Alberto Arregui

2.1k citations
32 papers · 1.6k · h-index 23

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 7
    • Heme Oxygenase-1 and Carbon Monoxide 4
    • Neuropeptides and Animal Physiology 7
    • Neurotransmitter Receptor Influence on Behavior 4
    • Neuroscience and Neuropharmacology Research 3

Alberto Arregui

32 papers receiving 1.6k citations

Peers

Alberto Arregui
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 270
  • Cellular and Molecular Neuroscience 588
  • Genetics 378
  • Physiology 314
  • Neurology 99
Replace Makoto Ohneda with:
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Citations per field
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Citations per year

Countries citing papers authored by Alberto Arregui

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Arregui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980238
2 1981170
3 1999149
4 1982140
5 1992125
6 197862
7 199159
8 197755
9 197854
10 199553
11 199452
12 197940
13 199339
14 198038
15 199437
16 198835
17 198134
18 197933
19 197233
20 200130

About Alberto Arregui

Alberto Arregui is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Genetics and Physiology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include High Altitude and Hypoxia (9 papers), Neuroscience of respiration and sleep (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Neuropeptides and Animal Physiology (7 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Biochemical effects in animals (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (270 citations), Cellular and Molecular Neuroscience (588 citations), Genetics (378 citations), Physiology (314 citations) and Neurology (99 citations). Alberto Arregui has collaborated with scholars based in Peru, United Kingdom and United States. Frequent co-authors include Fabiola Lèon‐Velarde, Martin N. Rossor, Leslie L. Iversen, Jaime Boero, B.E. Tomlinson, Elaine K. Perry, B.E.B. Sandberg, P.C. Emson, Vicky Clement‐Jones and Carlos Monge-C. Their work appears in journals such as European Journal of Pharmacology, Annals of Neurology, Journal of Neurochemistry, Biochemical Pharmacology and Neurology.

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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