THOMAS BARKAS

1.1k citations
13 papers · 964 indexed · 1 hit paper · h-index 7
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)Ion channel regulation and function (4 papers)Nicotinic Acetylcholine Receptors Study (4 papers)

In The Last Decade

THOMAS BARKAS

13 papers receiving 927 citations

Hit Papers

A neuronal nicotinic acetylcholine receptor subunit (α7) ...19902026200220141990250500750

Peers

THOMAS BARKAS
Comparison fields: 5 of 60
  • Molecular Biology 846
  • Cellular and Molecular Neuroscience 347
  • Insect Science 155
  • Pharmacology 151
  • Neurology 88
Replace Paul M. Salvaterra with:
Paul M. Salvaterra United States
Marta do Nascimento Cordeiro Brazil
Mark E. Nelson United States
S. Fuchs Israel
G. Edward Cartier United States
Mu‐Chin Tzeng Taiwan
Layla Azam United States
D K Berg United States
J. I. Gepner United States
Marios Zouridakis Greece
THOMAS BARKAS relative to Paul M. Salvaterra United States Paul M. Salvaterra's profile →
Citations per field
00.5×4.4×
Paul M. Salvaterra · 1×
Citations per year

Countries citing papers authored by THOMAS BARKAS

Since Specialization
Citations

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

Fields of papers citing papers by THOMAS BARKAS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of THOMAS BARKAS

This figure shows the co-authorship network connecting the top 25 collaborators of THOMAS BARKAS. A scholar is included among the top collaborators of THOMAS BARKAS based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with THOMAS BARKAS. THOMAS BARKAS is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1
A neuronal nicotinic acetylcholine receptor subunit (α7) is developmentally regulated and forms a homo-oligomeric channel blocked by α-BTXbreakdown →
806
2 90
3 3
4 1
5 1
6 7
7 11
8 13
9 1
10 2
11 4
12 8
13 17

About THOMAS BARKAS

THOMAS BARKAS is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Organic Chemistry, having authored 13 papers that have together received 964 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Ion channel regulation and function (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (347 citations), Insect Science (155 citations) and Molecular Biology (846 citations). THOMAS BARKAS has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Jean‐Marc Matter, S. Couturier, Sonia Bertrand, Marc Ballivet, Maria‐Clemencia Hernandez, Neil S. Millar, Daniel Bertrand, Soledad Valera, Andreas Steck and Myriam Schluep. Their work appears in journals such as Neuron, Annals of Neurology and European Journal of Biochemistry.

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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