Daniel Radzicki

11 total papers · 822 total citations
9 papers, 635 citations indexed

About

Daniel Radzicki is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Daniel Radzicki has authored 9 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Daniel Radzicki's work include Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers) and Stress Responses and Cortisol (2 papers). Daniel Radzicki is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers) and Stress Responses and Cortisol (2 papers). Daniel Radzicki collaborates with scholars based in United States, Czechia and Japan. Daniel Radzicki's co-authors include Marco Martina, Maria Virginia Centeno, Amelia Mutso, Richard J. Miller, Ghazal Banisadr, Jelena Radulović, L. Q. Huang, Marwan N. Baliki, A. Vania Apkarian and Antonio Sanz-Clemente and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Daniel Radzicki

9 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Radzicki 310 229 150 122 122 9 635
Toby Manders 394 1.3× 264 1.2× 167 1.1× 95 0.8× 125 1.0× 10 742
Leônor Gonçalves 476 1.5× 268 1.2× 130 0.9× 110 0.9× 129 1.1× 11 637
Meritxell Llorca-Torralba 490 1.6× 352 1.5× 149 1.0× 156 1.3× 99 0.8× 20 746
Adam R. Burkey 383 1.2× 278 1.2× 200 1.3× 93 0.8× 163 1.3× 17 730
Nathan Eyde 414 1.3× 265 1.2× 151 1.0× 103 0.8× 80 0.7× 10 634
David Mayer 320 1.0× 304 1.3× 240 1.6× 129 1.1× 52 0.4× 14 764
Devsmita Das 201 0.6× 153 0.7× 86 0.6× 108 0.9× 102 0.8× 18 610
Linette Liqi Tan 334 1.1× 224 1.0× 224 1.5× 84 0.7× 53 0.4× 15 649
Charlie H.T. Kwok 292 0.9× 208 0.9× 71 0.5× 110 0.9× 55 0.5× 20 656
Nadège Altier 368 1.2× 304 1.3× 160 1.1× 116 1.0× 92 0.8× 12 641

Countries citing papers authored by Daniel Radzicki

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Radzicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Radzicki

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