Lola E. Navas

572 citations
8 papers · 407 · 1 hit paper · h-index 5

Impact in

Papers in

    • Cancer Cells and Metastasis 2
    • Peptidase Inhibition and Analysis 1
    • PARP inhibition in cancer therapy 1
    • Cancer-related gene regulation 1
    • Signaling Pathways in Disease 1
    • Histone Deacetylase Inhibitors Research 1

Lola E. Navas

7 papers receiving 403 citations

Lola E. Navas's Hit Papers

NAD+ metabolism, stemness, the immune response, and cancer 2021 · 320 citations
3200+1+3Years since publication100200300

Peers

Lola E. Navas
Comparison fields: 5 of 81
  • Geriatrics and Gerontology 97
  • Physiology 56
  • Biological Psychiatry 25
  • Cancer Research 82
  • Oncology 121
Replace Ljudmila Solovjeva with:
Ljudmila Solovjeva Russia
Michael Elser Switzerland
Francesca Pierella Italy
Tulip Nandu United States
Yan Mo China
Paola Giglio Italy
Elisa Elena Baracco France
Caibin Sheng China
Haowei Yi China
Lanya Li China
Lola E. Navas relative to Ljudmila Solovjeva Russia Ljudmila Solovjeva's profile →
Citations per field
00.5×5.7×
Ljudmila Solovjeva · 1×
Citations per year

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-authors

The 23 scholars most cited alongside Lola E. Navas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lola E. Navas Line = papers co-authored together Lola E. Navas links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
NAD+ metabolism, stemness, the immune response, and cancer
Hit paper breakdown →
2021320
2 201934
3 201927
4 201716
5 20237
6 20162
7 20181
8 20180

About Lola E. Navas

Lola E. Navas is a scholar working on Oncology, Molecular Biology, Geriatrics and Gerontology, Epidemiology and Physiology, having authored 8 papers that have together received 407 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Cancer Cells and Metastasis (2 papers), Peptidase Inhibition and Analysis (1 paper), Cancer-related gene regulation (1 paper), Signaling Pathways in Disease (1 paper), PARP inhibition in cancer therapy (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (97 citations), Physiology (56 citations), Biological Psychiatry (25 citations), Cancer Research (82 citations) and Oncology (121 citations). Lola E. Navas has collaborated with scholars based in Spain, Australia and Japan. Frequent co-authors include Amancio Carnero, Masayuki Umeda, Antonio Lucena-Cacace, Blanca Felipe‐Abrio, Eva M. Verdugo‐Sivianes, Sandra Muñoz-Galván, José Manuel García-Heredia, Juan Marín, Adoración G. Quiroga and Daniel Otero-Albiol. Their work appears in journals such as ESMO Open, Journal of Experimental & Clinical Cancer Research, Frontiers in Oncology, Oncotarget and Signal Transduction and Targeted Therapy.

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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