María Castañeda‐Bueno
- Nephrology top 2%
- Nutrition and Dietetics top 2%
- Magnesium in Health and Disease 11
- Sodium Intake and Health 3
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- Hormonal Regulation and Hypertension 8
- Molecular Biology top 10%
- Ion Transport and Channel Regulation 36
- Ion channel regulation and function 13
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- Electrolyte and hormonal disorders 10
- Potassium and Related Disorders 6
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- Pancreatic function and diabetes 5
- Co-authors
- Gerardo GambaNorma VázquezNorma A. BobadillaLuz Graciela Cervantes-PérezLorena Rojas‐VegaJunhui ZhangRichard P. LiftonShigeru Shibata
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (3 papers)Journal of Molecular Biology (1 paper)
- Partner nations
- MexicoUnited StatesUnited Kingdom
In The Last Decade
María Castañeda‐Bueno
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Nephrology 247
- Nutrition and Dietetics 452
- Endocrinology, Diabetes and Metabolism 379
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 436
Countries citing papers authored by María Castañeda‐Bueno
This map shows the geographic impact of María Castañeda‐Bueno'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 María Castañeda‐Bueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Castañeda‐Bueno more than expected).
Fields of papers citing papers by María Castañeda‐Bueno
This network shows the impact of papers produced by María Castañeda‐Bueno. 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 María Castañeda‐Bueno. The network helps show where María Castañeda‐Bueno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María Castañeda‐Bueno, 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 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 35 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 13 | |
| 15 | 2013 | 63 | |
| 16 | 2012 | 225 | |
| 17 | 2012 | 26 | |
| 18 | 2012 | 29 | |
| 19 | 2011 | 137 | |
| 20 | 2006 | 24 |
About María Castañeda‐Bueno
María Castañeda‐Bueno is a scholar working on Nutrition and Dietetics, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (36 papers), Ion channel regulation and function (13 papers), Magnesium in Health and Disease (11 papers), Electrolyte and hormonal disorders (10 papers), Hormonal Regulation and Hypertension (8 papers), Potassium and Related Disorders (6 papers), Pancreatic function and diabetes (5 papers) and Sodium Intake and Health (3 papers). The work is most often cited by research in Nephrology (247 citations), Nutrition and Dietetics (452 citations) and Endocrinology, Diabetes and Metabolism (379 citations). María Castañeda‐Bueno has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Gerardo Gamba, Norma Vázquez, Norma A. Bobadilla, Luz Graciela Cervantes-Pérez, Lorena Rojas‐Vega, Junhui Zhang, Richard P. Lifton, Shigeru Shibata, Juan Pablo Arroyo and Erika Moreno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.
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.