Mar Lorente

28 papers receiving 2.8k citations

Mar Lorente's Hit Papers

Cannabinoid action induces autophagy-mediated cell death through stimulation of ER stress in human glioma cells 2009 · 578 citations
5780+5+11Years since publication100200300400500

Peers

Mar Lorente
Comparison fields: 5 of 99
  • Pharmacology 1.6k
  • Cellular and Molecular Neuroscience 530
  • Cell Biology 399
  • Geriatrics and Gerontology 72
  • Epidemiology 575
Replace María Salazar‐Roa with:
María Salazar‐Roa Spain
Sonia Hernández‐Tiedra Spain
Luis González‐Feria Spain
Teresa Gómez del Pulgar Spain
Wenming Li China
Juan Pablo Muñoz Spain
Sean D. McAllister United States
Jianxiong Jiang United States
Esperanza Arias United States
Jordi Magrané United States
Mar Lorente relative to María Salazar‐Roa Spain María Salazar‐Roa's profile →
Citations per field
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María Salazar‐Roa · 1×
Citations per year

Countries citing papers authored by Mar Lorente

Since Specialization
Citations

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

Fields of papers citing papers by Mar Lorente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mar Lorente, 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 Mar Lorente Line = papers co-authored together Mar Lorente links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cannabinoid action induces autophagy-mediated cell death through stimulation of ER stress in human glioma cells
Hit paper breakdown →
2009578
2 2006296
3 2006294
4 2011238
5 2010160
6 2008152
7 2015134
8 2015134
9 201888
10 201387
11 201177
12 200777
13 200963
14 201559
15 201854
16 201341
17 200740
18 200938
19 201938
20 201330

About Mar Lorente

Mar Lorente is a scholar working on Pharmacology, Epidemiology, Cell Biology, Surgery and Molecular Biology, having authored 30 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (17 papers), Autophagy in Disease and Therapy (13 papers), Pancreatic function and diabetes (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Ubiquitin and proteasome pathways (2 papers), Immune cells in cancer (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Pharmacology (1.6k citations), Cellular and Molecular Neuroscience (530 citations), Cell Biology (399 citations), Geriatrics and Gerontology (72 citations) and Epidemiology (575 citations). Mar Lorente has collaborated with scholars based in Spain, United Kingdom and Russia. Frequent co-authors include Guillermo Velasco, Manuel Guzmán, Arkaitz Carracedo, Sonia Hernández‐Tiedra, María Salazar‐Roa, Juan Iovanna, Sofía Torres, Stéphane Garcia, Cristina Blázquez and Ainara Egia. Their work appears in journals such as Cancer Research, Biochemical Pharmacology, Autophagy, Neuropharmacology and Clinical Cancer Research.

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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