Ana M. Ramos‐Leví

1.9k total citations
59 papers, 1.3k citations indexed

About

Ana M. Ramos‐Leví is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Ana M. Ramos‐Leví has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 22 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Physiology. Recurrent topics in Ana M. Ramos‐Leví's work include Bariatric Surgery and Outcomes (17 papers), Diet and metabolism studies (9 papers) and Pituitary Gland Disorders and Treatments (9 papers). Ana M. Ramos‐Leví is often cited by papers focused on Bariatric Surgery and Outcomes (17 papers), Diet and metabolism studies (9 papers) and Pituitary Gland Disorders and Treatments (9 papers). Ana M. Ramos‐Leví collaborates with scholars based in Spain, Mexico and Italy. Ana M. Ramos‐Leví's co-authors include Mónica Marazuela, Miguel A. Rubio, Andrés Sánchez-Pernaute, Ana Serrano-Somavilla, Miguel Sampedro‐Núñez, Lucio Cabrerizo, Roberto González‐Amaro, Rebeca Martínez‐Hernández, Antonio Torres García and Magdalena Adrados and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ana M. Ramos‐Leví

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana M. Ramos‐Leví Spain 21 485 408 287 229 218 59 1.3k
Kalliopi Pazaitou‐Panayiotou Greece 23 412 0.8× 918 2.3× 319 1.1× 236 1.0× 135 0.6× 64 1.5k
H. D. Röher Germany 24 820 1.7× 360 0.9× 300 1.0× 225 1.0× 87 0.4× 85 1.5k
Tomaž Kocjan Slovenia 19 308 0.6× 379 0.9× 225 0.8× 281 1.2× 46 0.2× 51 1.3k
Peter Studer Switzerland 17 531 1.1× 194 0.5× 197 0.7× 216 0.9× 85 0.4× 44 957
Leonardo Vicentini Italy 23 437 0.9× 884 2.2× 301 1.0× 496 2.2× 77 0.4× 52 1.6k
Simone De Leo Italy 17 196 0.4× 911 2.2× 169 0.6× 270 1.2× 74 0.3× 39 1.3k
Inga‐Lena Nilsson Sweden 23 349 0.7× 217 0.5× 396 1.4× 303 1.3× 44 0.2× 76 1.6k
Jennifer A. Sipos United States 19 672 1.4× 1.3k 3.3× 262 0.9× 318 1.4× 59 0.3× 50 1.8k
Carlos Benbassat Israel 27 756 1.6× 1.5k 3.6× 343 1.2× 243 1.1× 79 0.4× 96 2.0k
Hiroki Ohzato Japan 15 520 1.1× 111 0.3× 331 1.2× 167 0.7× 137 0.6× 68 1.1k

Countries citing papers authored by Ana M. Ramos‐Leví

Since Specialization
Citations

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

Fields of papers citing papers by Ana M. Ramos‐Leví

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana M. Ramos‐Leví. 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 Ana M. Ramos‐Leví. The network helps show where Ana M. Ramos‐Leví may publish in the future.

