Héctor Quezada

1.5k citations
44 papers · 1.1k · h-index 17

Impact in

Papers in

    • Fungal and yeast genetics research 9
    • Microbial Metabolic Engineering and Bioproduction 7
    • Bacterial biofilms and quorum sensing 6
    • Mitochondrial Function and Pathology 5
    • Biochemical and Molecular Research 3
    • Cancer, Hypoxia, and Metabolism 4

Héctor Quezada

44 papers receiving 1.1k citations

Peers

Héctor Quezada
Comparison fields: 5 of 106
  • Molecular Medicine 85
  • Cancer Research 200
  • Molecular Biology 706
  • Aging 13
  • Microbiology 39
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Chunli Wu China
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Xingfeng Yin China
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Citations per field
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Citations per year

Countries citing papers authored by Héctor Quezada

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Quezada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017150
2 2010117
3 201689
4 201977
5 201376
6 201062
7 201153
8 201142
9 201742
10 200831
11 201726
12 200925
13 201221
14 201521
15 201921
16 201821
17 201916
18 202216
19 202116
20 202112

About Héctor Quezada

Héctor Quezada is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Molecular Medicine and Biochemistry, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Enzyme Structure and Function (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Bacterial biofilms and quorum sensing (6 papers), Antibiotic Resistance in Bacteria (5 papers), Mitochondrial Function and Pathology (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Molecular Medicine (85 citations), Cancer Research (200 citations), Molecular Biology (706 citations), Aging (13 citations) and Microbiology (39 citations). Héctor Quezada has collaborated with scholars based in Mexico, Brazil and United States. Frequent co-authors include Emma Saavedra, Rafael Moreno‐Sánchez, Alicia González, Juan Carlos Gallardo‐Pérez, Sara Rodríguez‐Enríquez, Rodolfo García‐Contreras, Mariano Martínez‐Vázquez, Norma Velázquez‐Guadarrama, Álvaro Marín‐Hernández and Thomas K. Wood. Their work appears in journals such as PLoS ONE, FEBS Journal, Genes, Frontiers in Microbiology and Journal of Cellular 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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