Manuel Rivera

628 citations
22 papers · 527 · h-index 13

Impact in

Papers in

Manuel Rivera

21 papers receiving 506 citations

Peers

Manuel Rivera
Comparison fields: 5 of 99
  • Biotechnology 96
  • Nutrition and Dietetics 108
  • Sensory Systems 24
  • Molecular Biology 304
  • Cellular and Molecular Neuroscience 72
Replace Xiaofan Li with:
Xiaofan Li United States
Wakoh Tsuchiya Japan
Yasser A. Mahmmoud Denmark
Minrui Fan China
Daniel A. Sáenz Argentina
Jens Christian Brasen Denmark
Peter Ronner United States
Manuel Rivera relative to Xiaofan Li United States Xiaofan Li's profile →
Citations per field
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Xiaofan Li · 1×
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 201185
2 200863
3 200560
4 200649
5 200345
6 200840
7 201139
8 201129
9 201319
10 202018
11 200717
12 201616
13 199614
14 20179
15 20128
16 20157
17 20183
18 20122
19 20132
20 20131

About Manuel Rivera

Manuel Rivera is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Nutrition and Dietetics and Cellular and Molecular Neuroscience, 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), Ion Transport and Channel Regulation (2 papers), Microbial Metabolites in Food Biotechnology (2 papers), Diet, Metabolism, and Disease (2 papers), Enzyme Production and Characterization (2 papers) and Sodium Intake and Health (1 paper). The work is most often cited by research in Biotechnology (96 citations), Nutrition and Dietetics (108 citations), Sensory Systems (24 citations), Molecular Biology (304 citations) and Cellular and Molecular Neuroscience (72 citations). Manuel Rivera has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Agustı́n López-Munguı́a, Juan Carlos Gómora, Gerardo Gamba, Erika Moreno, Norma Vázquez, Xavier Soberón, E. Rudiño-Piñera, Maria Elena Ortiz‐Soto, Clarita Olvera and Ingrid Medina‐Martínez. Their work appears in journals such as Protein Engineering Design and Selection, Cancer Medicine, Molecular Pharmacology, American Journal of Physiology-Renal Physiology and International Journal of Biological Macromolecules.

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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