Eva Westerberg

38 papers receiving 1.9k citations

Peers

Eva Westerberg
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 866
  • Developmental Neuroscience 139
  • Neurology 241
  • Clinical Biochemistry 188
  • Biochemistry 178
Replace Jerzy W. Łazarewicz with:
Jerzy W. Łazarewicz Poland
S Peuchen United Kingdom
I Diamond United States
Susana Tchernin Wofchuk Brazil
M. Flint Beal United States
Heinrich Wiesinger Germany
Jaroslava Folbergrová Czechia
Lourdes Massieu Mexico
José M. Medina Spain
Robert J. Mark United States
Eva Westerberg relative to Jerzy W. Łazarewicz Poland Jerzy W. Łazarewicz's profile →
Citations per field
00.5×1.5×
Jerzy W. Łazarewicz · 1×
Citations per year

Countries citing papers authored by Eva Westerberg

Since Specialization
Citations

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

Fields of papers citing papers by Eva Westerberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982332
2 1980248
3 1985239
4 198296
5 198595
6 198194
7 199078
8 198977
9 198763
10 198661
11 198761
12 197760
13 198457
14 197849
15 199143
16
The NMDA-antagonist MK-801 reduces extracellular amino acid levels during hypoglycemia and prevents striatal damage
198840
17 198038
18 198331
19 200730
20 198529

About Eva Westerberg

Eva Westerberg is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Clinical Biochemistry, Nutrition and Dietetics and Physiology, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Metabolism and Genetic Disorders (6 papers), Fatty Acid Research and Health (5 papers), Ion channel regulation and function (5 papers), Molecular Sensors and Ion Detection (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (866 citations), Developmental Neuroscience (139 citations), Neurology (241 citations), Clinical Biochemistry (188 citations) and Biochemistry (178 citations). Eva Westerberg has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Bo K. Siesjö, Tadeusz Wieloch, Stig Rehncrona, S Rehncrona, Astrid G. Chapman, Björn Åkesson, David S. Smith, Tohru Koide, Ingvar Gustafson and Bernt A. Engelsen. Their work appears in journals such as Journal of Neurochemistry, Journal of Cerebral Blood Flow & Metabolism, European Journal of Pharmacology, Journal of Neuroscience and British Journal of Pharmacology.

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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