Glendon D. Sinks

708 citations
25 papers · 639 · h-index 16

Impact in

Papers in

Glendon D. Sinks

25 papers receiving 602 citations

Peers

Glendon D. Sinks
Comparison fields: 5 of 90
  • Health, Toxicology and Mutagenesis 246
  • Computational Theory and Mathematics 269
  • Pollution 136
  • Environmental Chemistry 64
  • Toxicology 18
Replace Aalt Musch with:
Aalt Musch Netherlands
Antonio Chana Spain
Julie R. Seward United States
Suman Chakravarti United States
Martin Müller Germany
Leo P.A. De Jong Netherlands
Cosimo Toma Italy
Yana Koleva United Kingdom
Arkaprava Banerjee India
Glendon D. Sinks relative to Aalt Musch Netherlands Aalt Musch's profile →
Citations per field
00.5×
Aalt Musch · 1×
Citations per year

Countries citing papers authored by Glendon D. Sinks

Since Specialization
Citations

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

Fields of papers citing papers by Glendon D. Sinks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glendon D. Sinks. 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 Glendon D. Sinks. The network helps show where Glendon D. Sinks may publish in the future.

Co-authors

The 13 scholars most cited alongside Glendon D. Sinks, 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 Glendon D. Sinks Line = papers co-authored together Glendon D. Sinks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199975
2 200168
3 200266
4 200347
5 200045
6 200241
7 200039
8 199737
9 200132
10 200029
11 200124
12 199924
13 199523
14 200118
15 199817
16 199715
17 199212
18 20007
19 19995
20 20014

About Glendon D. Sinks

Glendon D. Sinks is a scholar working on Health, Toxicology and Mutagenesis, Organic Chemistry, Molecular Biology, Computational Theory and Mathematics and Pollution, having authored 25 papers that have together received 639 indexed citations. Recurring topics across this work include Free Radicals and Antioxidants (7 papers), Computational Drug Discovery Methods (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Toxic Organic Pollutants Impact (4 papers), Estrogen and related hormone effects (3 papers), Marine and coastal ecosystems (3 papers) and bioluminescence and chemiluminescence research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (246 citations), Computational Theory and Mathematics (269 citations), Pollution (136 citations), Environmental Chemistry (64 citations) and Toxicology (18 citations). Glendon D. Sinks has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include T.W. Schultz, M Cronin, T. Wayne Schultz, Julie R. Seward, Kevin S. Akers, S. Dimitrov, Ovanes Mekenyan, Lisa A. Miller, J.D. Quigley and Craig R. Reinemeyer. Their work appears in journals such as Environmental Toxicology and Chemistry, Environmental Toxicology, SAR and QSAR in environmental research, Aquatic Toxicology and Bulletin of Environmental Contamination and Toxicology.

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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