Aalt Musch

652 total citations
8 papers, 527 citations indexed

About

Aalt Musch is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Plant Science. According to data from OpenAlex, Aalt Musch has authored 8 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 3 papers in Organic Chemistry and 3 papers in Plant Science. Recurrent topics in Aalt Musch's work include Computational Drug Discovery Methods (5 papers), Pesticide Exposure and Toxicity (3 papers) and Free Radicals and Antioxidants (2 papers). Aalt Musch is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Pesticide Exposure and Toxicity (3 papers) and Free Radicals and Antioxidants (2 papers). Aalt Musch collaborates with scholars based in Netherlands. Aalt Musch's co-authors include Joop L. M. Hermens, Peter Leeuwangh, Hans Könemann, F Busser, Hiltje Maas and Joseph G. Vos and has published in prestigious journals such as Toxicology and Applied Pharmacology, Environmental Toxicology and Chemistry and Ecotoxicology and Environmental Safety.

In The Last Decade

Aalt Musch

8 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aalt Musch Netherlands 7 332 148 145 67 63 8 527
Michael Comber United Kingdom 8 191 0.6× 184 1.2× 115 0.8× 29 0.4× 65 1.0× 10 544
S. Bintein Italy 9 229 0.7× 100 0.7× 164 1.1× 26 0.4× 42 0.7× 11 427
Glendon D. Sinks United States 15 241 0.7× 242 1.6× 123 0.8× 128 1.9× 132 2.1× 24 589
Martin Müller Germany 14 162 0.5× 133 0.9× 147 1.0× 63 0.9× 56 0.9× 24 425
Eñaut Urrestarazu Ramos Netherlands 12 525 1.6× 181 1.2× 314 2.2× 55 0.8× 125 2.0× 18 964
Juan M. Ribo Canada 12 257 0.8× 42 0.3× 196 1.4× 57 0.9× 159 2.5× 19 614
Julie R. Seward United States 10 258 0.8× 109 0.7× 238 1.6× 63 0.9× 67 1.1× 12 449
Jay Tunkel United States 9 281 0.8× 162 1.1× 277 1.9× 45 0.7× 40 0.6× 12 575
JV Nabholz United States 8 139 0.4× 151 1.0× 89 0.6× 41 0.6× 30 0.5× 13 339
Simon Spycher Switzerland 11 152 0.5× 128 0.9× 160 1.1× 79 1.2× 192 3.0× 20 631

Countries citing papers authored by Aalt Musch

Since Specialization
Citations

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

Fields of papers citing papers by Aalt Musch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aalt Musch

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

All Works

8 of 8 papers shown
1.
Hermens, Joop L. M., et al.. (1985). Quantitative correlation studies between the acute lethal toxicity of 15 organic halides to the guppy (Poecillah Reticulata) and chemical reactivity towards 4‐nitrobenzylpyridine. Toxicological & Environmental Chemistry Reviews. 9(3). 219–236. 60 indexed citations
2.
Hermens, Joop L. M., et al.. (1985). Quantitative structure-activity relationships in aquatic toxicity studies of chemicals and complex mixtures of chemicals. Environmental Toxicology and Chemistry. 4(3). 273–279. 34 indexed citations
3.
Hermens, Joop L. M., Peter Leeuwangh, & Aalt Musch. (1985). Joint toxicity of mixtures of groups of organic aquatic pollutants to the guppy (Poecilia reticulata). Ecotoxicology and Environmental Safety. 9(3). 321–326. 51 indexed citations
4.
Hermens, Joop L. M., F Busser, Peter Leeuwangh, & Aalt Musch. (1985). Quantitative structure-activity relationships and mixture toxicity of organic chemicals in Photobacterium phosphoreum: The microtox test. Ecotoxicology and Environmental Safety. 9(1). 17–25. 101 indexed citations
5.
Hermens, Joop L. M., Hans Könemann, Peter Leeuwangh, & Aalt Musch. (1985). QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS IN AQUATIC TOXICITY STUDIES OF CHEMICALS AND COMPLEX MIXTURES OF CHEMICALS. Environmental Toxicology and Chemistry. 4(3). 273–273. 2 indexed citations
6.
Hermens, Joop L. M., Peter Leeuwangh, & Aalt Musch. (1984). Quantitative structure-activity relationships and mixture toxicity studies of chloro- and alkylanilines at an acute lethal toxicity level to the guppy (Poecilia reticulata). Ecotoxicology and Environmental Safety. 8(4). 388–394. 103 indexed citations
7.
Könemann, Hans & Aalt Musch. (1981). Quantitative structure-activity relationships in fish toxicity studies Part 2: The influence of pH on the QSAR of chlorophenols. Toxicology. 19(3). 223–228. 112 indexed citations
8.
Vos, Joseph G., et al.. (1971). Toxicity of hexachlorobenzene in Japanese quail with special reference to porphyria, liver damage, reproduction, and tissue residues. Toxicology and Applied Pharmacology. 18(4). 944–957. 64 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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