Lola E. Navas

572 total citations · 1 hit paper
8 papers, 407 citations indexed

About

Lola E. Navas is a scholar working on Oncology, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Lola E. Navas has authored 8 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Lola E. Navas's work include Autophagy in Disease and Therapy (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Cancer Cells and Metastasis (2 papers). Lola E. Navas is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Cancer Cells and Metastasis (2 papers). Lola E. Navas collaborates with scholars based in Spain, Australia and Japan. Lola E. Navas's co-authors include Amancio Carnero, Masayuki Umeda, Antonio Lucena-Cacace, Blanca Felipe‐Abrio, Sandra Muñoz-Galván, Eva M. Verdugo‐Sivianes, José Manuel García-Heredia, Juan Marín, Adoración G. Quiroga and Purificación Estévez-García and has published in prestigious journals such as SHILAP Revista de lepidopterología, Signal Transduction and Targeted Therapy and Oncotarget.

In The Last Decade

Lola E. Navas

7 papers receiving 403 citations

Hit Papers

NAD+ metabolism, stemness, the immune response, and cancer 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lola E. Navas Spain 5 203 121 97 82 56 8 407
Yan Mo China 8 341 1.7× 168 1.4× 112 1.2× 197 2.4× 38 0.7× 12 583
Tulip Nandu United States 10 331 1.6× 281 2.3× 90 0.9× 72 0.9× 79 1.4× 21 590
Ljudmila Solovjeva Russia 11 281 1.4× 107 0.9× 58 0.6× 82 1.0× 55 1.0× 19 401
Francesca Pierella Italy 6 211 1.0× 141 1.2× 140 1.4× 14 0.2× 91 1.6× 7 382
Paola Giglio Italy 9 204 1.0× 50 0.4× 28 0.3× 43 0.5× 21 0.4× 13 359
Michael Elser Switzerland 3 384 1.9× 400 3.3× 87 0.9× 44 0.5× 149 2.7× 3 671
Lanya Li China 7 285 1.4× 132 1.1× 42 0.4× 79 1.0× 13 0.2× 12 433
Franciele Kipper United States 12 214 1.1× 89 0.7× 9 0.1× 77 0.9× 65 1.2× 20 437
Elisa Elena Baracco France 9 179 0.9× 122 1.0× 11 0.1× 44 0.5× 24 0.4× 13 407
Vincenzo Giansanti Italy 10 260 1.3× 92 0.8× 24 0.2× 50 0.6× 21 0.4× 15 435

Countries citing papers authored by Lola E. Navas

Since Specialization
Citations

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

Fields of papers citing papers by Lola E. Navas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lola E. Navas. 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 Lola E. Navas. The network helps show where Lola E. Navas may publish in the future.

Co-authorship network of co-authors of Lola E. Navas

This figure shows the co-authorship network connecting the top 25 collaborators of Lola E. Navas. A scholar is included among the top collaborators of Lola E. Navas 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 Lola E. Navas. Lola E. Navas 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.
Navas, Lola E., Eva M. Verdugo‐Sivianes, Eduardo Domínguez, et al.. (2023). NAD pool as an antitumor target against cancer stem cells in head and neck cancer. Journal of Experimental & Clinical Cancer Research. 42(1). 55–55. 7 indexed citations
2.
Navas, Lola E. & Amancio Carnero. (2021). NAD+ metabolism, stemness, the immune response, and cancer. Signal Transduction and Targeted Therapy. 6(1). 2–2. 320 indexed citations breakdown →
3.
Muñoz-Galván, Sandra, Blanca Felipe‐Abrio, Eva M. Verdugo‐Sivianes, et al.. (2019). New markers for human ovarian cancer that link platinum resistance to the cancer stem cell phenotype and define new therapeutic combinations and diagnostic tools. Journal of Experimental & Clinical Cancer Research. 38(1). 234–234. 34 indexed citations
4.
Lucena-Cacace, Antonio, Masayuki Umeda, Lola E. Navas, & Amancio Carnero. (2019). NAMPT as a Dedifferentiation-Inducer Gene: NAD+ as Core Axis for Glioma Cancer Stem-Like Cells Maintenance. Frontiers in Oncology. 9. 292–292. 27 indexed citations
5.
Verdugo‐Sivianes, Eva M., Mónica Pereira Garcia, Lola E. Navas, et al.. (2018). PO-433 Prognostic relevance of PP1 in breast cancer. ESMO Open. 3. A401–A401.
6.
Muñoz-Galván, Sandra, Blanca Felipe‐Abrio, Eva M. Verdugo‐Sivianes, et al.. (2018). PO-106 Downregulation of MYPT increases tumorigenesis and resistance to platin drugs in ovarian cancer. ESMO Open. 3. A62–A62. 1 indexed citations
7.
Verdugo‐Sivianes, Eva M., Lola E. Navas, Sonia Molina‐Pinelo, et al.. (2017). Coordinated downregulation of Spinophilin and the catalytic subunits of PP1, PPP1CA/B/C, contributes to a worse prognosis in lung cancer. Oncotarget. 8(62). 105196–105210. 16 indexed citations
8.
Carnero, Amancio, Marco Pérez, & Lola E. Navas. (2016). Patient-derived xenografts as models for personalized medicine research in cancer. SHILAP Revista de lepidopterología. 2(6). 197–197. 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.

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