M.G.P. Vale

546 citations
29 papers · 483 · h-index 12

Impact in

Papers in

M.G.P. Vale

29 papers receiving 470 citations

Peers

M.G.P. Vale
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 139
  • Physiology 34
  • Cell Biology 85
  • Molecular Biology 355
  • Biochemistry 23
Replace K Gietzen with:
K Gietzen Germany
Kit‐Yin Ling United States
Y Teshima Japan
H Fishkes United States
Prem S. Chaudhry United States
Y.-T. Hsu United States
A G Lee United Kingdom
B K Chamberlain United States
F Schroeder United States
Christopher M. Amy United States
M.G.P. Vale relative to K Gietzen Germany K Gietzen's profile →
Citations per field
00.5×1.5×2.3×
K Gietzen · 1×
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.
199080
2 197756
3 197347
4 199830
5 198326
6 200023
7 199923
8 199923
9 197523
10 199017
11 200012
12 199512
13 199911
14 200011
15 198011
16 198111
17 19979
18 19809
19 20018
20 19888

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 483 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), Neuroscience and Neural Engineering (2 papers), Plant nutrient uptake and metabolism (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (139 citations), Physiology (34 citations), Cell Biology (85 citations), Molecular Biology (355 citations) and Biochemistry (23 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, Romeu Vicente, António J. Moreno, Carlos Gravato, João O. Malva, Miguel Cordeiro and Catarina R. Oliveira. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Neuroscience Research, Archives of Biochemistry and Biophysics, Biochemical Pharmacology and PLANT PHYSIOLOGY.

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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