Ildikó Rácz

35 total papers · 1.2k total citations
21 papers, 964 citations indexed

About

Ildikó Rácz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Ildikó Rácz has authored 21 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Ildikó Rácz's work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuropeptides and Animal Physiology (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Ildikó Rácz is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (7 papers), Neuropeptides and Animal Physiology (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Ildikó Rácz collaborates with scholars based in Germany, United States and Switzerland. Ildikó Rácz's co-authors include Andreas Zimmer, Jürg Gertsch, András Bilkei‐Gorzó, Bruno Pradier, Kerstin Michel, A. Markert, Trevor G. Smart, Erwin Sigel, Janine Marazzi and Roland Baur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Ildikó Rácz

20 papers receiving 947 citations

Author Peers

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

Author Last Decade Papers Cites
Ildikó Rácz 387 304 283 178 107 21 964
Pravinkumar Bhutada 288 0.7× 301 1.0× 248 0.9× 172 1.0× 90 0.8× 23 971
Ryoji Nishimura 410 1.1× 222 0.7× 376 1.3× 141 0.8× 60 0.6× 41 1.2k
Corina Bejar 241 0.6× 216 0.7× 400 1.4× 307 1.7× 156 1.5× 21 1.1k
Andréa da Silva Torrão 268 0.7× 234 0.8× 204 0.7× 168 0.9× 63 0.6× 40 830
Caroline Biojone 450 1.2× 250 0.8× 380 1.3× 125 0.7× 193 1.8× 37 1.1k
Mehrak Javadi‐Paydar 362 0.9× 258 0.8× 174 0.6× 209 1.2× 98 0.9× 42 920
Ettie Grauer 335 0.9× 282 0.9× 312 1.1× 208 1.2× 151 1.4× 40 1.2k
Sun Seek Min 257 0.7× 265 0.9× 133 0.5× 254 1.4× 125 1.2× 46 1.1k
Lindsay M. Lueptow 331 0.9× 413 1.4× 169 0.6× 323 1.8× 77 0.7× 19 1.2k
Stefan T. Kaehler 330 0.9× 201 0.7× 118 0.4× 163 0.9× 91 0.9× 31 1.0k

Countries citing papers authored by Ildikó Rácz

Since Specialization
Citations

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

Fields of papers citing papers by Ildikó Rácz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ildikó Rácz

This figure shows the co-authorship network connecting the top 25 collaborators of Ildikó Rácz. A scholar is included among the top collaborators of Ildikó Rácz 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 Ildikó Rácz. Ildikó Rácz 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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