Pedro P. Medina

4.6k total citations · 1 hit paper
60 papers, 3.4k citations indexed

About

Pedro P. Medina is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Pedro P. Medina has authored 60 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 16 papers in Cancer Research and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Pedro P. Medina's work include Chromatin Remodeling and Cancer (15 papers), Cancer Mechanisms and Therapy (10 papers) and MicroRNA in disease regulation (8 papers). Pedro P. Medina is often cited by papers focused on Chromatin Remodeling and Cancer (15 papers), Cancer Mechanisms and Therapy (10 papers) and MicroRNA in disease regulation (8 papers). Pedro P. Medina collaborates with scholars based in Spain, United States and Morocco. Pedro P. Medina's co-authors include Frank J. Slack, Montse Sánchez‐Céspedes, Julián Carretero, Rubén Pı́o, Luis M. Montuenga, Lynnsie Ruffino, Andreas G. Bader, David Brown, Joanne B. Weidhaas and Kevin Kelnar and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Pedro P. Medina

57 papers receiving 3.3k citations

Hit Papers

OncomiR addiction in an in vivo model of microRNA-21-indu... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro P. Medina Spain 26 2.8k 1.6k 462 453 289 60 3.4k
Cátia Moutinho Spain 27 2.2k 0.8× 1.2k 0.7× 481 1.0× 816 1.8× 291 1.0× 35 3.0k
Ri Cui China 32 2.0k 0.7× 1.3k 0.8× 270 0.6× 467 1.0× 324 1.1× 76 2.9k
Yujuan Dong China 32 2.9k 1.0× 1.9k 1.2× 231 0.5× 670 1.5× 327 1.1× 48 3.7k
Nicola Amodio Italy 36 2.8k 1.0× 1.8k 1.1× 398 0.9× 538 1.2× 104 0.4× 83 3.4k
Catia Giovannini Italy 25 2.5k 0.9× 2.0k 1.2× 241 0.5× 930 2.1× 180 0.6× 52 3.6k
Jiong Bi China 27 1.7k 0.6× 1.0k 0.6× 169 0.4× 594 1.3× 265 0.9× 51 2.5k
Xinhua Xie China 33 2.1k 0.7× 1.8k 1.1× 169 0.4× 870 1.9× 524 1.8× 76 3.1k
Hirofumi Yoshino Japan 40 3.7k 1.3× 3.2k 2.0× 219 0.5× 385 0.8× 504 1.7× 90 4.5k
Caiping Ren China 31 1.7k 0.6× 896 0.6× 187 0.4× 543 1.2× 296 1.0× 116 2.6k

Countries citing papers authored by Pedro P. Medina

Since Specialization
Citations

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

Fields of papers citing papers by Pedro P. Medina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro P. Medina

