T. Barkas

965 total citations
34 papers, 761 citations indexed

About

T. Barkas is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, T. Barkas has authored 34 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Neurology. Recurrent topics in T. Barkas's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Myasthenia Gravis and Thymoma (13 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). T. Barkas is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Myasthenia Gravis and Thymoma (13 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). T. Barkas collaborates with scholars based in Switzerland, United Kingdom and Greece. T. Barkas's co-authors include Alex Mauron, Marc Ballivet, Beat Roth, Socrates J. Tzartos, Christine Alliod, S J Tzartos, Constantinos Sakarellos, Michel Marraud, Hartmut Wekerle and G. Hughes and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

T. Barkas

34 papers receiving 721 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T. Barkas Switzerland 14 350 292 264 111 75 34 761
Ferenc Garzuly Hungary 13 194 0.6× 393 1.3× 18 0.1× 47 0.4× 194 2.6× 37 918
Masumi Endoh Japan 13 43 0.1× 202 0.7× 79 0.3× 320 2.9× 56 0.7× 26 633
Kyle Kuszpit United States 13 41 0.1× 144 0.5× 168 0.6× 23 0.2× 83 1.1× 20 540
Claudia Franke Germany 15 68 0.2× 307 1.1× 227 0.9× 37 0.3× 11 0.1× 25 708
Lisa R. Grillone United States 15 42 0.1× 399 1.4× 280 1.1× 32 0.3× 15 0.2× 24 1.0k
S. Momsen Reincke Germany 11 326 0.9× 373 1.3× 66 0.3× 81 0.7× 356 4.7× 16 934
K S Evans United States 8 20 0.1× 607 2.1× 94 0.4× 101 0.9× 12 0.2× 11 773
Hannes Wickert Germany 15 89 0.3× 339 1.2× 15 0.1× 141 1.3× 16 0.2× 23 856
Jennifer A. Coccia United States 6 20 0.1× 251 0.9× 185 0.7× 166 1.5× 112 1.5× 14 774
Paul R. Burnett United States 7 37 0.1× 348 1.2× 84 0.3× 174 1.6× 60 0.8× 7 622

Countries citing papers authored by T. Barkas

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Barkas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Barkas more than expected).

Fields of papers citing papers by T. Barkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Barkas

This figure shows the co-authorship network connecting the top 25 collaborators of T. Barkas. A scholar is included among the top collaborators of T. 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 T. Barkas. T. Barkas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tzartos, Socrates J., T. Barkas, Manh Thông Cung, et al.. (1998). Anatomy of the antigenic structure of a large memberane autoantigen, the muscle‐type nicotinic acetylcholine receptor. Immunological Reviews. 163(1). 89–120. 157 indexed citations
2.
Schluep, Myriam, Séverine Frutiger, G. Hughes, et al.. (1990). Immunological heterogeneity of autoreactive T lymphocytes against the nicotinic acetylcholine receptor in myasthenic patients. European Journal of Immunology. 20(12). 2577–2583. 30 indexed citations
3.
Zhang, Yi, et al.. (1990). Identification of T-cell epitopes of autoantigens using recombinant proteins; studies on experimental autoimmune myasthenia gravis.. PubMed. 71(4). 538–43. 8 indexed citations
4.
Melms, Arthur, Berthold Schalke, Hartmut Wekerle, et al.. (1989). Autoimmune T lymphocytes in myasthenia gravis. Determination of target epitopes using T lines and recombinant products of the mouse nicotinic acetylcholine receptor gene.. Journal of Clinical Investigation. 83(3). 785–790. 55 indexed citations
5.
Barkas, T., Alex Mauron, Beat Roth, & Marc Ballivet. (1988). Molecular dissection of the nicotinic acetylcholine receptor.. PubMed. 25. 12–9. 1 indexed citations
6.
7.
Barkas, T., Alex Mauron, Beat Roth, et al.. (1987). Localization of the Main Immunogenic Region and Toxin Binding Site of the Nicotinic Acetylcholine Receptora. Annals of the New York Academy of Sciences. 505(1). 743–746. 2 indexed citations
8.
Melms, Arthur, et al.. (1987). Intrathymic pathogenesis of myasthenia gravis: AChR specific T ylmphocytes and AChR expression in the myasthenic thymus. Journal of Neuroimmunology. 16(1). 122–123. 1 indexed citations
9.
Roth, Beat, et al.. (1987). A modified nicotinic acetylcholine receptor lacking the ‘ion channel amphipathic helices’. FEBS Letters. 221(1). 172–178. 9 indexed citations
10.
Barkas, T., Alex Mauron, Beat Roth, et al.. (1987). Mapping the Main Immunogenic Region and Toxin-Binding Site of the Nicotinic Acetylcholine Receptor. Science. 235(4784). 77–80. 137 indexed citations
11.
Barkas, T., J M Gabriel, M. Juillerat, Anna Kokla, & Socrates J. Tzartos. (1986). Localisation of the main immunogenic region of the nicotinic acetylcholine receptor. FEBS Letters. 196(2). 237–241. 18 indexed citations
12.
Juillerat, Marcel A., T. Barkas, & Socrates J. Tzartos. (1984). Antigenic sites of the nicotinic acetylcholine receptor cannot be predicted from the hydrophilicity profile. FEBS Letters. 168(1). 143–148. 23 indexed citations
13.
Barkas, T.. (1982). Antibodies begin to count in the neurology clinic. Immunology Today. 3(12). 322–322. 2 indexed citations
14.
Barkas, T., et al.. (1982). Antigenic differences between a proteolipid and a proteodetergent from Torpedo electroplax having similar cholinergic binding properties. Neurochemistry International. 4(5). 361–365. 1 indexed citations
15.
Barkas, T., et al.. (1982). Experimental myasthenia gravis is inhibited by receptor-antireceptor complexes.. PubMed. 7(3). 223–7. 1 indexed citations
16.
Scully, C, T. Barkas, Peter Boyle, & Ian A. McGregor. (1982). Circulating immune complexes detected by binding of radiolabelled protein A in patients with oral cancer and oral premalignant lesions.. PubMed. 8(2). 113–5. 6 indexed citations
17.
Barkas, T., et al.. (1979). Serum factors influencing antibody-directed cell-mediated cytotoxicity (ADCC) and their effects on the detection of immune complexes by inhibition of ADCC.. PubMed. 36(2). 299–306. 7 indexed citations
18.
Barkas, T., et al.. (1978). Rat spleen leucocyte (RSL) radioimmunoassay for the detection and quantification of soluble immune complexes.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 34(3). 429–35. 3 indexed citations
19.
Barkas, T.. (1978). Biological Activities of Complement. Biochemical Society Transactions. 6(4). 798–807. 19 indexed citations
20.
Barkas, T., et al.. (1976). Inhibition of antibody-dependent cell-mediated cytotoxicity (ADCC) as a means of detection of immune complexes in the sera of patients with thyroid disorders and bronchogenic carcinoma.. PubMed. 25(2). 270–9. 21 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ferenc Garzuly Breakdown of academic impact, for papers by Masumi Endoh Breakdown of academic impact, for papers by Kyle Kuszpit Breakdown of academic impact, for papers by Claudia Franke Breakdown of academic impact, for papers by Lisa R. Grillone Breakdown of academic impact, for papers by S. Momsen Reincke Breakdown of academic impact, for papers by K S Evans Breakdown of academic impact, for papers by Hannes Wickert Breakdown of academic impact, for papers by Jennifer A. Coccia Breakdown of academic impact, for papers by Paul R. Burnett
Rankless by CCL
2026