Leda Guzmán

547 citations
31 papers · 443 indexed · h-index 11

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • Plant tissue culture and regeneration 3
    • Microbial Metabolic Engineering and Bioproduction 3
    • Enzyme Catalysis and Immobilization 2
    • Plant Molecular Biology Research 2

Leda Guzmán

30 papers receiving 436 citations

Peers

Leda Guzmán
Comparison fields: 5 of 88
  • Molecular Medicine 26
  • Pollution 57
  • Genetics 103
  • Molecular Biology 235
  • Biochemistry 22
Replace Hyo Je Cho with:
Hyo Je Cho South Korea
Duohong Sheng China
Florent Busi France
Michael Wong United States
Javier Belmont-Díaz Mexico
Manish Dwivedi India
Peggy J. Bledsoe United States
Elizabeth E. Murray United States
Jialiang Li China
Montserrat Martı́nez-Gomariz Spain
Leda Guzmán relative to Hyo Je Cho South Korea Hyo Je Cho's profile →
Citations per field
00.5×1.5×2.0×
Hyo Je Cho · 1×
Citations per year

Countries citing papers authored by Leda Guzmán

Since Specialization
Citations

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

Fields of papers citing papers by Leda Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199784
2 200061
3 201249
4 199931
5 201530
6 199729
7 200715
8 201814
9 202014
10 201014
11 201911
12 202010
13 20079
14 19939
15 20219
16 20099
17 20198
18 20158
19 20226
20
P-Coumaric acid reduces high glucose-mediated impairment of endothelium-dependent relaxation in rat aorta
20145

About Leda Guzmán

Leda Guzmán is a scholar working on Molecular Biology, Plant Science, Surgery, Organic Chemistry and Toxicology, having authored 31 papers that have together received 443 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Plant tissue culture and regeneration (3 papers), Synthesis and biological activity (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Plant Molecular Biology Research (2 papers) and Enzyme Catalysis and Immobilization (2 papers). The work is most often cited by research in Molecular Medicine (26 citations), Pollution (57 citations), Genetics (103 citations), Molecular Biology (235 citations) and Biochemistry (22 citations). Leda Guzmán has collaborated with scholars based in Chile, Spain and United States. Frequent co-authors include Manuel Espinosa, Bernardo González, Francisco Aguayo, Raúl Vinet, Marlene Manzano, Danilo Pérez‐Pantoja, Dietmar H. Pieper, Alejandro H. Corvalán, Elisabeth Grohmann and Ana Salinas. Their work appears in journals such as Molecules, Plants, Biological Research, Scientific Reports and Planta Medica.

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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