Alejandra Cervera

3.7k total citations · 1 hit paper
23 papers, 2.1k citations indexed

About

Alejandra Cervera is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Alejandra Cervera has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 5 papers in Cancer Research. Recurrent topics in Alejandra Cervera's work include Lymphoma Diagnosis and Treatment (6 papers), RNA modifications and cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). Alejandra Cervera is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), RNA modifications and cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). Alejandra Cervera collaborates with scholars based in Finland, Mexico and Norway. Alejandra Cervera's co-authors include Andrew McPherson, Pedro Madrigal, Daniel J. Gaffney, Michał Wojciech Szcześniak, Xuegong Zhang, David Gómez-Cabrero, Laura L. Elo, Ana Conesa, Sonia Tarazona and A Mortazavi and has published in prestigious journals such as Nature Genetics, Blood and Bioinformatics.

In The Last Decade

Alejandra Cervera

23 papers receiving 2.1k citations

Hit Papers

A survey of best practices for RNA-seq data analysis 2016 2026 2019 2022 2016 500 1000 1.5k

Peers

Alejandra Cervera
Damek V. Spacek United States
Qi Yin China
Ning Leng United States
Asta Laiho Finland
Odilo Mueller United States
Alejandra Cervera
Citations per year, relative to Alejandra Cervera Alejandra Cervera (= 1×) peers Andreas Schröeder

Countries citing papers authored by Alejandra Cervera

Since Specialization
Citations

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

Fields of papers citing papers by Alejandra Cervera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandra Cervera

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandra Cervera. A scholar is included among the top collaborators of Alejandra Cervera 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 Alejandra Cervera. Alejandra Cervera 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.
Cervera, Alejandra, Vanina D. Heuser, Gun West, et al.. (2024). PIK3R1 fusion drives chemoresistance in ovarian cancer by activating ERK1/2 and inducing rod and ring-like structures. Neoplasia. 51. 100987–100987. 1 indexed citations
2.
Carrillo‐Sánchez, Karol, et al.. (2024). Case report: A familial B-acute lymphoblastic leukemia associated with a new germline pathogenic variant in PAX5. The first report in Mexico. Frontiers in Oncology. 14. 1355335–1355335. 1 indexed citations
3.
Cervera, Alejandra, et al.. (2023). Machine Learning and COVID-19: Lessons from SARS-CoV-2. Advances in experimental medicine and biology. 1412. 311–335. 1 indexed citations
4.
González‐Barrios, Rodrigo, Nicolás Alcaraz, Alejandra Cervera, et al.. (2022). Genomic Profile in a Non-Seminoma Testicular Germ-Cell Tumor Cohort Reveals a Potential Biomarker of Sensitivity to Platinum-Based Therapy. Cancers. 14(9). 2065–2065. 6 indexed citations
5.
Sahu, Biswajyoti, Päivi Pihlajamaa, Kaiyang Zhang, et al.. (2021). Human cell transformation by combined lineage conversion and oncogene expression. Oncogene. 40(36). 5533–5547. 14 indexed citations
6.
Driver, Jane A., Judith Strymish, Barbara Hayes, et al.. (2021). Front‐Line innovation: Rapid implementation of a nurse‐driven protocol for care of outpatients with COVID‐19. Journal of Clinical Nursing. 30(11-12). 1564–1572. 13 indexed citations
7.
Cervera, Alejandra, Noora Andersson, Ville Rantanen, et al.. (2021). FUNGI: FUsioN Gene Integration toolset. Bioinformatics. 37(19). 3353–3355. 1 indexed citations
8.
Pihlajoki, Marjut, Noora Andersson, Johanna Tapper, et al.. (2020). Functional Profiling of FSH and Estradiol in Ovarian Granulosa Cell Tumors. Journal of the Endocrine Society. 4(4). bvaa034–bvaa034. 15 indexed citations
9.
Alkodsi, Amjad, Alejandra Cervera, Kaiyang Zhang, et al.. (2019). Distinct subtypes of diffuse large B-cell lymphoma defined by hypermutated genes. Leukemia. 33(11). 2662–2672. 22 indexed citations
10.
Gebreyohannes, Yemarshet K., Agnieszka Woźniak, Olli Tynninen, et al.. (2018). Anagrelide for Gastrointestinal Stromal Tumor. Clinical Cancer Research. 25(5). 1676–1687. 19 indexed citations
11.
Castel, Stephane E., Alejandra Cervera, Pejman Mohammadi, et al.. (2018). Modified penetrance of coding variants by cis-regulatory variation contributes to disease risk. Nature Genetics. 50(9). 1327–1334. 119 indexed citations
12.
Leivonen, Suvi‐Katri, Amjad Alkodsi, Alejandra Cervera, et al.. (2017). MicroRNAs regulate key cell survival pathways and mediate chemosensitivity during progression of diffuse large B-cell lymphoma. Blood Cancer Journal. 7(12). 654–654. 28 indexed citations
13.
Leivonen, Suvi‐Katri, Marja‐Riitta Taskinen, Alejandra Cervera, et al.. (2017). Alternative splicing discriminates molecular subtypes and has prognostic impact in diffuse large B-cell lymphoma. Blood Cancer Journal. 7(8). e596–e596. 19 indexed citations
14.
Conesa, Ana, Pedro Madrigal, Sonia Tarazona, et al.. (2016). A survey of best practices for RNA-seq data analysis. Genome biology. 17(1). 13–13. 1705 indexed citations breakdown →
15.
Chen, Ping, et al.. (2016). SePIA: RNA and small RNA sequence processing, integration, and analysis. BioData Mining. 9(1). 20–20. 21 indexed citations
16.
Meriranta, Leo, Annika Pasanen, Alejandra Cervera, et al.. (2016). Low Expression and Somatic Mutations of the KLHL6 Gene Predict Poor Survival in Patients with Activated B-Cell like Diffuse Large B-Cell Lymphoma. Blood. 128(22). 2926–2926. 4 indexed citations
17.
Autio, Matias, et al.. (2016). Low Expression of the CIITA Gene Predicts Poor Outcome in Diffuse Large B-Cell Lymphoma. Blood. 128(22). 2948–2948. 1 indexed citations
18.
Kaartokallio, Tea, Alejandra Cervera, Hannele Laivuori, et al.. (2015). Gene expression profiling of pre-eclamptic placentae by RNA sequencing. Scientific Reports. 5(1). 14107–14107. 69 indexed citations
19.
Ovaska, Kristian, Filomena Matarese, Korbinian Grote, et al.. (2013). Integrative Analysis of Deep Sequencing Data Identifies Estrogen Receptor Early Response Genes and Links ATAD3B to Poor Survival in Breast Cancer. PLoS Computational Biology. 9(6). e1003100–e1003100. 9 indexed citations
20.
Taskinen, Minna, Ping Chen, Marja‐Liisa Karjalainen‐Lindsberg, et al.. (2012). Alternative Splicing and Expression of Class II Tubulin Beta (TUBB2B) Are Associated with Outcome in Diffuse Large B-Cell Lymphoma. Blood. 120(21). 1557–1557. 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.

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