Maria Ribadeneira
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 6
- Biological Psychiatry top 10%
- Behavioral Neuroscience top 10%
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 7
- Hematology top 10%
- Acute Myeloid Leukemia Research 2
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- Drug Transport and Resistance Mechanisms 5
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- Erythrocyte Function and Pathophysiology 5
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- Neuroscience and Neuropharmacology Research 3
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- Pharmacological Effects and Toxicity Studies 3
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- Receptor Mechanisms and Signaling 3
- Co-authors
- Yu LiJameson ForsterAjay MadanPatrick KochMaciej CzerwińskiLiang‐Shang GanKathleen CarrollKarl Zech
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Maria Ribadeneira
26 papers receiving 810 citations
Peers
Comparison fields: 5 of 85
- Pharmacology 232
- Biological Psychiatry 40
- Behavioral Neuroscience 49
- Genetics 82
- Hematology 86
Countries citing papers authored by Maria Ribadeneira
This map shows the geographic impact of Maria Ribadeneira'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 Maria Ribadeneira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Ribadeneira more than expected).
Fields of papers citing papers by Maria Ribadeneira
This network shows the impact of papers produced by Maria Ribadeneira. 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 Maria Ribadeneira. The network helps show where Maria Ribadeneira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Ribadeneira, 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 | 2024 | 7 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 23 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 42 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 8 | |
| 9 | KCNQ channel openers reverse depressive symptoms via an active resilience mechanism | 2016 | 35 |
| 10 | 2016 | 118 | |
| 11 | 2015 | 2 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 7 | |
| 14 | 2012 | 4 | |
| 15 | 2011 | 10 | |
| 16 | 2007 | 13 | |
| 17 | 2004 | 27 | |
| 18 | 2003 | 26 | |
| 19 | 2003 | 276 | |
| 20 | 1996 | 29 |
About Maria Ribadeneira
Maria Ribadeneira is a scholar working on Genetics, Pharmacology and Hematology, having authored 27 papers that have together received 839 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Receptor Mechanisms and Signaling (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Pharmacology (232 citations), Biological Psychiatry (40 citations) and Behavioral Neuroscience (49 citations). Maria Ribadeneira has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Yu Li, Jameson Forster, Ajay Madan, Patrick Koch, Maciej Czerwiński, Liang‐Shang Gan, Kathleen Carroll, Karl Zech, Philmore Robertson and Lida Antonian. Their work appears in journals such as Nature, Nature Communications and Blood.
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.