Leda Guzmán
Impact in
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- Microbial bioremediation and biosurfactants
Papers in
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- Epigenetics and DNA Methylation 3
- Microbial Metabolic Engineering and Bioproduction 3
- Plant tissue culture and regeneration 3
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- Plant Molecular Biology Research 2
- Co-authors
- Manuel Espinosa (2 shared papers)Bernardo González (2 shared papers)Raúl Vinet (7 shared papers)Francisco Aguayo (4 shared papers)Marlene Manzano (1 shared paper)Danilo Pérez‐Pantoja (1 shared paper)Dietmar H. Pieper (1 shared paper)Elisabeth Grohmann (1 shared paper)
- Journals
- Molecules (3 papers)Plants (2 papers)Diagnostic Pathology (1 paper)Nanomaterials (1 paper)Molecular and Cellular Biochemistry (1 paper)
- Partner nations
- ChileSpainUnited States
In The Last Decade
Leda Guzmán
30 papers receiving 467 citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 27
- Pollution 61
- Genetics 104
- Molecular Biology 237
- Toxicology 10
Countries citing papers authored by Leda Guzmán
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
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.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 91 | |
| 2 | 2000 | 65 | |
| 3 | 2012 | 54 | |
| 4 | 1999 | 33 | |
| 5 | 1997 | 32 | |
| 6 | 2015 | 30 | |
| 7 | 2020 | 16 | |
| 8 | 2007 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 1993 | 11 | |
| 14 | 2009 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2007 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2015 | 8 | |
| 19 | P-Coumaric acid reduces high glucose-mediated impairment of endothelium-dependent relaxation in rat aorta | 2014 | 6 |
| 20 | 2022 | 6 |
About Leda Guzmán
Leda Guzmán is a scholar working on Molecular Biology, Plant Science, Surgery, Organic Chemistry and Toxicology, having authored 32 papers that have together received 478 indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (3 papers), Epigenetics and DNA Methylation (3 papers), Synthesis and biological activity (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Plant tissue culture and regeneration (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Plant Molecular Biology Research (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Molecular Medicine (27 citations), Pollution (61 citations), Genetics (104 citations), Molecular Biology (237 citations) and Toxicology (10 citations). Leda Guzmán has collaborated with scholars based in Chile, Spain and United States. Frequent co-authors include Manuel Espinosa, Bernardo González, Raúl Vinet, Francisco Aguayo, Marlene Manzano, Danilo Pérez‐Pantoja, Dietmar H. Pieper, Elisabeth Grohmann, Alejandro H. Corvalán and Ana Salinas. Their work appears in journals such as Molecules, Plants, Diagnostic Pathology, Nanomaterials and Molecular and 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.