János Pálhalmi

23 total papers · 789 total citations
14 papers, 456 citations indexed

About

János Pálhalmi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, János Pálhalmi has authored 14 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in János Pálhalmi's work include Neuroscience and Neuropharmacology Research (7 papers), Retinal Development and Disorders (5 papers) and Photoreceptor and optogenetics research (4 papers). János Pálhalmi is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Retinal Development and Disorders (5 papers) and Photoreceptor and optogenetics research (4 papers). János Pálhalmi collaborates with scholars based in Hungary, Italy and United Kingdom. János Pálhalmi's co-authors include Norbert Hájos, Ole Paulsen, Tamás F. Freund, Beáta Németh, Edward O. Mann, Gábor Juhász, Nóra Szilágyi, Péter Barabás, Katalin T. Biró and András József Tóth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

János Pálhalmi

12 papers receiving 451 citations

Author Peers

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

Author Last Decade Papers Cites
János Pálhalmi 342 282 130 29 26 14 456
Robin Michaels 106 0.3× 81 0.3× 227 1.7× 22 0.8× 36 1.4× 11 484
Angela M. Boley 300 0.9× 207 0.7× 81 0.6× 24 0.8× 23 0.9× 16 511
Dustin Anderson 358 1.0× 121 0.4× 349 2.7× 91 3.1× 51 2.0× 13 522
Susanne Pangratz-Fuehrer 307 0.9× 161 0.6× 137 1.1× 29 1.0× 20 0.8× 12 430
Diego E. Pafundo 212 0.6× 157 0.6× 134 1.0× 17 0.6× 35 1.3× 18 420
Ingrid van Welie 342 1.0× 219 0.8× 182 1.4× 48 1.7× 16 0.6× 10 448
Xiping Zhan 238 0.7× 179 0.6× 147 1.1× 70 2.4× 28 1.1× 17 498
R. John Cork 250 0.7× 65 0.2× 223 1.7× 33 1.1× 100 3.8× 20 430
Julio Echegoyen 309 0.9× 138 0.5× 128 1.0× 20 0.7× 46 1.8× 15 520
Moran Furman 237 0.7× 280 1.0× 114 0.9× 13 0.4× 9 0.3× 16 460

Countries citing papers authored by János Pálhalmi

Since Specialization
Citations

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

Fields of papers citing papers by János Pálhalmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Pálhalmi

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