Julia Ramírez-Moya

1.2k total citations · 1 hit paper
8 papers, 852 citations indexed

About

Julia Ramírez-Moya is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Julia Ramírez-Moya has authored 8 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Julia Ramírez-Moya's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Julia Ramírez-Moya is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Julia Ramírez-Moya collaborates with scholars based in Spain, United States and United Kingdom. Julia Ramírez-Moya's co-authors include Pilar Santisteban, Frank J. Slack, Richard I. Gregory, León Wert-Lamas, William G. Richards, Peng Du, Shuibin Lin, Shaojun Tang, Wantae Kim and Piotr Sliz and has published in prestigious journals such as Nature, Oncogene and Scientific Reports.

In The Last Decade

Julia Ramírez-Moya

8 papers receiving 849 citations

Hit Papers

mRNA circularization by METTL3–eIF3h enhances translation... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Ramírez-Moya Spain 6 788 410 100 51 40 8 852
Benjamin Onyeagucha United States 9 474 0.6× 279 0.7× 43 0.4× 17 0.3× 63 1.6× 13 575
Xingya Guo China 9 583 0.7× 404 1.0× 39 0.4× 19 0.4× 61 1.5× 14 660
Yuanchang Hu China 9 379 0.5× 221 0.5× 28 0.3× 7 0.1× 71 1.8× 14 502
Yubin Lei China 10 250 0.3× 129 0.3× 11 0.1× 26 0.5× 108 2.7× 22 386
Guofu Huang China 13 420 0.5× 230 0.6× 11 0.1× 5 0.1× 67 1.7× 20 526
Jiadong Wang China 10 337 0.4× 222 0.5× 4 0.0× 57 1.1× 91 2.3× 15 458
Hai‐Yu Mo China 9 350 0.4× 239 0.6× 8 0.1× 7 0.1× 95 2.4× 13 513
Xiangqian Zheng China 11 389 0.5× 299 0.7× 4 0.0× 39 0.8× 90 2.3× 25 510

Countries citing papers authored by Julia Ramírez-Moya

Since Specialization
Citations

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

Fields of papers citing papers by Julia Ramírez-Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Ramírez-Moya. 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 Julia Ramírez-Moya. The network helps show where Julia Ramírez-Moya may publish in the future.

Co-authorship network of co-authors of Julia Ramírez-Moya

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Ramírez-Moya. A scholar is included among the top collaborators of Julia Ramírez-Moya 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 Julia Ramírez-Moya. Julia Ramírez-Moya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Ramírez-Moya, Julia, León Wert-Lamas, Alice Fletcher, et al.. (2022). Identification of an interactome network between lncRNAs and miRNAs in thyroid cancer reveals SPTY2D1-AS1 as a new tumor suppressor. Scientific Reports. 12(1). 7706–7706. 5 indexed citations
2.
Ramírez-Moya, Julia, et al.. (2021). An ADAR1-dependent RNA editing event in the cyclin-dependent kinase CDK13 promotes thyroid cancer hallmarks. Molecular Cancer. 20(1). 115–115. 41 indexed citations
3.
Ramírez-Moya, Julia & Pilar Santisteban. (2020). A Positive Feedback Loop Between DICER1 and Differentiation Transcription Factors Is Important for Thyroid Tumorigenesis. Thyroid. 31(6). 912–921. 4 indexed citations
4.
Ramírez-Moya, Julia, Allison R. Baker, Frank J. Slack, & Pilar Santisteban. (2020). ADAR1-mediated RNA editing is a novel oncogenic process in thyroid cancer and regulates miR-200 activity. Oncogene. 39(18). 3738–3753. 75 indexed citations
5.
Ramírez-Moya, Julia, León Wert-Lamas, Garcilaso Riesco‐Eizaguirre, & Pilar Santisteban. (2019). Impaired microRNA processing by DICER1 downregulation endows thyroid cancer with increased aggressiveness. Oncogene. 38(27). 5486–5499. 51 indexed citations
6.
Ramírez-Moya, Julia & Pilar Santisteban. (2019). miRNA-Directed Regulation of the Main Signaling Pathways in Thyroid Cancer. Frontiers in Endocrinology. 10. 430–430. 31 indexed citations
7.
Ramírez-Moya, Julia, León Wert-Lamas, & Pilar Santisteban. (2018). MicroRNA-146b promotes PI3K/AKT pathway hyperactivation and thyroid cancer progression by targeting PTEN. Oncogene. 37(25). 3369–3383. 78 indexed citations
8.
Choe, Junho, Shuibin Lin, Wen Cai Zhang, et al.. (2018). mRNA circularization by METTL3–eIF3h enhances translation and promotes oncogenesis. Nature. 561(7724). 556–560. 567 indexed citations breakdown →

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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