Mario Rivera

3.6k citations
101 papers · 2.8k · h-index 34

Impact in

Papers in

    • Porphyrin Metabolism and Disorders 26
    • Heme Oxygenase-1 and Carbon Monoxide 22
    • Protein Structure and Dynamics 11
    • Mitochondrial Function and Pathology 11
    • Hemoglobin structure and function 32

Mario Rivera

97 papers receiving 2.8k citations

Peers

Mario Rivera
Comparison fields: 5 of 125
  • Cell Biology 770
  • Hematology 433
  • Molecular Biology 1.8k
  • Nutrition and Dietetics 373
  • Molecular Medicine 108
Replace Andrea Ilari with:
Andrea Ilari Italy
Karen G. Welinder Denmark
Lars Hederstedt Sweden
Derek Parsonage United States
Alberto Boffi Italy
P.C.E. Moody United Kingdom
J. R. Guest United Kingdom
Fevzi Daldal United States
Caryn E. Outten United States
Bryan F. Anderson New Zealand
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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010116
2 2017114
3 200484
4 200284
5 199279
6 201277
7 200276
8 198975
9 200965
10 199864
11 200963
12 200862
13 201062
14 201060
15 199660
16 199259
17 201059
18 200351
19 200351
20 200149

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 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), Molecular Biology (1.8k citations), Nutrition and Dietetics (373 citations) and Molecular Medicine (108 citations). Mario Rivera has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include Yuhong Zeng, F. Ann Walker, 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.

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