Marilyn Silva

38 papers receiving 646 citations

Peers

Marilyn Silva
Comparison fields: 5 of 100
  • Biochemistry 201
  • Pharmacology 118
  • Health, Toxicology and Mutagenesis 153
  • Pollution 89
  • Toxicology 23
Replace John R. Cashman with:
John R. Cashman United States
W. McLean Provan United Kingdom
Patricia E. Levi United States
Hans-Jörg Martin Germany
Kogo Hiraga Japan
Tadashi Sawahata Japan
Heribert Wefers Germany
Tamio Mizutani Japan
Tory Prestera United States
Sherry R. Black United States
Marilyn Silva relative to John R. Cashman United States John R. Cashman's profile →
Citations per field
00.5×10×14.3×
John R. Cashman · 1×
Citations per year

Countries citing papers authored by Marilyn Silva

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marilyn Silva, 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 Marilyn Silva Line = papers co-authored together Marilyn Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198890
2 200968
3 202054
4 200944
5 201539
6 198936
7 198635
8 201928
9 198627
10 198526
11 198726
12 199123
13 200918
14 201417
15 198717
16 200214
17 198811
18 200910
19 20208
20 19877

About Marilyn Silva

Marilyn Silva is a scholar working on Plant Science, Health, Toxicology and Mutagenesis, Pollution, Biochemistry and Molecular Biology, having authored 40 papers that have together received 670 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (14 papers), Pesticide and Herbicide Environmental Studies (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Environmental Toxicology and Ecotoxicology (7 papers), Biochemical Acid Research Studies (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Cannabis and Cannabinoid Research (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Biochemistry (201 citations), Pharmacology (118 citations), Health, Toxicology and Mutagenesis (153 citations), Pollution (89 citations) and Toxicology (23 citations). Marilyn Silva has collaborated with scholars based in United States, Brazil and Czechia. Frequent co-authors include Bruce D. Hammock, Roger N. Wixtrom, Derek W. Gammon, Sheryl Beauvais, David E. Moody, Toru Miyamoto, Bruce D. Hammock, Premjit P. Halarnkar, Shoba Iyer and Lauren Zeise. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Birth Defects Research, Archives of Biochemistry and Biophysics, Human and Ecological Risk Assessment An International Journal and Carcinogenesis.

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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