Pascal Pujol

Pascal Pujol is a scholar working on Genetics, Cancer Research, Reproductive Medicine, Oncology and Modeling and Simulation, having authored 99 papers that have together received 3.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (25 papers), BRCA gene mutations in cancer (21 papers), Cancer Genomics and Diagnostics (14 papers), Ovarian cancer diagnosis and treatment (10 papers), Genetic factors in colorectal cancer (8 papers), Cancer Risks and Factors (7 papers), Nutrition, Genetics, and Disease (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (999 citations), Genetics (1.6k citations), Reproductive Medicine (453 citations), Oncology (1.3k citations) and Endocrinology, Diabetes and Metabolism (394 citations). Pascal Pujol has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Thierry Maudelondé, Henri Rochefort, Gwendal Lazennec, Françoise Vignon, Nathalie Boulle, Allison J. Bardin, J. Bringer, Séverine Cunat, Pascal Roger and P. Hoffmann. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Cancers, Oncogene and Breast Cancer Research and Treatment.

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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