F. Iverson

2.9k citations
78 papers · 2.3k indexed · h-index 30

F. Iverson

78 papers receiving 2.1k citations

Peers

F. Iverson
Comparison fields: 5 of 115
  • Environmental Chemistry 633
  • Health, Toxicology and Mutagenesis 549
  • Cancer Research 506
  • Toxicology 72
  • Biochemistry 96
Replace E.A. Nera with:
E.A. Nera Canada
Toine F. H. Bovee Netherlands
Kuniro Tsuji Japan
Makoto Ojika Japan
Evan P. Gallagher United States
Eva B. Brittebo Sweden
Chikako Uneyama Japan
Amparo Alfonso Spain
W.G.E.J. Schoonen Netherlands
Douglas E. Goeger United States
F. Iverson relative to E.A. Nera Canada E.A. Nera's profile →
Citations per field
00.5×3.7×
E.A. Nera · 1×
Citations per year

Countries citing papers authored by F. Iverson

Since Specialization
Citations

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

Fields of papers citing papers by F. Iverson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20015
2 199942
3 199840
4 19989
5 199642
6 199686
7 19968
8 199566
9 199432
10 199446
11 1994101
12 199475
13 199045
14
The toxicology of domoic acid administered systemically to rodents and primates.
199034
15 1989103
16 19887
17 198860
18 198856
19 197916
20 197720

About F. Iverson

F. Iverson is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis, Cancer Research, Toxicology and Pharmacology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (17 papers), Marine Toxins and Detection Methods (14 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Pesticide Exposure and Toxicity (7 papers), Toxic Organic Pollutants Impact (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Animal Ecology and Behavior Studies (5 papers). The work is most often cited by research in Environmental Chemistry (633 citations), Health, Toxicology and Mutagenesis (549 citations), Cancer Research (506 citations), Toxicology (72 citations) and Biochemistry (96 citations). F. Iverson has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include E.A. Nera, David B. Clayson, L. Tryphonas, John Truelove, J. Truelove, E. Lok, A. R. Main, K. Karpinski, Rekha Mehta and K. S. Khera. Their work appears in journals such as Food and Chemical Toxicology, Bulletin of Environmental Contamination and Toxicology, Toxicology, Cancer Letters and Toxicology and Applied Pharmacology.

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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