A. Celma

1.1k total citations
97 papers, 727 citations indexed

About

A. Celma is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Molecular Biology. According to data from OpenAlex, A. Celma has authored 97 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Pulmonary and Respiratory Medicine, 31 papers in Rheumatology and 20 papers in Molecular Biology. Recurrent topics in A. Celma's work include Prostate Cancer Diagnosis and Treatment (64 papers), Prostate Cancer Treatment and Research (63 papers) and Urologic and reproductive health conditions (25 papers). A. Celma is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (64 papers), Prostate Cancer Treatment and Research (63 papers) and Urologic and reproductive health conditions (25 papers). A. Celma collaborates with scholars based in Spain, Palestinian Territory and United Kingdom. A. Celma's co-authors include Juan Moróte, Jacques Planas, Lucas Regis, J. Placer, Enrique Trilla, Inés M. de Torres, Inés de Torres, Mireia Oliván, Andreas Doll and Jaume Reventós and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The Journal of Urology.

In The Last Decade

A. Celma

88 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Celma Spain 13 530 170 170 149 106 97 727
Masaki Shimbo Japan 14 484 0.9× 162 1.0× 82 0.5× 101 0.7× 169 1.6× 51 672
Ignacio F. San Francisco Chile 16 588 1.1× 157 0.9× 188 1.1× 60 0.4× 114 1.1× 35 823
Laurence Klotz Canada 10 571 1.1× 238 1.4× 43 0.3× 150 1.0× 87 0.8× 23 741
G. Bartsch Austria 16 376 0.7× 161 0.9× 78 0.5× 64 0.4× 135 1.3× 50 638
Kasper Drimer Berg Denmark 14 486 0.9× 117 0.7× 68 0.4× 106 0.7× 41 0.4× 48 626
Takehiro Sejima Japan 17 367 0.7× 246 1.4× 123 0.7× 176 1.2× 53 0.5× 71 834
Lisa Moris Belgium 13 281 0.5× 77 0.5× 55 0.3× 72 0.5× 41 0.4× 36 450
Niels Borgstein United States 12 175 0.3× 180 1.1× 89 0.5× 48 0.3× 54 0.5× 21 594
Michelle H. Braccioforte United States 18 662 1.2× 100 0.6× 92 0.5× 88 0.6× 106 1.0× 52 786
Hirotaka Asakura Japan 13 282 0.5× 108 0.6× 86 0.5× 69 0.5× 31 0.3× 48 558

Countries citing papers authored by A. Celma

Since Specialization
Citations

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

Fields of papers citing papers by A. Celma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Celma

This figure shows the co-authorship network connecting the top 25 collaborators of A. Celma. A scholar is included among the top collaborators of A. Celma 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 A. Celma. A. Celma 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
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Garcı́a, Javier Garcı́a, A. Celma, Juan Moróte, et al.. (2024). Association of the rs1042522 SNP with prostate cancer risk: a study of cancer tissues, primary tumor cultures, and serum samples from a Spanish Caucasian population. Frontiers in Oncology. 14. 1398411–1398411. 2 indexed citations
4.
Moróte, Juan, et al.. (2024). Validation of the Barcelona-MRI predictive model when PI-RADS v2.1 is used with transperineal prostate biopsies. International braz j urol. 50(5). 595–604. 2 indexed citations
5.
Moróte, Juan, A. Celma, Olga Méndez, & Enrique Trilla. (2024). Sequencing the Barcelona‐MRI predictive model and Proclarix for improving the uncertain PI‐RADS 3. SHILAP Revista de lepidopterología. 5(12). 1252–1254.
6.
Moróte, Juan, Ángel Borque‐Fernando, Luis Esteban, et al.. (2024). Investigating Efficient Risk-Stratified Pathways for the Early Detection of Clinically Significant Prostate Cancer. Journal of Personalized Medicine. 14(2). 130–130. 1 indexed citations
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Celma, A., et al.. (2022). Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review. Cancers. 14(19). 4747–4747. 16 indexed citations
9.
Moróte, Juan, Lucas Regis, A. Celma, et al.. (2022). Who with suspected prostate cancer can benefit from Proclarix after multiparametric magnetic resonance imaging?. The International Journal of Biological Markers. 37(2). 218–223. 3 indexed citations
10.
Regis, Lucas, Mathias Winkler, Nicolás Valdés Ortega, et al.. (2022). Multiparametric MRI for Staging of Prostate Cancer: A Multicentric Analysis of Predictive Factors to Improve Identification of Extracapsular Extension before Radical Prostatectomy. Cancers. 14(16). 3966–3966. 7 indexed citations
11.
Moróte, Juan, Ángel Borque‐Fernando, A. Celma, et al.. (2022). Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy. Cancers. 14(10). 2374–2374. 3 indexed citations
12.
Moróte, Juan, Ángel Borque‐Fernando, A. Celma, et al.. (2022). Multiparametric Magnetic Resonance Imaging Grades the Aggressiveness of Prostate Cancer. Cancers. 14(7). 1828–1828. 8 indexed citations
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Moróte, Juan, Ángel Borque‐Fernando, A. Celma, et al.. (2022). The Barcelona Predictive Model of Clinically Significant Prostate Cancer. Cancers. 14(6). 1589–1589. 22 indexed citations
15.
Moróte, Juan, Lucas Regis, A. Celma, et al.. (2022). Comparison of Proclarix, PSA Density and MRI-ERSPC Risk Calculator to Select Patients for Prostate Biopsy after mpMRI. Cancers. 14(11). 2702–2702. 4 indexed citations
16.
Moróte, Juan, A. Celma, Lucas Regis, et al.. (2022). The Efficacy of Proclarix to Select Appropriate Candidates for Magnetic Resonance Imaging and Derived Prostate Biopsies in Men with Suspected Prostate Cancer. The World Journal of Men s Health. 40(2). 270–270. 9 indexed citations
17.
Moróte, Juan, A. Celma, & Jacques Planas. (2021). Are Multiparametric Magnetic Resonance Imaging and Guided Biopsies Needed in Men with Normal Digital Rectal Examination and Prostatic-specific Antigen >20 ng/ml?. European Urology Oncology. 4(2). 334–335. 1 indexed citations
18.
Regis, Lucas, Jacques Planas, A. Celma, et al.. (2021). A Randomised Controlled Trial to Assess the Benefit of Posterior Rhabdosphincter Reconstruction in Early Urinary Continence Recovery after Robot-assisted Radical Prostatectomy. European Urology Oncology. 5(4). 460–463. 7 indexed citations
19.
Moróte, Juan, A. Celma, S. Roche, et al.. (2021). The current recommendation for the management of isolated high‐grade prostatic intraepithelial neoplasia. British Journal of Urology. 129(5). 627–633. 7 indexed citations
20.
Borque‐Fernando, Ángel, Luis Esteban, A. Celma, et al.. (2019). How to implement magnetic resonance imaging before prostate biopsy in clinical practice: nomograms for saving biopsies. World Journal of Urology. 38(6). 1481–1491. 8 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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