Beatriz Lopes
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Pituitary Gland Disorders and Treatments 4
- Growth Hormone and Insulin-like Growth Factors 2
- Co-authors
- Yanzhi Yang (1 shared paper)Charles G. diPierro (1 shared paper)Benjamin Purow (1 shared paper)Thomas D. Schmittgen (1 shared paper)Benjamin Kefas (1 shared paper)Fadila Guessous (1 shared paper)Jinmai Jiang (1 shared paper)Roger Abounader (1 shared paper)
- Journals
- Journal of Neuro-Oncology (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of neurosurgery (1 paper)Acta Neuropathologica (1 paper)Neuropathology and Applied Neurobiology (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Beatriz Lopes
10 papers receiving 787 citations
Beatriz Lopes's Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 405
- Genetics 94
- Molecular Biology 472
- Endocrine and Autonomic Systems 30
- Endocrinology, Diabetes and Metabolism 68
Countries citing papers authored by Beatriz Lopes
This map shows the geographic impact of Beatriz Lopes'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 Beatriz Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Lopes more than expected).
Fields of papers citing papers by Beatriz Lopes
This network shows the impact of papers produced by Beatriz Lopes. 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 Beatriz Lopes. The network helps show where Beatriz Lopes may publish in the future.
Co-authors
The 25 scholars most cited alongside Beatriz Lopes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | MicroRNA-34a Inhibits Glioblastoma Growth by Targeting Multiple Oncogenes Hit paper breakdown → | 2009 | 540 |
| 2 | 2002 | 96 | |
| 3 | 2014 | 43 | |
| 4 | 1998 | 37 | |
| 5 | 2009 | 37 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 9 | |
| 9 | 2008 | 9 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 0 |
About Beatriz Lopes
Beatriz Lopes is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Neurology and Genetics, having authored 11 papers that have together received 802 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Neuroblastoma Research and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), Hypothalamic control of reproductive hormones (1 paper), Cerebrospinal fluid and hydrocephalus (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Epilepsy research and treatment (1 paper). The work is most often cited by research in Cancer Research (405 citations), Genetics (94 citations), Molecular Biology (472 citations), Endocrine and Autonomic Systems (30 citations) and Endocrinology, Diabetes and Metabolism (68 citations). Beatriz Lopes has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Yanzhi Yang, Charles G. diPierro, Benjamin Purow, Thomas D. Schmittgen, Benjamin Kefas, Fadila Guessous, Jinmai Jiang, Roger Abounader, Elizabeth Johnson and Ying Zhang. Their work appears in journals such as Journal of Neuro-Oncology, The Journal of Clinical Endocrinology & Metabolism, Journal of neurosurgery, Acta Neuropathologica and Neuropathology and Applied Neurobiology.
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.