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro P. Medina. A scholar is included among the top collaborators of Pedro P. Medina 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 Pedro P. Medina. Pedro P. Medina 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.
Álvarez-Pérez, Juan Carlos, Álvaro Andrades, Silvia Calabuig‐Fariñas, et al.. (2025). High-fidelity Cas9-mediated targeting of KRAS driver mutations restrains lung cancer in preclinical models. Nature Communications. 16(1). 7080–7080.
3.
Miao, Zhen, Kari Koppitch, Victoria M.-Y. Wang, et al.. (2025). Controlling nephron precursor differentiation to generate proximal-biased kidney organoids with emerging maturity. Nature Communications. 16(1). 8136–8136. 1 indexed citations
4.
Andrades, Álvaro, et al.. (2023). BCL7A is silenced by hypermethylation to promote acute myeloid leukemia. Biomarker Research. 11(1). 32–32. 6 indexed citations
5.
Andrades, Álvaro, et al.. (2023). SWI/SNF complexes in hematological malignancies: biological implications and therapeutic opportunities. Molecular Cancer. 22(1). 39–39. 30 indexed citations
6.
Andrades, Álvaro, et al.. (2022). Recurrent splice site mutations affect key diffuse large B-cell lymphoma genes. Blood. 139(15). 2406–2410. 6 indexed citations
7.
Boyero, Laura, María Esther Fárez‐Vidal, María Isabel Rodríguez, et al.. (2022). PKP1 and MYC create a feedforward loop linking transcription and translation in squamous cell lung cancer. Cellular Oncology. 45(2). 323–332. 7 indexed citations
8.
López-Onieva, Lourdes, Jordi Martorell‐Marugán, Carmen Griñán‐Lisón, et al.. (2022). EZH2 endorses cell plasticity to non-small cell lung cancer cells facilitating mesenchymal to epithelial transition and tumour colonization. Oncogene. 41(28). 3611–3624. 18 indexed citations
9.
Romero, Octavio A., Juan J. Alburquerque-Béjar, Antonio Gómez, et al.. (2021). SMARCA4 deficient tumours are vulnerable to KDM6A/UTX and KDM6B/JMJD3 blockade. Nature Communications. 12(1). 4319–4319. 36 indexed citations
10.
Liu, Chun, Pedro P. Medina, Dilip Thomas, et al.. (2021). A protocol for transdifferentiation of human cardiac fibroblasts into endothelial cells via activation of innate immunity. STAR Protocols. 2(2). 100556–100556. 2 indexed citations
11.
Andrades, Álvaro, et al.. (2020). LncRNA DLG2-AS1 as a Novel Biomarker in Lung Adenocarcinoma. Cancers. 12(8). 2080–2080. 8 indexed citations
12.
Andrades, Álvaro, María Isabel Rodríguez, Juan Carlos Álvarez-Pérez, et al.. (2020). Comprehensive Analysis of SWI/SNF Inactivation in Lung Adenocarcinoma Cell Models. Cancers. 12(12). 3712–3712. 6 indexed citations
13.
Andrades, Álvaro, María Isabel Rodríguez, Juan Carlos Álvarez-Pérez, et al.. (2020). LncRNA-mRNA Co-Expression Analysis Identifies AL133346.1/CCN2 as Biomarkers in Pediatric B-Cell Acute Lymphoblastic Leukemia. Cancers. 12(12). 3803–3803. 7 indexed citations
14.
Cuadros, Marta, et al.. (2019). Expression of Concern: BRG1 regulation by miR-155 in human leukemia and lymphoma cell lines. Clinical & Translational Oncology. 21(11). 1581–1581. 1 indexed citations
15.
Rodríguez, María Isabel, et al.. (2019). EP1.14-25 Development of New Lung Cancer Therapies Based on Gene-Editing Technologies. Journal of Thoracic Oncology. 14(10). S1041–S1041. 1 indexed citations
16.
Granados, Rosario, et al.. (2017). Cervical cancer screening cotesting with cytology and MRNA HPV E6/E7 yields high rates of CIN2+ lesions in young women. Diagnostic Cytopathology. 45(12). 1065–1072. 5 indexed citations
17.
Pérez‐Jiménez, Amalia, Eva E. Rufino‐Palomares, Fernando J. Reyes‐Zurita, et al.. (2016). Target molecules in 3T3-L1 adipocytes differentiation are regulated by maslinic acid, a natural triterpene from Olea europaea. Phytomedicine. 23(12). 1301–1311. 28 indexed citations
18.
Palma, P., Marta Cuadros, Carmen Olmedo, et al.. (2013). Microarray Profiling of Mononuclear Peripheral Blood Cells Identifies Novel Candidate Genes Related to Chemoradiation Response in Rectal Cancer. PLoS ONE. 8(9). e74034–e74034. 10 indexed citations
19.
20.
Medina, Pedro P., et al.. (2008). Potencial productivo del ganado Romosinuano, Bon, Cebú y sus cruzamientos en el Valle del Sinú y Bajo Cauca Antioqueño. Corporación Colombiana de Investigación Agropecuaria (Agrosavia) eBooks. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026