Co-authorship network of co-authors of Ana M. Ramos‐Leví

This figure shows the co-authorship network connecting the top 25 collaborators of Ana M. Ramos‐Leví. A scholar is included among the top collaborators of Ana M. Ramos‐Leví 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 Ana M. Ramos‐Leví. Ana M. Ramos‐Leví 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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Arnoriaga‐Rodríguez, María, Ana Barabash, Johanna Valerio, et al.. (2024). A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women. Genes. 15(4). 482–482. 2 indexed citations
3.
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Ramos‐Leví, Ana M., Miguel A. Rubio, Pilar Matía‐Martín, et al.. (2023). Mixed Meal Tolerance Test Versus Continuous Glucose Monitoring for an Effective Diagnosis of Persistent Post-Bariatric Hypoglycemia. Journal of Clinical Medicine. 12(13). 4295–4295. 5 indexed citations
5.
Ramos‐Leví, Ana M., et al.. (2022). Seasonality of month of birth in patients with autoimmune endocrine diseases: A systematic review. Endocrinología Diabetes y Nutrición. 69(10). 779–790. 1 indexed citations
6.
Ramos‐Leví, Ana M., et al.. (2022). Gestational weight gain influences neonatal outcomes in women with obesity and gestational diabetes. Endocrinología Diabetes y Nutrición. 69(10). 852–858. 1 indexed citations
7.
Rogado, Jacobo, J.M. Sánchez-Torres, Nuria Romero-Laorden, et al.. (2019). Immune-related adverse events predict the therapeutic efficacy of anti–PD-1 antibodies in cancer patients. European Journal of Cancer. 109. 21–27. 192 indexed citations
8.
Martínez‐Hernández, Rebeca, Ana Serrano-Somavilla, Ana M. Ramos‐Leví, et al.. (2019). Integrated miRNA and mRNA expression profiling identifies novel targets and pathological mechanisms in autoimmune thyroid diseases. EBioMedicine. 50. 329–342. 34 indexed citations
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Ramos‐Leví, Ana M., Jacobo Rogado, J.M. Sánchez-Torres, Rámón Colomer, & Mónica Marazuela. (2018). Nivolumab-induced thyroid dysfunction in patients with lung cancer. Endocrinología Diabetes y Nutrición. 66(1). 26–34. 17 indexed citations
11.
Marazuela, Mónica, Ana M. Ramos‐Leví, Patricia Borges de Souza, & Maria Chiara Zatelli. (2018). Is receptor profiling useful for predicting pituitary therapy?. European Journal of Endocrinology. 179(5). D15–D25. 9 indexed citations
12.
Ramos‐Leví, Ana M. & Mónica Marazuela. (2017). Cardiovascular comorbidities in acromegaly: an update on their diagnosis and management. Endocrine. 55(2). 346–359. 48 indexed citations
13.
Ramos‐Leví, Ana M., Andrés Sánchez-Pernaute, Clara Marcuello, et al.. (2017). Glucose Variability After Bariatric Surgery: Is Prediction of Diabetes Remission Possible?. Obesity Surgery. 27(12). 3341–3343. 19 indexed citations
14.
Ramos‐Leví, Ana M., Ignacio Bernabéu, Miguel Sampedro‐Núñez, & Mónica Marazuela. (2016). Genetic Predictors of Response to Different Medical Therapies in Acromegaly. Progress in molecular biology and translational science. 138. 85–114. 9 indexed citations
15.
Ramos‐Leví, Ana M. & Mónica Marazuela. (2016). Pathogenesis of thyroid autoimmune disease: the role of cellular mechanisms. Endocrinología y Nutrición (English Edition). 63(8). 421–429. 3 indexed citations
16.
Ramos‐Leví, Ana M. & Mónica Marazuela. (2016). Pathogenesis of thyroid autoimmune disease: the role of cellular mechanisms. Endocrinología y Nutrición. 63(8). 421–429. 98 indexed citations
17.
Sánchez-Pernaute, Andrés, Miguel A. Rubio, Lucio Cabrerizo, et al.. (2015). Single-anastomosis duodenoileal bypass with sleeve gastrectomy (SADI-S) for obese diabetic patients. Surgery for Obesity and Related Diseases. 11(5). 1092–1098. 107 indexed citations
18.
Ramos‐Leví, Ana M., Natalia Pérez‐Ferre, Andrés Sánchez-Pernaute, Antonio Torres García, & Miguel A. Rubio. (2014). Severe vitamin A deficiency after malabsortive bariatric surgery.. SHILAP Revista de lepidopterología. 28(4). 1337–40. 14 indexed citations
19.
Ramos‐Leví, Ana M. & Miguel A. Rubio. (2013). Metabolic surgery: Quo Vadis?. Endocrinología y Nutrición. 61(1). 35–46. 13 indexed citations
20.
Ramos‐Leví, Ana M., José A. Díaz-Pérez, Carmen Povés, & Ramón Bover. (2011). Tumor carcinoide y foramen oval permeable. Endocrinología y Nutrición. 58(4). 206–209.

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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