Endre Pál

102 total papers · 1.1k total citations
49 papers, 618 citations indexed

About

Endre Pál is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Endre Pál has authored 49 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 12 papers in Neurology. Recurrent topics in Endre Pál's work include Mitochondrial Function and Pathology (8 papers), Muscle Physiology and Disorders (8 papers) and Genetic Neurodegenerative Diseases (8 papers). Endre Pál is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), Muscle Physiology and Disorders (8 papers) and Genetic Neurodegenerative Diseases (8 papers). Endre Pál collaborates with scholars based in Hungary, Japan and United States. Endre Pál's co-authors include Norbert Kovács, Zsuzsanna Aschermann, Éva Balázs, Ferenc Nagy, Takashi Yamamura, Sachiko Miyake, Takeshi Tabira, Tetsu Kawano, Masaru Taniguchi and József Janszky and has published in prestigious journals such as The Journal of Immunology, The Journal of Comparative Neurology and International Journal of Molecular Sciences.

In The Last Decade

Endre Pál

43 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Endre Pál 222 180 155 144 113 49 618
Jost‐Julian Rumpf 145 0.7× 231 1.3× 175 1.1× 95 0.7× 141 1.2× 30 684
Çağrı Mesut Temuçin 185 0.8× 106 0.6× 86 0.6× 46 0.3× 118 1.0× 65 589
K Inoue 195 0.9× 210 1.2× 169 1.1× 51 0.4× 148 1.3× 30 637
Zaiwang Li 96 0.4× 130 0.7× 193 1.2× 61 0.4× 149 1.3× 31 695
Kana Sugimoto 79 0.4× 194 1.1× 188 1.2× 92 0.6× 99 0.9× 33 597
Liang Qiao 109 0.5× 110 0.6× 146 0.9× 26 0.2× 101 0.9× 33 522
Shalom Haggiag 259 1.2× 76 0.4× 92 0.6× 82 0.6× 102 0.9× 50 696
Graeme Hammond-Tooke 174 0.8× 91 0.5× 107 0.7× 33 0.2× 106 0.9× 33 552
Emiko Kawakami 158 0.7× 146 0.8× 165 1.1× 39 0.3× 171 1.5× 30 599
Takeshi Hiu 254 1.1× 123 0.7× 125 0.8× 19 0.1× 69 0.6× 69 639

Countries citing papers authored by Endre Pál

Since Specialization
Citations

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

Fields of papers citing papers by Endre Pál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Endre Pál

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