Ákos Pál

468 total citations
9 papers, 214 citations indexed

About

Ákos Pál is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Ákos Pál has authored 9 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Molecular Biology. Recurrent topics in Ákos Pál's work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ákos Pál is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ákos Pál collaborates with scholars based in United Kingdom, Hungary and Japan. Ákos Pál's co-authors include Péter Krajcsi, Dóra Méhn, Tamás Janáky, György Báthori, E. M. Molnar, Oliver von Richter, Hristos Glavinas, Tünde Nagy, P. Mészáros and Lajos Szente and has published in prestigious journals such as Scientific Reports, Journal of Pharmacology and Experimental Therapeutics and Molecular Cancer Therapeutics.

In The Last Decade

Ákos Pál

9 papers receiving 204 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ákos Pál United Kingdom 6 177 75 63 56 30 9 214
Narakorn Khunweeraphong Austria 8 184 1.0× 145 1.9× 39 0.6× 48 0.9× 54 1.8× 11 311
Dóra Méhn Hungary 9 281 1.6× 81 1.1× 124 2.0× 76 1.4× 34 1.1× 9 326
S. Harigae Japan 10 178 1.0× 183 2.4× 57 0.9× 70 1.3× 38 1.3× 11 370
H He China 4 224 1.3× 173 2.3× 69 1.1× 21 0.4× 21 0.7× 6 384
Shivakumar D. Patil United States 8 134 0.8× 194 2.6× 49 0.8× 39 0.7× 14 0.5× 8 425
T Rhodes United Kingdom 7 298 1.7× 151 2.0× 114 1.8× 52 0.9× 20 0.7× 7 380
M. Che United States 5 294 1.7× 94 1.3× 155 2.5× 129 2.3× 32 1.1× 9 381
Junkang Xu United States 6 332 1.9× 204 2.7× 105 1.7× 65 1.2× 65 2.2× 9 415
Aiko Fujino Japan 7 135 0.8× 75 1.0× 60 1.0× 33 0.6× 6 0.2× 9 310
Charles O. Mills United Kingdom 13 276 1.6× 64 0.9× 96 1.5× 154 2.8× 24 0.8× 26 420

Countries citing papers authored by Ákos Pál

Since Specialization
Citations

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

Fields of papers citing papers by Ákos Pál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ákos Pál

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

All Works

9 of 9 papers shown
1.
Pál, Ákos, Sharon Gowan, Yasmin J. Asad, et al.. (2022). Intracellular Metabolomics Identifies Efflux Transporter Inhibitors in a Routine Caco-2 Cell Permeability Assay—Biological Implications. Cells. 11(20). 3286–3286. 6 indexed citations
2.
Jardim‐Perassi, Bruna V., Ákos Pál, Yasmin J. Asad, et al.. (2022). Presence of human breast cancer xenograft changes the diurnal profile of amino acids in mice. Scientific Reports. 12(1). 1008–1008. 3 indexed citations
3.
Pál, Ákos, Yasmin J. Asad, Ruth Ruddle, et al.. (2020). Metabolomic changes of the multi (-AGC-) kinase inhibitor AT13148 in cells, mice and patients are associated with NOS regulation. Metabolomics. 16(4). 50–50. 3 indexed citations
4.
Carvalho, Diana, Nagore G. Olaciregui, Ruth Ruddle, et al.. (2018). DIPG-29. PRECLINICAL EFFICACY OF COMBINED ACVR1 AND PI3K/mTOR INHIBITION IN DIFFUSE INTRINSIC PONTINE GLIOMA (DIPG). Neuro-Oncology. 20(suppl_2). i54–i55. 2 indexed citations
5.
Ang, Joo Ern, Ákos Pál, Yasmin J. Asad, et al.. (2017). Modulation of Plasma Metabolite Biomarkers of the MAPK Pathway with MEK Inhibitor RO4987655: Pharmacodynamic and Predictive Potential in Metastatic Melanoma. Molecular Cancer Therapeutics. 16(10). 2315–2323. 8 indexed citations
6.
Herédi‐Szabó, Krisztina, Johan Palm, Tommy B. Andersson, et al.. (2013). A P-gp vesicular transport inhibition assay – Optimization and validation for drug–drug interaction testing. European Journal of Pharmaceutical Sciences. 49(4). 773–781. 31 indexed citations
7.
Pál, Ákos, Dóra Méhn, Beáta Tóth, et al.. (2010). Comparison of 3 Assay Systems Using a Common Probe Substrate, Calcein AM, for Studying P-gp Using a Selected Set of Compounds. SLAS DISCOVERY. 16(1). 112–119. 15 indexed citations
8.
Pál, Ákos, Dóra Méhn, E. M. Molnar, et al.. (2007). Cholesterol Potentiates ABCG2 Activity in a Heterologous Expression System: Improved in Vitro Model to Study Function of Human ABCG2. Journal of Pharmacology and Experimental Therapeutics. 321(3). 1085–1094. 90 indexed citations
9.
Glavinas, Hristos, Emese Kis, Ákos Pál, et al.. (2007). ABCG2 (Breast Cancer Resistance Protein/Mitoxantrone Resistance-Associated Protein) ATPase Assay: A Useful Tool to Detect Drug-Transporter Interactions. Drug Metabolism and Disposition. 35(9). 1533–1542. 56 indexed citations

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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