Javier Lanillos

411 total citations
10 papers, 97 citations indexed

About

Javier Lanillos is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Javier Lanillos has authored 10 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Javier Lanillos's work include Renal cell carcinoma treatment (5 papers), Renal and related cancers (3 papers) and Genomics and Rare Diseases (2 papers). Javier Lanillos is often cited by papers focused on Renal cell carcinoma treatment (5 papers), Renal and related cancers (3 papers) and Genomics and Rare Diseases (2 papers). Javier Lanillos collaborates with scholars based in Spain, Sweden and Estonia. Javier Lanillos's co-authors include Cristina Rodríguez‐Antona, María Santos, Mercedes Robledo, Juan María Roldán‐Romero, Alberto Cascón, Cristina Montero‐Conde, Ángel M. Martínez‐Montes, Bruna Calsina, Luis J. Leandro‐García and María Monteagudo and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Cancer and The Oncologist.

In The Last Decade

Javier Lanillos

8 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Lanillos Spain 6 56 47 35 28 12 10 97
Adem Albayrak United States 6 45 0.8× 33 0.7× 33 0.9× 66 2.4× 8 0.7× 7 129
Laurence Faugeras Belgium 6 61 1.1× 22 0.5× 45 1.3× 39 1.4× 8 0.7× 9 128
Kimiyoshi Sakaguchi Japan 6 68 1.2× 11 0.2× 26 0.7× 12 0.4× 5 0.4× 16 141
Liang Bu China 10 97 1.7× 107 2.3× 51 1.5× 29 1.0× 3 0.3× 20 218
Yuanqiang Dong China 7 56 1.0× 31 0.7× 40 1.1× 13 0.5× 3 0.3× 9 107
Liu-Song Wu China 6 73 1.3× 10 0.2× 32 0.9× 16 0.6× 4 0.3× 14 145
Monica T. Hannani Denmark 3 43 0.8× 38 0.8× 32 0.9× 15 0.5× 2 0.2× 5 97
Brian Hanratty United States 6 40 0.7× 52 1.1× 19 0.5× 22 0.8× 10 89
Xiaopeng Sun United States 7 39 0.7× 23 0.5× 21 0.6× 79 2.8× 3 0.3× 14 141

Countries citing papers authored by Javier Lanillos

Since Specialization
Citations

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

Fields of papers citing papers by Javier Lanillos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Lanillos

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

All Works

10 of 10 papers shown
2.
Santos, María, Javier Lanillos, Eduardo Caleiras, et al.. (2023). PBRM1 and KDM5C cooperate to define high-angiogenesis tumors and increased antiangiogenic response in renal cancer.. PubMed. 13(5). 2116–2125. 3 indexed citations
3.
Roldán‐Romero, Juan María, María Santos, Javier Lanillos, et al.. (2023). Deubiquitinase USP9X loss sensitizes renal cancer cells to mTOR inhibition. International Journal of Cancer. 153(6). 1300–1312. 5 indexed citations
4.
Lanillos, Javier, et al.. (2022). Clinical pharmacogenetic analysis in 5,001 individuals with diagnostic Exome Sequencing data. npj Genomic Medicine. 7(1). 12–12. 15 indexed citations
5.
Grande, Enrique, Cristina Rodríguez‐Antona, Carlos López, et al.. (2021). Sunitinib and Evofosfamide (TH-302) in Systemic Treatment-Naïve Patients with Grade 1/2 Metastatic Pancreatic Neuroendocrine Tumors: The GETNE-1408 Trial. The Oncologist. 26(11). 941–949. 16 indexed citations
6.
Santos, María, Javier Lanillos, Juan María Roldán‐Romero, et al.. (2021). Prevalence of pathogenic germline variants in patients with metastatic renal cell carcinoma. Genetics in Medicine. 23(4). 698–704. 13 indexed citations
7.
Coloma, Javier Pardo de Santayana y, Bruna Calsina, María Monteagudo, et al.. (2020). Novel DNMT3A Germline Variant in a Patient with Multiple Paragangliomas and Papillary Thyroid Carcinoma. Cancers. 12(11). 3304–3304. 9 indexed citations
8.
Roldán‐Romero, Juan María, María Santos, Javier Lanillos, et al.. (2020). Molecular characterization of chromophobe renal cell carcinoma reveals mTOR pathway alterations in patients with poor outcome. Modern Pathology. 33(12). 2580–2590. 34 indexed citations
9.
Maroto, Pablo, Geòrgia Anguera, Eduardo Caleiras, et al.. (2020). mTOR pathway alterations in chromophobe renal cell carcinoma: Impact on metastasis development and overall survival.. Journal of Clinical Oncology. 38(6_suppl). 712–712.
10.
Lanillos, Javier, María Santos, Juan María Roldán‐Romero, et al.. (2020). A Novel Approach for the Identification of Pharmacogenetic Variants in MT-RNR1 through Next-Generation Sequencing Off-Target Data. Journal of Clinical Medicine. 9(7). 2082–2082. 2 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