Mario Rivera
- Cell Biology top 1%
- Hemoglobin structure and function 32
- Hematology top 2%
- Iron Metabolism and Disorders 18
- Molecular Biology top 5%
- Porphyrin Metabolism and Disorders 26
- Heme Oxygenase-1 and Carbon Monoxide 22
- Protein Structure and Dynamics 11
- Mitochondrial Function and Pathology 11
- Nutrition and Dietetics top 2%
- Trace Elements in Health 14
- Molecular Medicine top 5%
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- Neonatal Health and Biochemistry 13
- Co-authors
- F. Ann WalkerYuhong ZengScott LovellRichard A. BunceHuili YaoG.A. CaignanPierre Moënne‐LoccozK.P. Battaile
- Journals
- Biochemistry (31 papers)Journal of the American Chemical Society (12 papers)ACS Infectious Diseases (4 papers)
- Partner nations
- United StatesGermanyArgentina
In The Last Decade
Mario Rivera
97 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 125
- Cell Biology 770
- Hematology 433
- Molecular Biology 1.8k
- Nutrition and Dietetics 373
- Molecular Medicine 108
Countries citing papers authored by Mario Rivera
This map shows the geographic impact of Mario Rivera'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 Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Rivera more than expected).
Fields of papers citing papers by Mario Rivera
This network shows the impact of papers produced by Mario Rivera. 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 Rivera. The network helps show where Mario Rivera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Rivera, 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 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2017 | 4 | |
| 7 | 2015 | 20 | |
| 8 | 2014 | 7 | |
| 9 | 2013 | 38 | |
| 10 | 2012 | 41 | |
| 11 | 2010 | 116 | |
| 12 | 2005 | 6 | |
| 13 | 2004 | 39 | |
| 14 | 2000 | 18 | |
| 15 | 1999 | 23 | |
| 16 | 1994 | 17 | |
| 17 | 1994 | 48 | |
| 18 | 1993 | 3 | |
| 19 | 1993 | 37 | |
| 20 | 1992 | 3 |
About Mario Rivera
Mario Rivera is a scholar working on Cell Biology, Hematology and Molecular Biology, having authored 101 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hemoglobin structure and function (32 papers), Porphyrin Metabolism and Disorders (26 papers), Heme Oxygenase-1 and Carbon Monoxide (22 papers), Iron Metabolism and Disorders (18 papers), Trace Elements in Health (14 papers), Neonatal Health and Biochemistry (13 papers), Protein Structure and Dynamics (11 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Cell Biology (770 citations), Hematology (433 citations) and Molecular Biology (1.8k citations). Mario Rivera has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include F. Ann Walker, Yuhong Zeng, Scott Lovell, Richard A. Bunce, Huili Yao, G.A. Caignan, Pierre Moënne‐Loccoz, K.P. Battaile, Juan Carlos Rodrı́guez and David R. Benson. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, ACS Infectious Diseases, JBIC Journal of Biological Inorganic Chemistry and Journal of Inorganic Biochemistry.
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.