Mario Maldonado
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- Diabetes Treatment and Management 15
- Pituitary Gland Disorders and Treatments 2
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes 4
- Genetics top 10%
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- Pancreatic function and diabetes 7
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- Metabolism, Diabetes, and Cancer 9
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- Pancreatic and Hepatic Oncology Research 2
- Peptidase Inhibition and Analysis 2
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- Gastric Cancer Management and Outcomes 2
- Co-authors
- Nancy J. BrownDavid B. CarrRobert FrederichDavid Z.I. CherneyFrancesco CosentinoAnnpey PongSamuel Dagogo‐JackChristopher P. Cannon
- Journals
- Kidney International Reports (3 papers)Diabetes Obesity and Metabolism (2 papers)European Heart Journal (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mario Maldonado
17 papers receiving 430 citations
Peers
Comparison fields: 5 of 46
- Endocrinology, Diabetes and Metabolism 320
- Nephrology 73
- Genetics 84
- Pharmacology 52
- Surgery 112
Countries citing papers authored by Mario Maldonado
This map shows the geographic impact of Mario Maldonado'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 Mario Maldonado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Maldonado more than expected).
Fields of papers citing papers by Mario Maldonado
This network shows the impact of papers produced by Mario Maldonado. 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 Mario Maldonado. The network helps show where Mario Maldonado may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Maldonado, 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 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 109 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 34 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 33 | |
| 15 | 2019 | 1 | |
| 16 | Patients with Cushing's disease achieve normal urinary cortisol with LCI699, a potent 11[beta]-hydroxylase inhibitor: preliminary results from a multicenter, proof-of-concept study | 2012 | 15 |
| 17 | 2009 | 166 |
About Mario Maldonado
Mario Maldonado is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Genetics, Surgery and Oncology, having authored 17 papers that have together received 438 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (15 papers), Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (7 papers), Chronic Kidney Disease and Diabetes (4 papers), Pancreatic and Hepatic Oncology Research (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (320 citations), Nephrology (73 citations), Genetics (84 citations), Pharmacology (52 citations) and Surgery (112 citations). Mario Maldonado has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nancy J. Brown, David B. Carr, Robert Frederich, David Z.I. Cherney, Francesco Cosentino, Annpey Pong, Samuel Dagogo‐Jack, Christopher P. Cannon, Richard E. Pratley and Darren K. McGuire. Their work appears in journals such as Kidney International Reports, Diabetes Obesity and Metabolism, European Heart Journal, Diabetologia and American Journal of Nephrology.
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.