David J. Feith

2.9k citations
89 papers · 2.1k · h-index 28

Impact in

    • Amino Acid Enzymes and Metabolism
    • Polyamine Metabolism and Applications
    • Sphingolipid Metabolism and Signaling
    • Epigenetics and DNA Methylation

Papers in

    • Polyamine Metabolism and Applications 28
    • Sphingolipid Metabolism and Signaling 21
    • Immune Cell Function and Interaction 13

David J. Feith

87 papers receiving 2.1k citations

Peers

David J. Feith
Comparison fields: 5 of 104
  • Biochemistry 433
  • Molecular Biology 1.5k
  • Genetics 180
  • Pharmacology 247
  • Immunology 306
Replace Elizabeth J. Ackermann with:
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Michel Raymondjean France
Jeff L. Ellsworth United States
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Mei Kong United States
Walter Pyerin Germany
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David J. Feith relative to Elizabeth J. Ackermann United States Elizabeth J. Ackermann's profile →
Citations per field
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Elizabeth J. Ackermann · 1×
Citations per year

Countries citing papers authored by David J. Feith

Since Specialization
Citations

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

Fields of papers citing papers by David J. Feith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014195
2 2015105
3 199890
4 200581
5 200371
6
Targeted antizyme expression in the skin of transgenic mice reduces tumor promoter induction of ornithine decarboxylase and decreases sensitivity to chemical carcinogenesis.
200170
7
Antizyme overexpression in transgenic mice reduces cell proliferation, increases apoptosis, and reduces N-nitrosomethylbenzylamine-induced forestomach carcinogenesis.
200365
8 200462
9 201661
10 200461
11 200956
12 200754
13 201349
14 201347
15 202241
16 201941
17 200539
18 201839
19 201339
20 202038

About David J. Feith

David J. Feith is a scholar working on Molecular Biology, Immunology, Oncology, Biochemistry and Genetics, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (28 papers), Sphingolipid Metabolism and Signaling (21 papers), Amino Acid Enzymes and Metabolism (18 papers), Chronic Lymphocytic Leukemia Research (17 papers), Immune Cell Function and Interaction (13 papers), Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (10 papers) and Cannabis and Cannabinoid Research (9 papers). The work is most often cited by research in Biochemistry (433 citations), Molecular Biology (1.5k citations), Genetics (180 citations), Pharmacology (247 citations) and Immunology (306 citations). David J. Feith has collaborated with scholars based in United States, Spain and Egypt. Frequent co-authors include Anthony E. Pegg, Thomas P. Loughran, Lisa M. Shantz, Su‐Fern Tan, Jorge Gómez Tejeda Zañudo, Réka Albert, Steven N. Steinway, Louise Y.Y. Fong, Kristine C. Olson and Carl Bart Rountree. Their work appears in journals such as Blood, Carcinogenesis, Cancer Research, Journal of Lipid Research and Biochemical Journal.

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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