Mónica Marazuela
- Endocrinology, Diabetes and Metabolism top 0.5%
- Immunology top 2%
- Molecular Biology top 10%
- Oncology top 5%
- Epidemiology top 5%
- Co-authors
- Francisco Sánchez‐MadridAna M. Ramos‐LevíManel Puig‐DomingoRoberto González‐AmaroAndrea GiustinaMiguel Sampedro‐NúñezMaría Ángeles García-LópezNicté Figueroa‐Vega
- Topics
- Pituitary Gland Disorders and Treatments (65 papers)Growth Hormone and Insulin-like Growth Factors (43 papers)Adrenal and Paraganglionic Tumors (36 papers)
In The Last Decade
Mónica Marazuela
184 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Endocrinology, Diabetes and Metabolism 1.8k
- Immunology 1.1k
- Molecular Biology 1.1k
- Oncology 933
- Epidemiology 922
Countries citing papers authored by Mónica Marazuela
This map shows the geographic impact of Mónica Marazuela'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 Mónica Marazuela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Marazuela more than expected).
Fields of papers citing papers by Mónica Marazuela
This network shows the impact of papers produced by Mónica Marazuela. 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 Mónica Marazuela. The network helps show where Mónica Marazuela may publish in the future.
Co-authorship network of co-authors of Mónica Marazuela
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Marazuela. A scholar is included among the top collaborators of Mónica Marazuela 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 Mónica Marazuela. Mónica Marazuela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 43 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | Prevalence of germline mutations of AIP gene in sporadic aggressive somatotropinomas | 1 |
| 16 | 37 | |
| 17 | 32 | |
| 18 | Effectiveness of retinoic acid treatment for redifferentiation of thyroid cancer in relation to recovery of radioiodine uptake | 2 |
| 19 | 0 | |
| 20 | 7 |
About Mónica Marazuela
Mónica Marazuela is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Allergy and Surgery, having authored 202 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (65 papers), Growth Hormone and Insulin-like Growth Factors (43 papers) and Adrenal and Paraganglionic Tumors (36 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Immunology and Allergy (327 citations) and Immunology (1.1k citations). Mónica Marazuela has collaborated with scholars based in Spain, Mexico and Italy. Frequent co-authors include Francisco Sánchez‐Madrid, Ana M. Ramos‐Leví, Manel Puig‐Domingo, Roberto González‐Amaro, Andrea Giustina, Miguel Sampedro‐Núñez, María Ángeles García-López, Nicté Figueroa‐Vega, Miguel A. Alonso and Ignacio Bernabéu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.