Carmen Vale

2.7k citations
82 papers · 2.2k · h-index 27

Impact in

Papers in

Carmen Vale

80 papers receiving 2.1k citations

Peers

Carmen Vale
Comparison fields: 5 of 96
  • Environmental Chemistry 1.1k
  • Sensory Systems 282
  • Toxicology 125
  • Endocrine and Autonomic Systems 176
  • Cellular and Molecular Neuroscience 480
Replace William R. Kem with:
William R. Kem United States
César Mattei France
Antonello Novelli Spain
Andrea J. Bourdelais United States
John Pablo United States
William D. Atchison United States
H.P.M. Vijverberg Netherlands
Na Chen China
J. T. Miyahara United States
Jan N. Johannessen United States
Carmen Vale relative to William R. Kem United States William R. Kem's profile →
Citations per field
00.5×3.9×
William R. Kem · 1×
Citations per year

Countries citing papers authored by Carmen Vale

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Vale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002148
2 2008134
3 2005119
4 2010108
5 200089
6 200386
7 200874
8 200369
9 200460
10 201259
11 200856
12 200655
13 201251
14 201148
15 201345
16 201942
17 201239
18 201039
19 201138
20 202236

About Carmen Vale

Carmen Vale is a scholar working on Environmental Chemistry, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Endocrine and Autonomic Systems, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Marine Toxins and Detection Methods (53 papers), Nicotinic Acetylcholine Receptors Study (31 papers), Neuroscience and Neuropharmacology Research (26 papers), Ion channel regulation and function (19 papers), Neuroscience of respiration and sleep (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Environmental Chemistry (1.1k citations), Sensory Systems (282 citations), Toxicology (125 citations), Endocrine and Autonomic Systems (176 citations) and Cellular and Molecular Neuroscience (480 citations). Carmen Vale has collaborated with scholars based in Spain, United States and Japan. Frequent co-authors include Luís M. Botana, Dan H. Sanes, Mercedes R. Vieytes, Amparo Alfonso, Cristina Suñol, Eva Alonso, Jordi Bujons, M. Carmen Louzao, Lydia Giménez‐Llort and Daniel A. Garcı́a. Their work appears in journals such as Chemical Research in Toxicology, Toxins, Analytical Chemistry, ACS Chemical Neuroscience and Archives of Toxicology.

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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