Marta Gil

445 total citations
22 papers, 348 citations indexed

About

Marta Gil is a scholar working on Cellular and Molecular Neuroscience, Oncology and Cognitive Neuroscience. According to data from OpenAlex, Marta Gil has authored 22 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Oncology and 5 papers in Cognitive Neuroscience. Recurrent topics in Marta Gil's work include Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (5 papers) and Peptidase Inhibition and Analysis (5 papers). Marta Gil is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (5 papers) and Peptidase Inhibition and Analysis (5 papers). Marta Gil collaborates with scholars based in Spain, United Kingdom and Australia. Marta Gil's co-authors include S. Navarro, Pilar Soriano, Antonio Llombart‐Bosch, Marta Sänchez‐Carbayo, J Bellmunt, Laura Grau, Ferrán Algaba, Esteban Orenes‐Piñero, Milagros Gallo and Paloma Rohlfs Domínguez and has published in prestigious journals such as American Journal Of Pathology, British Journal of Cancer and Medical Physics.

In The Last Decade

Marta Gil

21 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Gil Spain 8 105 94 66 48 47 22 348
Christopher K. Edlund United States 14 89 0.8× 227 2.4× 66 1.0× 30 0.6× 30 0.6× 17 482
Aaron M. Marshall United States 10 59 0.6× 165 1.8× 30 0.5× 42 0.9× 68 1.4× 15 444
Andréanne Gagné Canada 13 167 1.6× 97 1.0× 64 1.0× 33 0.7× 17 0.4× 58 518
Sagar Ghosh United States 14 161 1.5× 225 2.4× 50 0.8× 21 0.4× 71 1.5× 28 572
Jianmin Zhang China 10 70 0.7× 356 3.8× 68 1.0× 30 0.6× 52 1.1× 22 596
Mladen Jokić Croatia 12 130 1.2× 210 2.2× 58 0.9× 44 0.9× 19 0.4× 19 499
Yichun Qiao China 9 120 1.1× 239 2.5× 87 1.3× 29 0.6× 13 0.3× 26 530
Zhiying Yu China 11 26 0.2× 150 1.6× 22 0.3× 14 0.3× 21 0.4× 33 347
Luisa F. Fanjul Spain 16 42 0.4× 320 3.4× 53 0.8× 62 1.3× 99 2.1× 39 772
Sinnie Sin Man Ng United States 10 41 0.4× 90 1.0× 17 0.3× 32 0.7× 21 0.4× 17 442

Countries citing papers authored by Marta Gil

Since Specialization
Citations

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

Fields of papers citing papers by Marta Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Gil

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

All Works

20 of 20 papers shown
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Martínez-Ramón, Juan Pedro & Marta Gil. (2023). Do artificial neural networks dream of understanding sentence comprehension? A preliminary study ( ¿Sueñan las redes neuronales artificiales con entender la comprensión de frases? Un estudio preliminar ). Studies in Psychology Estudios de Psicología. 44(2-3). 407–432. 1 indexed citations
3.
Gil, Marta, et al.. (2021). Motivational factors controlling flavor preference learning and performance: Effects of preexposure with nutritive and nonnutritive sweeteners. Behavioural Processes. 191. 104462–104462. 2 indexed citations
4.
García, Margarita, Rafael Moreno, Marta Gil, et al.. (2018). A phase I trial of oncolytic adenovirus ICOVIR-5 administered intravenously to melanoma patients. 2 indexed citations
5.
González, Ana, et al.. (2018). Effect of exposure to similar flavours in sensory specific satiety: Implications for eating behaviour. Appetite. 127. 289–295. 6 indexed citations
6.
Gil, Marta, et al.. (2017). Flattening of a generalization gradient following a retention interval: Evidence for differential forgetting of stimulus features. Behavioural Processes. 145. 10–14. 1 indexed citations
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Gil, Marta, et al.. (2014). The Hall-Rodriguez theory of latent inhibition: Further assessment of compound stimulus preexposure effects.. Journal of Experimental Psychology Animal Learning and Cognition. 40(4). 425–430.
9.
Gil, Marta, et al.. (2014). US-preexposure effects in flavor-preference and flavor-aversion learning with nonnutritive USs. Behavioural Processes. 106. 67–73. 4 indexed citations
10.
Salazar, Ramón, Antonio Calles, Marta Gil, et al.. (2014). Phase I study of carboplatin in combination with PM00104 (Zalypsis®) in patients with advanced solid tumors. Investigational New Drugs. 32(4). 644–652. 1 indexed citations
11.
Salazar, Ramón, Robert J. Jones, Ana Oaknin, et al.. (2012). A phase I and pharmacokinetic study of elisidepsin (PM02734) in patients with advanced solid tumors. Cancer Chemotherapy and Pharmacology. 70(5). 673–681. 17 indexed citations
12.
Gil, Marta, et al.. (2012). Choline dietary supplementation improves LiCl-induced context aversion retention in adult rats. Physiology & Behavior. 106(4). 451–456. 6 indexed citations
13.
Cebrián, Virginia, Esteban Orenes‐Piñero, Laura Grau, et al.. (2011). KISS1 Methylation and Expression as Tumor Stratification Biomarkers and Clinical Outcome Prognosticators for Bladder Cancer Patients. American Journal Of Pathology. 179(2). 540–546. 47 indexed citations
14.
Ruppen, Isabel, Laura Grau, Esteban Orenes‐Piñero, et al.. (2010). Differential Protein Expression Profiling by iTRAQ-Two-dimensional LC-MS/MS of Human Bladder Cancer EJ138 Cells Transfected with the Metastasis Suppressor KiSS-1 Gene. Molecular & Cellular Proteomics. 9(10). 2276–2291. 51 indexed citations
15.
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Ruppen, Isabel, Laura Grau, Marta Gil, Keith Ashman, & Marta Sänchez‐Carbayo. (2009). Differential protein expression profiling by ITRAQ-2DLC-MS/MS of human bladder cancer EJ138 cells transfected with the metastasis suppressor kiss-1 gene. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 61–61. 1 indexed citations
17.
Pernas, Sònia, Marta Gil, Fina Climent, et al.. (2009). Avoiding Axillary Treatment in Sentinel Lymph Node Micrometastases of Breast Cancer: A Prospective Analysis of Axillary or Distant Recurrence. Annals of Surgical Oncology. 17(3). 772–777. 46 indexed citations
18.
Chan, Arlene, Michael Untch, Marta Gil, et al.. (2006). Vinorelbine plus trastuzumab combination as first-line therapy for HER 2-positive metastatic breast cancer patients: an international phase II trial. British Journal of Cancer. 95(7). 788–793. 37 indexed citations
19.
González, Felisa, et al.. (2005). The role of habituation of the response to LiCl in the US-preexposure effect. Learning & Behavior. 33(3). 363–370. 16 indexed citations
20.
Soriano, Pilar, S. Navarro, Marta Gil, & Antonio Llombart‐Bosch. (2004). Small-cell carcinoma of the urinary bladder. A clinico-pathological study of ten cases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 445(3). 292–297. 46 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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