Daniel W. Nebert

58.1k citations
488 papers · 45.9k · 20 hit papers · h-index 105

Impact in

Papers in

    • Glutathione Transferases and Polymorphisms 35
    • Genomics, phytochemicals, and oxidative stress 31
    • Pharmacogenetics and Drug Metabolism 187

Daniel W. Nebert

479 papers receiving 44.0k citations

Daniel W. Nebert's Hit Papers

Feedback control of AHR signalling regulates intestinal immunity 2017 · 418 citations
4180+12+24Years since publication50010001.5k2.0k

Peers

Daniel W. Nebert
Comparison fields: 5 of 187
  • Pharmacology 16.3k
  • Health, Toxicology and Mutagenesis 10.2k
  • Cancer Research 9.4k
  • Biochemistry 3.8k
  • Oncology 7.9k
Replace F. Peter Guengerich with:
F. Peter Guengerich United States
Allan H. Conney United States
Sten Orrenius Sweden
Curtis D. Klaassen United States
Frank J. Gonzalez United States
David J. Waxman United States
Stephen Safe United States
Chung S. Yang United States
C. Roland Wolf United Kingdom
Magnus Ingelman‐Sundberg Sweden
Daniel W. Nebert relative to F. Peter Guengerich United States F. Peter Guengerich's profile →
Citations per field
00.5×1.5×2.5×
F. Peter Guengerich · 1×
Citations per year

Countries citing papers authored by Daniel W. Nebert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Nebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Nebert. 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 Daniel W. Nebert. The network helps show where Daniel W. Nebert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 488 papers — load more, or switch the sort, to bring in the rest.

#Work
1
P450 superfamily: update on new sequences, gene mapping, accession numbers and nomenclature
Hit paper breakdown →
19962401
2
Substrate-inducible Microsomal Aryl Hydroxylase in Mammalian Cell Culture
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19681548
3
P450 GENES: STRUCTURE, EVOLUTION, AND REGULATION
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19871341
4
Clinical importance of the cytochromes P450
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20021067
5
The UDP glycosyltransferase gene superfamily: recommended nomenclature update based on evolutionary divergence
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1997989
6
Role of Aryl Hydrocarbon Receptor-mediated Induction of the CYP1 Enzymes in Environmental Toxicity and Cancer
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2004958
7
The P450 Superfamily: Update on New Sequences, Gene Mapping, and Recommended Nomenclature
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1991903
8
Immune System Impairment and Hepatic Fibrosis in Mice Lacking the Dioxin-Binding Ah Receptor
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1995901
9
Role of the aromatic hydrocarbon receptor and [Ah] gene battery in the oxidative stress response, cell cycle control, and apoptosis
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2000814
10
Comparison of cytochrome P450 (CYP) genes from the mouse and human genomes, including nomenclature recommendations for genes, pseudogenes and alternative-splice variants
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2003788
11
The role of cytochrome P450 enzymes in endogenous signalling pathways and environmental carcinogenesis
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2006765
12
The P450 Gene Superfamily: Recommended Nomenclature
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1987660
13
Nomenclature update for the mammalian UDP glycosyltransferase (UGT) gene superfamily
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2005657
14
Mammalian genes coordinately regulated by growth arrest signals and DNA-damaging agents.
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1989620
15
Human ATP-binding cassette (ABC) transporter family
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2008580
16
Characterization of the common genetic defect in humans deficient in debrisoquine metabolism
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1988548
17
The P450 Superfamily: Updated Listing of All Genes and Recommended Nomenclature for the Chromosomal Loci
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1989520
18
Feedback control of AHR signalling regulates intestinal immunity
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2017418
19 1990392
20 1989391

About Daniel W. Nebert

Daniel W. Nebert is a scholar working on Molecular Biology, Pharmacology, Cancer Research, Health, Toxicology and Mutagenesis and Oncology, having authored 488 papers that have together received 45.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (187 papers), Carcinogens and Genotoxicity Assessment (149 papers), Drug Transport and Resistance Mechanisms (79 papers), Toxic Organic Pollutants Impact (69 papers), Effects and risks of endocrine disrupting chemicals (54 papers), Glutathione Transferases and Polymorphisms (35 papers), Eicosanoids and Hypertension Pharmacology (35 papers) and Genomics, phytochemicals, and oxidative stress (31 papers). The work is most often cited by research in Pharmacology (16.3k citations), Health, Toxicology and Mutagenesis (10.2k citations), Cancer Research (9.4k citations), Biochemistry (3.8k citations) and Oncology (7.9k citations). Daniel W. Nebert has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include Frank J. Gonzalez, Timothy P. Dalton, Harry V. Gelboin, Vasilis Vasiliou, Alvaro Puga, David W. Russell, David R. Nelson, Howard G. Shertzer, Shioko Kimura and Minor J. Coon. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Pharmacology, Human Genomics, Molecular Pharmacology and Biochemical and Biophysical Research Communications.

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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