V. J. Feil

1.5k citations
87 papers · 1.1k · h-index 20

Impact in

Papers in

V. J. Feil

86 papers receiving 1.0k citations

Peers

V. J. Feil
Comparison fields: 5 of 104
  • Pharmacology 193
  • Health, Toxicology and Mutagenesis 288
  • Biochemistry 108
  • Sensory Systems 61
  • Pollution 150
Replace J. E. Bakke with:
J. E. Bakke United States
William T. Stott United States
Patricia E. Levi United States
Jack L. Radomski United States
Douglas E. Goeger United States
Ming‐Cheh Liu United States
Marvin A. Friedman United States
Robert W. Chadwick United States
I. Chu Canada
Walter H. Hansen United States
V. J. Feil relative to J. E. Bakke United States J. E. Bakke's profile →
Citations per field
00.5×4.5×
J. E. Bakke · 1×
Citations per year

Countries citing papers authored by V. J. Feil

Since Specialization
Citations

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

Fields of papers citing papers by V. J. Feil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. J. Feil. 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 V. J. Feil. The network helps show where V. J. Feil may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199087
2 198553
3 197242
4 200034
5 198833
6 197033
7 199131
8 198331
9 197630
10 200228
11 197027
12 196725
13 200123
14 197922
15 200022
16 198821
17 199720
18 197120
19 196720
20 200419

About V. J. Feil

V. J. Feil is a scholar working on Health, Toxicology and Mutagenesis, Pharmacology, Molecular Biology, Animal Science and Zoology and Organic Chemistry, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (12 papers), Drug Transport and Resistance Mechanisms (11 papers), Carcinogens and Genotoxicity Assessment (10 papers), Pharmacogenetics and Drug Metabolism (9 papers), Analytical Chemistry and Chromatography (8 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Pharmacological Effects and Assays (7 papers). The work is most often cited by research in Pharmacology (193 citations), Health, Toxicology and Mutagenesis (288 citations), Biochemistry (108 citations), Sensory Systems (61 citations) and Pollution (150 citations). V. J. Feil has collaborated with scholars based in United States and Sweden. Frequent co-authors include J. E. Bakke, Richard G. Zaylskie, Ingvar Brandt, G. L. Larsen, Eva B. Brittebo, G. D. Paulson, Janice K. Huwe, Joe D. Robbins, David J. Smith and K. L. Davison. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Xenobiotica, Journal of Mass Spectrometry, Journal of Animal Science and Chemosphere.

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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