M. Alfonso

947 citations
49 papers · 813 · h-index 18

Impact in

Papers in

M. Alfonso

49 papers receiving 784 citations

Peers

M. Alfonso
Comparison fields: 5 of 83
  • Health, Toxicology and Mutagenesis 225
  • Insect Science 182
  • Cellular and Molecular Neuroscience 239
  • Environmental Chemistry 84
  • Developmental Neuroscience 28
Replace R. Durán with:
R. Durán Spain
L.R.F. Faro Spain
Regina G.D.M. van Kleef Netherlands
Yukti Sharma India
Hideharu Tatebayashi Japan
Paul M. Lundy Canada
Katherine L. McDaniel United States
Toshio Narahashi United States
Henk P.M. Vijverberg Netherlands
W.‐D. Dettbarn United States
M. Alfonso relative to R. Durán Spain R. Durán's profile →
Citations per field
00.5×1.5×
R. Durán · 1×
Citations per year

Countries citing papers authored by M. Alfonso

Since Specialization
Citations

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

Fields of papers citing papers by M. Alfonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M. Alfonso, 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 M. Alfonso Line = papers co-authored together M. Alfonso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200998
2 200251
3 199733
4 199833
5 200531
6 200031
7 200025
8 201025
9 201924
10 201624
11 201223
12 200922
13 200622
14 200121
15 200221
16 201919
17 200718
18 199817
19 200217
20
Ethanol-induced alterations in gonadotrophins secretion during the estrous cycle of rats.
199316

About M. Alfonso

M. Alfonso is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Health, Toxicology and Mutagenesis, Insect Science and Environmental Chemistry, having authored 49 papers that have together received 813 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Nicotinic Acetylcholine Receptors Study (16 papers), Insect and Pesticide Research (9 papers), Ion channel regulation and function (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Mercury impact and mitigation studies (7 papers), Marine Toxins and Detection Methods (7 papers) and Pesticide Exposure and Toxicity (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (225 citations), Insect Science (182 citations), Cellular and Molecular Neuroscience (239 citations), Environmental Chemistry (84 citations) and Developmental Neuroscience (28 citations). M. Alfonso has collaborated with scholars based in Spain, Brazil and Portugal. Frequent co-authors include R. Durán, L.R.F. Faro, José Luíz Martins do Nascimento, Francisco Campos, Bárbara Arias, María C. Arufe, Vânia Maria Moraes Ferreira, Iris Machado de Oliveira, D.L.W. Picanço-Diniz and Cristovam Wanderley Picanço Diniz. Their work appears in journals such as Neurochemical Research, Ecotoxicology and Environmental Safety, Toxicology, Endocrine Research and Neuropharmacology.

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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