Carmen Vidal

1.6k total citations
74 papers, 1.0k citations indexed

About

Carmen Vidal is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Carmen Vidal has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Oncology, 29 papers in Pulmonary and Respiratory Medicine and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Carmen Vidal's work include Global Cancer Incidence and Screening (46 papers), Colorectal Cancer Screening and Detection (17 papers) and Cancer Risks and Factors (16 papers). Carmen Vidal is often cited by papers focused on Global Cancer Incidence and Screening (46 papers), Colorectal Cancer Screening and Detection (17 papers) and Cancer Risks and Factors (16 papers). Carmen Vidal collaborates with scholars based in Spain, United States and United Kingdom. Carmen Vidal's co-authors include Montse García, Gemma Binefa, Marina Pollán, Carmen Sánchez‐Contador, Núria Milà, Vı́ctor Moreno, Beatriz Pérez‐Gómez, María Sala, Nieves Ascunce and Pilar Moreo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Carmen Vidal

72 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen Vidal Spain 20 658 370 189 180 166 74 1.0k
Francesc Macià Spain 24 983 1.5× 545 1.5× 155 0.8× 213 1.2× 182 1.1× 79 1.4k
Elisabeth F. Beaber United States 18 803 1.2× 456 1.2× 176 0.9× 350 1.9× 69 0.4× 30 1.2k
Caitlin C Morrison United States 9 790 1.2× 272 0.7× 194 1.0× 35 0.2× 226 1.4× 17 1.5k
Anne Helene Olsen Denmark 23 1.1k 1.7× 170 0.5× 192 1.0× 100 0.6× 81 0.5× 41 1.5k
Roman Shyyan United States 7 618 0.9× 191 0.5× 167 0.9× 86 0.5× 62 0.4× 8 981
Ghada N. Farhat United States 16 214 0.3× 172 0.5× 108 0.6× 63 0.3× 98 0.6× 26 1.0k
Joshua Demb United States 18 665 1.0× 262 0.7× 105 0.6× 35 0.2× 270 1.6× 46 1.0k
Manxia Wu United States 15 630 1.0× 316 0.9× 225 1.2× 31 0.2× 73 0.4× 31 1.3k
Fiona McKenzie France 18 584 0.9× 110 0.3× 130 0.7× 36 0.2× 108 0.7× 31 1.0k
Peter S. Liang United States 20 1.1k 1.7× 567 1.5× 156 0.8× 27 0.1× 423 2.5× 62 1.8k

Countries citing papers authored by Carmen Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Vidal. A scholar is included among the top collaborators of Carmen Vidal 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 Carmen Vidal. Carmen Vidal 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.
2.
Vidal, Carmen, et al.. (2022). Women’s preference to apply shared decision-making in breast cancer screening: a discrete choice experiment. BMJ Open. 12(11). e064488–e064488. 2 indexed citations
3.
Román, Marta, Javier Louro, Margarita Posso, et al.. (2021). Breast density, benign breast disease, and risk of breast cancer over time. European Radiology. 31(7). 4839–4847. 24 indexed citations
4.
Posso, Margarita, Ivonne Vázquez, Laura Comerma, et al.. (2021). Mammographic features of benign breast lesions and risk of subsequent breast cancer in women attending breast cancer screening. European Radiology. 32(1). 621–629. 13 indexed citations
5.
Louro, Javier, Marta Román, Margarita Posso, et al.. (2020). Risk of breast cancer two years after a benign biopsy depends on the mammographic feature prompting recall. Maturitas. 144. 53–59. 1 indexed citations
6.
Martínez‐Alonso, Montserrat, Montse García, María Sala, et al.. (2019). Effect of information about the benefits and harms of mammography on women’s decision making: The InforMa randomised controlled trial. PLoS ONE. 14(3). e0214057–e0214057. 40 indexed citations
7.
Posso, Margarita, Javier Louro, Marta Román, et al.. (2018). Mammographic breast density: How it affects performance indicators in screening programmes?. European Journal of Radiology. 110. 81–87. 29 indexed citations
8.
González‐Marrón, Adrián, Juan Carlos Martín‐Sánchez, Nuria Matilla‐Santander, et al.. (2018). Estimation of the adult population at high risk of developing lung cancer in the European Union. Cancer Epidemiology. 57. 140–147. 4 indexed citations
9.
Pozo, María del, Adela Castelló, Carmen Vidal, et al.. (2018). Overeating, caloric restriction and mammographic density in Spanish women. DDM-Spain study. Maturitas. 117. 57–63. 1 indexed citations
10.
Fu, Marcela, Noémie Travier, Juan Carlos Martín‐Sánchez, et al.. (2018). Identifying high-risk individuals for lung cancer screening: Going beyond NLST criteria. PLoS ONE. 13(4). e0195441–e0195441. 4 indexed citations
11.
Lope, Virginia, Carmen Sánchez‐Contador, Pilar Moreo, et al.. (2017). High Mammographic Density in Long-Term Night-Shift Workers: DDM-Spain/Var-DDM. Cancer Epidemiology Biomarkers & Prevention. 26(6). 905–913. 5 indexed citations
12.
Posso, Margarita, Josep Corominas, Laia Serrano, et al.. (2017). Biomarkers expression in benign breast diseases and risk of subsequent breast cancer: a case–control study. Cancer Medicine. 6(6). 1482–1489. 10 indexed citations
13.
Benito‐Aracil, Llúcia, et al.. (2017). Factors related to longitudinal adherence in colorectal cancer screening: qualitative research findings. Cancer Causes & Control. 29(1). 103–114. 13 indexed citations
14.
Lope, Virginia, Javier García‐Pérez, Beatriz Pérez‐Gómez, et al.. (2017). Occupational exposures and mammographic density in Spanish women. Occupational and Environmental Medicine. 75(2). 124–131. 11 indexed citations
15.
Lope, Virginia, Pilar Moreo, Nieves Ascunce, et al.. (2017). Sleep patterns, sleep disorders and mammographic density in spanish women: The DDM-Spain/Var-DDM study. Maturitas. 99. 105–108. 2 indexed citations
16.
Zamora‐Ros, Raúl, Elisabet Guinó, M. Henar Alonso, et al.. (2015). Dietary flavonoids, lignans and colorectal cancer prognosis. Scientific Reports. 5(1). 14148–14148. 20 indexed citations
17.
Castells, Xavier, Laia Domingo, Josep Corominas, et al.. (2014). Breast cancer risk after diagnosis by screening mammography of nonproliferative or proliferative benign breast disease: a study from a population-based screening program. Breast Cancer Research and Treatment. 149(1). 237–244. 50 indexed citations
18.
Lope, Virginia, et al.. (2011). Validation of obesity based on self-reported data in Spanish women participants in breast cancer screening programmes. BMC Public Health. 11(1). 960–960. 11 indexed citations
19.
Cabanes, Anna, Roberto Pastor‐Barriuso, Carmen Sánchez‐Contador, et al.. (2011). Alcohol, tobacco, and mammographic density: a population-based study. Breast Cancer Research and Treatment. 129(1). 135–147. 50 indexed citations
20.
Garrido‐Estepa, Macarena, Nieves Ascunce, Carmen Sánchez‐Contador, et al.. (2010). Evaluation of mammographic density patterns: reproducibility and concordance among scales. BMC Cancer. 10(1). 485–485. 44 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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