María Gálvez-Llompart
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Organic Chemistry top 10%
- Pharmacology
- Plant Science
- Co-authors
- Ramón García‐DomenechJorge GálvezMaría C. RecioGermán SastreFernando ReyRosa M. GinerÁngel Cantı́nLemont B. Kier
- Topics
- Computational Drug Discovery Methods (33 papers)Synthesis and biological activity (19 papers)Analytical Chemistry and Chromatography (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Agricultural and Food Chemistry
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
María Gálvez-Llompart
46 papers receiving 513 citations
Peers
Comparison fields: 5 of 90
- Computational Theory and Mathematics 283
- Molecular Biology 224
- Organic Chemistry 197
- Pharmacology 52
- Plant Science 41
Countries citing papers authored by María Gálvez-Llompart
This map shows the geographic impact of María Gálvez-Llompart'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 María Gálvez-Llompart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Gálvez-Llompart more than expected).
Fields of papers citing papers by María Gálvez-Llompart
This network shows the impact of papers produced by María Gálvez-Llompart. 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 María Gálvez-Llompart. The network helps show where María Gálvez-Llompart may publish in the future.
Co-authorship network of co-authors of María Gálvez-Llompart
This figure shows the co-authorship network connecting the top 25 collaborators of María Gálvez-Llompart. A scholar is included among the top collaborators of María Gálvez-Llompart 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 María Gálvez-Llompart. María Gálvez-Llompart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 36 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 25 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 16 | |
| 17 | 15 | |
| 18 | 38 | |
| 19 | 34 | |
| 20 | Levels of susceptibility of Tetranychus urticae (Acarida, Tetranychidae) to eight acaricides used in carnation (Dianthus caryophyllus L.) cultivation in the Villa Guerrero region, Mexico. | 1 |
About María Gálvez-Llompart
María Gálvez-Llompart is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 47 papers that have together received 517 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Synthesis and biological activity (19 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Computational Theory and Mathematics (283 citations), Organic Chemistry (197 citations) and Pharmacology (34 citations). María Gálvez-Llompart has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Ramón García‐Domenech, Jorge Gálvez, María C. Recio, Germán Sastre, Fernando Rey, Rosa M. Giner, Ángel Cantı́n, Lemont B. Kier, J. Benlloch and Sanzio Candeletti. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.
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.