Manuel Rivera

628 citations
21 papers · 483 · h-index 13

Impact in

Papers in

Manuel Rivera

20 papers receiving 474 citations

Peers

Manuel Rivera
Comparison fields: 5 of 98
  • Biotechnology 90
  • Nutrition and Dietetics 102
  • Sensory Systems 20
  • Molecular Biology 271
  • Cellular and Molecular Neuroscience 61
Replace Shenghui Xue with:
Shenghui Xue United States
Xiaofan Li United States
Thomas P. Kemmer Germany
Nari Kim South Korea
Wakoh Tsuchiya Japan
Daniel A. Sáenz Argentina
Minrui Fan China
Francisco J. Cañizares Spain
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Citations per field
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Shenghui Xue · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201182
2 200860
3 200552
4 200340
5 200638
6 200837
7 201134
8 201128
9 201319
10 200717
11 202017
12 201615
13 199614
14 20128
15 20178
16 20157
17 20183
18 20122
19 20131
20 20121

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 21 papers that have together received 483 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 (90 citations), Nutrition and Dietetics (102 citations), Sensory Systems (20 citations), Molecular Biology (271 citations) and Cellular and Molecular Neuroscience (61 citations). Manuel Rivera has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Agustı́n López-Munguı́a, Juan Carlos Gómora, E. Rudiño-Piñera, Maria Elena Ortiz‐Soto, Gerardo Gamba, Norma Vázquez, Erika Moreno, Xavier Soberón, Clarita Olvera and Brenda Marquina‐Castillo. Their work appears in journals such as Protein Engineering Design and Selection, Journal of Radioanalytical and Nuclear Chemistry, Molecular Pharmacology, PLoS ONE and Biophysical Journal.

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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