Mario Rivera

3.7k citations
103 papers · 3.0k · h-index 34

Impact in

Papers in

    • Porphyrin Metabolism and Disorders 26
    • Heme Oxygenase-1 and Carbon Monoxide 21
    • Protein Structure and Dynamics 11
    • Mitochondrial Function and Pathology 11
    • Hemoglobin structure and function 32

Mario Rivera

99 papers receiving 2.9k citations

Peers

Mario Rivera
Comparison fields: 5 of 124
  • Cell Biology 796
  • Hematology 454
  • Molecular Biology 1.8k
  • Nutrition and Dietetics 385
  • Molecular Medicine 103
Replace Andrea Ilari with:
Andrea Ilari Italy
Lars Hederstedt Sweden
John R. Guest United Kingdom
Fevzi Daldal United States
Alberto Boffi Italy
P.C.E. Moody United Kingdom
A. Weichsel United States
J. R. Guest United Kingdom
Keiichi Fukuyama Japan
Raymond J. Bergeron United States
Mario Rivera relative to Andrea Ilari Italy Andrea Ilari's profile →
Citations per field
00.5×1.6×
Andrea Ilari · 1×
Citations per year

Countries citing papers authored by Mario Rivera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mario Rivera Line = papers co-authored together Mario Rivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 2010117
3 199292
4 200291
5 200487
6 201282
7 200279
8 198979
9 200968
10 200967
11 201066
12 199866
13 201064
14 200862
15 201062
16 199261
17 199661
18 200053
19 200353
20 200352

About Mario Rivera

Mario Rivera is a scholar working on Molecular Biology, Cell Biology, Hematology, Nutrition and Dietetics and Pediatrics, Perinatology and Child Health, having authored 103 papers that have together received 3.0k 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 (21 papers), Iron Metabolism and Disorders (19 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 (796 citations), Hematology (454 citations), Molecular Biology (1.8k citations), Nutrition and Dietetics (385 citations) and Molecular Medicine (103 citations). Mario Rivera has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Yuhong Zeng, F. Ann Walker, Scott Lovell, Huili Yao, Richard A. Bunce, 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 Inorganic Chemistry.

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.

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