Joana Ferrer

569 total citations
21 papers, 350 citations indexed

About

Joana Ferrer is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Joana Ferrer has authored 21 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Cancer Research and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Joana Ferrer's work include Global Cancer Incidence and Screening (16 papers), Breast Cancer Treatment Studies (12 papers) and Breast Lesions and Carcinomas (11 papers). Joana Ferrer is often cited by papers focused on Global Cancer Incidence and Screening (16 papers), Breast Cancer Treatment Studies (12 papers) and Breast Lesions and Carcinomas (11 papers). Joana Ferrer collaborates with scholars based in Spain, United States and Norway. Joana Ferrer's co-authors include María Sala, Xavier Castells, Laia Domingo, Marisa Baré, Marta Román, Josep Comet, Joaquim Barceló, Joan C. Vilanova, Josefa Ibáñez and Dolores Salas and has published in prestigious journals such as PLoS ONE, Radiology and British Journal of Cancer.

In The Last Decade

Joana Ferrer

21 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joana Ferrer Spain 11 205 144 131 92 91 21 350
Biren A. Shah United States 6 140 0.7× 159 1.1× 123 0.9× 202 2.2× 166 1.8× 20 413
David Spak United States 5 93 0.5× 90 0.6× 71 0.5× 70 0.8× 153 1.7× 10 335
Dorothy A. Sippo United States 13 117 0.6× 115 0.8× 102 0.8× 152 1.7× 110 1.2× 20 566
Delia M. Keating United States 13 120 0.6× 203 1.4× 174 1.3× 193 2.1× 118 1.3× 17 539
Daisuke Yotsumoto Japan 9 111 0.5× 58 0.4× 121 0.9× 82 0.9× 46 0.5× 21 296
Mária Gere Sweden 9 116 0.6× 106 0.7× 194 1.5× 148 1.6× 39 0.4× 13 336
Carmen van Dooijeweert Netherlands 11 131 0.6× 65 0.5× 105 0.8× 42 0.5× 116 1.3× 29 304
M. Meier-Meitinger Germany 13 92 0.4× 170 1.2× 142 1.1× 84 0.9× 137 1.5× 28 432
Anne C. Kushwaha United States 8 166 0.8× 272 1.9× 103 0.8× 138 1.5× 225 2.5× 12 471
Wendy Wu China 10 168 0.8× 80 0.6× 118 0.9× 45 0.5× 58 0.6× 22 308

Countries citing papers authored by Joana Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Joana Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joana Ferrer

This figure shows the co-authorship network connecting the top 25 collaborators of Joana Ferrer. A scholar is included among the top collaborators of Joana Ferrer 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 Joana Ferrer. Joana Ferrer 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.
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
2.
Louro, Javier, Marta Román, Margarita Posso, et al.. (2020). Differences in breast cancer risk after benign breast disease by type of screening diagnosis. The Breast. 54. 343–348. 12 indexed citations
3.
Domingo, Laia, Javier Louro, Teresa Barata, et al.. (2019). Factors associated with readmissions in women participating in screening programs and treated for breast cancer: a retrospective cohort study. BMC Health Services Research. 19(1). 940–940. 2 indexed citations
4.
Domingo, Laia, María Sala, Javier Louro, et al.. (2019). Exploring the Role of Breast Density on Cancer Prognosis among Women Attending Population-Based Screening Programmes. Journal of Oncology. 2019. 1–8. 1 indexed citations
5.
Louro, Javier, Teresa Barata, Marisa Baré, et al.. (2018). Variabilidad en la práctica de la cirugía mamaria en mujeres participantes en el programa de cribado poblacional de cáncer de mama. Cirugía Española. 97(2). 89–96. 4 indexed citations
6.
Román, Marta, Josep Alfons Espinàs, María Sala, et al.. (2018). Clinical and histologic characteristics of breast cancers in women with previous pathologic diagnosis of benign breast disease in Spain. The Breast Journal. 24(4). 509–518. 1 indexed citations
7.
Sala, María, Laia Domingo, Javier Louro, et al.. (2018). Survival and Disease-Free Survival by Breast Density and Phenotype in Interval Breast Cancers. Cancer Epidemiology Biomarkers & Prevention. 27(8). 908–916. 8 indexed citations
8.
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
9.
10.
Castells, Xavier, Isabel Torá‐Rocamora, Margarita Posso, et al.. (2016). Risk of Breast Cancer in Women with False-Positive Results according to Mammographic Features. Radiology. 280(2). 379–386. 33 indexed citations
11.
Torá‐Rocamora, Isabel, Marisa Baré, Teresa Barata, et al.. (2016). Prevalence of persistent pain after breast cancer treatment by detection mode among participants in population-based screening programs. BMC Cancer. 16(1). 735–735. 14 indexed citations
12.
Baré, Marisa, Dolores Salas, Melcior Sentís, et al.. (2015). Mammographic and clinical characteristics of different phenotypes of screen-detected and interval breast cancers in a nationwide screening program. Breast Cancer Research and Treatment. 154(2). 403–415. 36 indexed citations
13.
Blanch, Jordi, María Sala, Josefa Ibáñez, et al.. (2014). Impact of Risk Factors on Different Interval Cancer Subtypes in a Population-Based Breast Cancer Screening Programme. PLoS ONE. 9(10). e110207–e110207. 22 indexed citations
14.
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
15.
Renart, Gemma, Joan Albanell, Joana Ferrer, et al.. (2014). Evaluation of the interval cancer rate and its determinants on the Girona health region’s early breast cancer detection program. BMC Cancer. 14(1). 558–558. 9 indexed citations
16.
Domingo, Laia, Jordi Blanch, Dolores Salas, et al.. (2013). Clinical and radiological features of breast tumors according to history of false-positive results in mammography screening. Cancer Epidemiology. 37(5). 660–665. 4 indexed citations
17.
18.
Sala, María, Dolores Salas, Francesc Belvis, et al.. (2011). Reduction in False-Positive Results after Introduction of Digital Mammography: Analysis from Four Population-based Breast Cancer Screening Programs in Spain. Radiology. 258(2). 388–395. 28 indexed citations
19.
Vilanova, Joan C., et al.. (2011). Usefulness of Prebiopsy Multifunctional and Morphologic MRI Combined With Free-to-Total Prostate-Specific Antigen Ratio in the Detection of Prostate Cancer. American Journal of Roentgenology. 196(6). W715–W722. 69 indexed citations
20.
Barceló, Joaquim, et al.. (2009). Resonancia magnética de mama: utilidad de la difusión para diferenciar entre lesiones benignas y malignas. Radiología. 51(5). 469–476. 3 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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