Dániel Mucs

1.7k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Dániel Mucs is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Dániel Mucs has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 6 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Dániel Mucs's work include Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Dániel Mucs is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Dániel Mucs collaborates with scholars based in Sweden, United Kingdom and United States. Dániel Mucs's co-authors include Christian Lindh, Tony Fletcher, Pia Tallving, Kristina Jakobsson, Ying Li, Kristin Scott, Ulf Norinder, Jin Zhang, Fredrik Svensson and Richard A. Bryce and has published in prestigious journals such as PLoS ONE, Chemosphere and Environment International.

In The Last Decade

Dániel Mucs

16 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Half-lives of PFOS, PFHxS and PFOA after end of exposure to contaminated drinking water

2017 615 citations Ying Li, Tony Fletcher et al. Occupational and Environmental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dániel Mucs Sweden	12	848	699	227	192	163	17	1.3k
Miyoung Yoon United States	20	312 0.4×	797 1.1×	38 0.2×	190 1.0×	128 0.8×	69	1.5k
Anne E. Loccisano United States	10	414 0.5×	387 0.6×	58 0.3×	104 0.5×	112 0.7×	18	685
Hubert Dirven Norway	25	371 0.4×	954 1.4×	63 0.3×	160 0.8×	447 2.7×	75	2.1k
Robert D. Zehr United States	22	1.2k 1.4×	996 1.4×	107 0.5×	328 1.7×	198 1.2×	32	1.6k
Lisa B. Biegel United States	15	1.0k 1.2×	1.5k 2.1×	180 0.8×	183 1.0×	249 1.5×	24	2.0k
Diane L. Nabb United States	16	649 0.8×	817 1.2×	202 0.9×	46 0.2×	85 0.5×	25	1.1k
David G. Farrar United States	11	1.1k 1.3×	906 1.3×	232 1.0×	126 0.7×	102 0.6×	23	1.3k
Raymond G. York United States	20	903 1.1×	1.1k 1.5×	146 0.6×	306 1.6×	116 0.7×	43	1.6k
Paul H. Lieder United States	11	572 0.7×	459 0.7×	168 0.7×	73 0.4×	64 0.4×	19	791
Lisa Sweeney United States	20	217 0.3×	559 0.8×	76 0.3×	41 0.2×	218 1.3×	74	1.5k

Countries citing papers authored by Dániel Mucs

Since Specialization

Citations

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

Fields of papers citing papers by Dániel Mucs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Mucs

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

All Works

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17 of 17 papers shown

Buerger, Amanda N., Andrey Massarsky, Anthony P. Russell, et al.. (2023). Evaluation of chemical grouping workflows for flavor inhalation risk assessment: Selected furan moiety-containing chemicals as a case study. Computational Toxicology. 26. 100269–100269. 1 indexed citations

Whitehead, Thomas M., et al.. (2023). Quantifying the Benefits of Imputation over QSAR Methods in Toxicology Data Modeling. Journal of Chemical Information and Modeling. 64(7). 2624–2636. 4 indexed citations

Björväng, Richelle D., Nikos Papadogiannakis, Sebastian Gidlöf, et al.. (2021). Mixtures of persistent organic pollutants are found in vital organs of late gestation human fetuses. Chemosphere. 283. 131125–131125. 41 indexed citations

Ahrens, Lutz, et al.. (2020). Investigating the OECD database of per- and polyfluoroalkyl substances – chemical variation and applicability of current fate models. Environmental Chemistry. 17(7). 498–508. 16 indexed citations

Mamsen, Linn Salto, Richelle D. Björväng, Dániel Mucs, et al.. (2019). Concentrations of perfluoroalkyl substances (PFASs) in human embryonic and fetal organs from first, second, and third trimester pregnancies. Environment International. 124. 482–492. 244 indexed citations

Zhang, Jin, Dániel Mucs, Ulf Norinder, & Fredrik Svensson. (2019). LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity–Application to the Tox21 and Mutagenicity Data Sets. Journal of Chemical Information and Modeling. 59(10). 4150–4158. 174 indexed citations

Norinder, Ulf, J. Jesús Naveja, Edgar López‐López, Dániel Mucs, & José L. Medina‐Franco. (2019). Conformal prediction of HDAC inhibitors. SAR and QSAR in environmental research. 30(4). 265–277. 16 indexed citations

Norinder, Ulf, et al.. (2018). Creating an efficient screening model for TRPV1 agonists using conformal prediction. Computational Toxicology. 6. 9–15. 1 indexed citations

Varshney, Mukesh, Dániel Mucs, José Inzunza, et al.. (2018). Fluoxetine Affects Differentiation of Midbrain Dopaminergic Neurons In Vitro. Molecular Pharmacology. 94(4). 1220–1231. 12 indexed citations

10.

Naveja, J. Jesús, Ulf Norinder, Dániel Mucs, Edgar López‐López, & José L. Medina‐Franco. (2018). Chemical space, diversity and activity landscape analysis of estrogen receptor binders. RSC Advances. 8(67). 38229–38237. 14 indexed citations

11.

Martinsson, K., Karin Cederbrant, Johan Jirholt, et al.. (2017). HLA-DR7 and HLA-DQ2: Transgenic mouse strains tested as a model system for ximelagatran hepatotoxicity. PLoS ONE. 12(9). e0184744–e0184744. 11 indexed citations

12.

Li, Ying, Tony Fletcher, Dániel Mucs, et al.. (2017). Half-lives of PFOS, PFHxS and PFOA after end of exposure to contaminated drinking water. Occupational and Environmental Medicine. 75(1). 46–51. 615 indexed citations breakdown →

13.

Quintana-Belmares, Raúl, Annette M. Krais, Irma Rosas‐Pérez, et al.. (2017). Phthalate esters on urban airborne particles: Levels in PM10 and PM2.5 from Mexico City and theoretical assessment of lung exposure. Environmental Research. 161. 439–445. 55 indexed citations

14.

Li, Ying, Dániel Mucs, Christian Lindh, et al.. (2017). Technical Report - Half-lives of PFOS, PFHxS and PFOA after end of exposure to contaminated drinking water. Gothenburg University Publications Electronic Archive (Gothenburg University). 11 indexed citations

15.

Mucs, Dániel & Richard A. Bryce. (2013). The application of quantum mechanics in structure-based drug design. Expert Opinion on Drug Discovery. 8(3). 263–276. 67 indexed citations

16.

Mucs, Dániel, Richard A. Bryce, & Pascal Bonnet. (2011). Application of shape-based and pharmacophore-based in silico screens for identification of Type II protein kinase inhibitors. Journal of Computer-Aided Molecular Design. 25(6). 569–581. 9 indexed citations

17.

Bonnet, Pascal, Dániel Mucs, & Richard A. Bryce. (2011). Targeting the inactive conformation of protein kinases: computational screening based on ligand conformation. MedChemComm. 3(4). 434–440. 7 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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