Laura Machín
- Molecular Biology
- Plant Science
- Biochemistry top 5%
- Food Science top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Lianet MonzoteOksana SytarMohamed A. SalemWilliam C. ChoMehdi Sharifi‐RadBahare SalehiCeyda Sibel KılıçRana M. Merghany
- Topics
- Research on Leishmaniasis Studies (7 papers)Computational Drug Discovery Methods (4 papers)Peptidase Inhibition and Analysis (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaMoleculesBiochemical Pharmacology
In The Last Decade
Laura Machín
12 papers receiving 545 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 161
- Plant Science 111
- Biochemistry 104
- Food Science 88
- Public Health, Environmental and Occupational Health 63
Countries citing papers authored by Laura Machín
This map shows the geographic impact of Laura Machín'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 Laura Machín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Machín more than expected).
Fields of papers citing papers by Laura Machín
This network shows the impact of papers produced by Laura Machín. 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 Laura Machín. The network helps show where Laura Machín may publish in the future.
Co-authorship network of co-authors of Laura Machín
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Machín. A scholar is included among the top collaborators of Laura Machín based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Machín. Laura Machín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | Therapeutic Potential of Quercetin: New Insights and Perspectives for Human Healthbreakdown → | 471 |
| 10 | 21 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 17 | |
| 15 | Application of the response surface methodology on the study of the in vitro ruminal fermentation. | 0 |
About Laura Machín
Laura Machín is a scholar working on Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Analytical Chemistry, having authored 15 papers that have together received 560 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (7 papers), Computational Drug Discovery Methods (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Biochemistry (104 citations), Drug Discovery (2 citations) and Complementary and alternative medicine (46 citations). Laura Machín has collaborated with scholars based in Cuba, Austria and China. Frequent co-authors include Lianet Monzote, Oksana Sytar, Mohamed A. Salem, William C. Cho, Mehdi Sharifi‐Rad, Bahare Salehi, Ceyda Sibel Kılıç, Rana M. Merghany, Natália Martins and Shahira M. Ezzat. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecules and Biochemical Pharmacology.
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.