Angelika Varga

48 total papers · 731 total citations
35 papers, 583 citations indexed

About

Angelika Varga is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Angelika Varga has authored 35 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 13 papers in Molecular Biology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Angelika Varga's work include Pain Mechanisms and Treatments (13 papers), Ion Channels and Receptors (11 papers) and Neuropeptides and Animal Physiology (7 papers). Angelika Varga is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Ion Channels and Receptors (11 papers) and Neuropeptides and Animal Physiology (7 papers). Angelika Varga collaborates with scholars based in Hungary, United Kingdom and Germany. Angelika Varga's co-authors include Janós Szolcsányi, József Németh, Kata Bölcskei, Gábor Pethö, Zsuzsanna Helyes, Róbert Almási, Krisztián Elekes, Árpád Szabó, Erika Pintér and Éva Szőke and has published in prestigious journals such as The Journal of Comparative Neurology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Angelika Varga

33 papers receiving 577 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Angelika Varga 240 236 206 147 116 35 583
Krisztina Pohóczky 302 1.3× 193 0.8× 140 0.7× 142 1.0× 50 0.4× 28 669
Nisha Vastani 362 1.5× 258 1.1× 195 0.9× 128 0.9× 41 0.4× 14 672
Sándor Zoltán 331 1.4× 211 0.9× 181 0.9× 165 1.1× 44 0.4× 23 636
Jonathan Bullman 155 0.6× 265 1.1× 118 0.6× 119 0.8× 115 1.0× 22 636
Lieju Liu 297 1.2× 205 0.9× 179 0.9× 211 1.4× 53 0.5× 24 632
Anikó Perkecz 266 1.1× 127 0.5× 93 0.5× 78 0.5× 47 0.4× 22 611
Sara González‐Rodríguez 159 0.7× 290 1.2× 190 0.9× 165 1.1× 51 0.4× 42 656
Katelyn E. Sadler 87 0.4× 340 1.4× 188 0.9× 132 0.9× 62 0.5× 28 621
József Kun 191 0.8× 152 0.6× 135 0.7× 158 1.1× 27 0.2× 34 622
Eszter Pákai 353 1.5× 246 1.0× 161 0.8× 86 0.6× 26 0.2× 29 639

Countries citing papers authored by Angelika Varga

Since Specialization
Citations

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

Fields of papers citing papers by Angelika Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Varga

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

All Works

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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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