Michelle Angrish

2.0k citations
31 papers · 1.1k indexed · h-index 19

Impact in

Papers in

Michelle Angrish

30 papers receiving 1.1k citations

Peers

Michelle Angrish
Comparison fields: 5 of 123
  • Health, Toxicology and Mutagenesis 402
  • Small Animals 102
  • Chemical Health and Safety 9
  • Computational Theory and Mathematics 210
  • Environmental Chemistry 111
Replace Jason C. Lambert with:
Jason C. Lambert United States
Karine Audouze France
Andreas P. Freidig Netherlands
Hennicke Kamp Germany
Atsushi Ono Japan
Robert A. Budinsky United States
Marina V. Evans United States
Rebecca A. Clewell United States
Lyle D. Burgoon United States
Brian N. Chorley United States
Michelle Angrish relative to Jason C. Lambert United States Jason C. Lambert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michelle Angrish

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Angrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michelle Angrish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Angrish Line = papers co-authored together Michelle Angrish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018165
2 2017106
3 2018105
4 201590
5 202074
6 201262
7 201658
8 201650
9 201346
10 201243
11 201735
12 201833
13 201132
14 201731
15 202128
16 201927
17 201925
18 201822
19 202020
20 201617

About Michelle Angrish

Michelle Angrish is a scholar working on Health, Toxicology and Mutagenesis, Small Animals, Computational Theory and Mathematics, Pharmacology and Environmental Chemistry, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Biomedical Text Mining and Ontologies (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Animal testing and alternatives (4 papers), Air Quality and Health Impacts (4 papers), Toxic Organic Pollutants Impact (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (402 citations), Small Animals (102 citations), Chemical Health and Safety (9 citations), Computational Theory and Mathematics (210 citations) and Environmental Chemistry (111 citations). Michelle Angrish has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Timothy R. Zacharewski, Dries Knapen, Nathan Pollesch, Brian N. Chorley, Jason M. O’Brien, Marc Léonard, Ioanna Katsiadaki, Marie Fortin, Sharon Munn and Ley Cody Smith. Their work appears in journals such as Toxicological Sciences, Environmental Health Perspectives, Toxicology and Applied Pharmacology, Environmental Toxicology and Chemistry and Journal of Breath Research.

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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