David J. Feith

2.9k citations
93 papers · 2.4k · h-index 28

Impact in

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

Papers in

David J. Feith

92 papers receiving 2.3k citations

Peers

David J. Feith
Comparison fields: 5 of 105
  • Biochemistry 439
  • Molecular Biology 1.6k
  • Genetics 206
  • Hematology 195
  • Immunology 360
Replace Sharon M. Louie with:
Sharon M. Louie United States
Olaf Merkel Austria
Kristin Brown United States
Roberta Bortul Italy
Iannis Talianidis Greece
Michel Raymondjean France
Jonathan L. Coloff United States
Anwesha Dey United States
Anutosh Chakraborty United States
Tania Maffucci United Kingdom
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Citations per field
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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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014198
2 2015105
3 199890
4 201683
5 200583
6 200370
7
Targeted antizyme expression in the skin of transgenic mice reduces tumor promoter induction of ornithine decarboxylase and decreases sensitivity to chemical carcinogenesis.
200169
8
Antizyme overexpression in transgenic mice reduces cell proliferation, increases apoptosis, and reduces N-nitrosomethylbenzylamine-induced forestomach carcinogenesis.
200365
9 201664
10 200463
11 200462
12 200960
13 200756
14 201351
15 201350
16 202249
17 202144
18 201841
19 201941
20 202040

About David J. Feith

David J. Feith is a scholar working on Biochemistry, Immunology, Genetics, Molecular Biology and Hematology, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (27 papers), Sphingolipid Metabolism and Signaling (23 papers), Amino Acid Enzymes and Metabolism (18 papers), Chronic Lymphocytic Leukemia Research (16 papers), Immune Cell Function and Interaction (14 papers), Acute Myeloid Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (13 papers) and Cannabis and Cannabinoid Research (9 papers). The work is most often cited by research in Biochemistry (439 citations), Molecular Biology (1.6k citations), Genetics (206 citations), Hematology (195 citations) and Immunology (360 citations). David J. Feith has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Anthony E. Pegg, Thomas P. Loughran, Lisa M. Shantz, Su‐Fern Tan, Réka Albert, Steven Nathaniel Steinway, Jorge Gómez Tejeda Zañudo, Louise Y.Y. Fong, Kristine C. Olson and André S. Bachmann. Their work appears in journals such as Blood, Carcinogenesis, Blood Advances, 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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