M.G.P. Vale

547 citations
29 papers · 507 · h-index 12

Impact in

Papers in

M.G.P. Vale

29 papers receiving 489 citations

Peers

M.G.P. Vale
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 140
  • Physiology 35
  • Molecular Biology 370
  • Cell Biology 87
  • Biochemistry 24
Replace Y C Huang with:
Y C Huang United States
Kit‐Yin Ling United States
Y Teshima Japan
K Gietzen Germany
A G Lee United Kingdom
William J. Driscoll United States
F Schroeder United States
Agostino Trevisani Italy
Helena M. Scofano Brazil
Anne‐Lise Matharu United Kingdom
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by M.G.P. Vale

Since Specialization
Citations

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

Fields of papers citing papers by M.G.P. Vale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside M.G.P. Vale, 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.G.P. Vale Line = papers co-authored together M.G.P. Vale links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ca2(+)-dependent binding of tamoxifen to calmodulin isolated from bovine brain.
199082
2 197763
3 197351
4 199830
5 198326
6 199925
7 197525
8 200023
9 199923
10 199018
11 199512
12 200012
13 199911
14 200011
15 198011
16 198111
17 198010
18 19979
19 20018
20 19858

About M.G.P. Vale

M.G.P. Vale is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Cell Biology and Spectroscopy, having authored 29 papers that have together received 507 indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Neuroscience and Neuropharmacology Research (13 papers), Lipid Membrane Structure and Behavior (12 papers), Cardiac electrophysiology and arrhythmias (4 papers), Mitochondrial Function and Pathology (3 papers), Molecular Sensors and Ion Detection (2 papers), Plant nutrient uptake and metabolism (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (140 citations), Physiology (35 citations), Molecular Biology (370 citations), Cell Biology (87 citations) and Biochemistry (24 citations). M.G.P. Vale has collaborated with scholars based in Portugal and Japan. Frequent co-authors include A.P. Carvalho, Paula P. Gonçalves, María Celeste Lopes, Arsélio P. Carvalho, António J. Moreno, Carlos Gravato, Romeu Vicente, João O. Malva, Miguel Cordeiro and Catarina R. Oliveira. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical Pharmacology, Archives of Biochemistry and Biophysics, Neuroscience Research and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

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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