Manuel Rivera

636 citations
22 papers · 527 · h-index 13

Impact in

Papers in

Manuel Rivera

21 papers receiving 503 citations

Peers

Manuel Rivera
Comparison fields: 5 of 100
  • Biotechnology 97
  • Nutrition and Dietetics 110
  • Sensory Systems 24
  • Molecular Biology 301
  • Cellular and Molecular Neuroscience 70
Replace Xiaofan Li with:
Xiaofan Li United States
Wakoh Tsuchiya Japan
Nari Kim South Korea
Francisco J. Cañizares Spain
Julia Hartmann Germany
Ashley Allshire Ireland
Minrui Fan China
Daniel A. Sáenz Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Manuel Rivera

Since Specialization
Citations

This map shows the geographic impact of Manuel 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 Manuel Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Rivera more than expected).

Fields of papers citing papers by Manuel Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel 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 Manuel Rivera. The network helps show where Manuel Rivera may publish in the future.

Co-authors

The 25 scholars most cited alongside Manuel 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 Manuel Rivera Line = papers co-authored together Manuel Rivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201184
2 200864
3 200560
4 200647
5 200345
6 200840
7 201138
8 201129
9 201319
10 202019
11 200717
12 201616
13 199614
14 201710
15 20128
16 20157
17 20184
18 20122
19 20132
20 20131

About Manuel Rivera

Manuel Rivera is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Nutrition and Dietetics, Biotechnology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 527 indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Cardiac electrophysiology and arrhythmias (5 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Enzyme Production and Characterization (2 papers), Diet, Metabolism, and Disease (2 papers), Ion Transport and Channel Regulation (2 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Protein Hydrolysis and Bioactive Peptides (1 paper). The work is most often cited by research in Biotechnology (97 citations), Nutrition and Dietetics (110 citations), Sensory Systems (24 citations), Molecular Biology (301 citations) and Cellular and Molecular Neuroscience (70 citations). Manuel Rivera has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Agustı́n López-Munguı́a, Juan Carlos Gómora, Norma Hilda Vázquez, Gerardo Gamba, Maria Elena Ortiz‐Soto, Erika Moreno, Enrique Rudiño-Piñera, Xavier Soberón, Clarita Olvera and Brenda Noemí Marquina-Castillo. Their work appears in journals such as Protein Engineering Design and Selection, International Journal of Biological Macromolecules, Molecular Pharmacology, Materials Chemistry and Physics and American Journal of Physiology-Renal Physiology.

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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