D. L. Pompliano
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- Plant biochemistry and biosynthesis
- Microbial Metabolic Engineering and Bioproduction
- Chemical Synthesis and Analysis
- Biochemistry top 5%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Enzyme Catalysis and Immobilization 2
- Microbial Metabolic Engineering and Bioproduction 2
- Glycosylation and Glycoproteins Research 1
-
- Click Chemistry and Applications 1
- Co-authors
- W. Wayt Gibbs (3 shared papers)Elaine Rands (2 shared papers)Michael D. Schaber (2 shared papers)J. W. Frost (7 shared papers)Mark S. Marshall (1 shared paper)V M Garsky (1 shared paper)Masayuki Ohara (1 shared paper)Sheri L. Moores (1 shared paper)
- Journals
- Journal of the American Chemical Society (5 papers)Journal of Biological Chemistry (2 papers)Biochemical Journal (1 paper)Analytical Chemistry (1 paper)ChemInform (1 paper)
- Partner nations
- United States
In The Last Decade
D. L. Pompliano
10 papers receiving 994 citations
D. L. Pompliano's Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 817
- Biochemistry 80
- Cell Biology 148
- Oncology 201
- Organic Chemistry 162
Countries citing papers authored by D. L. Pompliano
This map shows the geographic impact of D. L. Pompliano'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 D. L. Pompliano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. L. Pompliano more than expected).
Fields of papers citing papers by D. L. Pompliano
This network shows the impact of papers produced by D. L. Pompliano. 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 D. L. Pompliano. The network helps show where D. L. Pompliano may publish in the future.
Co-authors
The 21 scholars most cited alongside D. L. Pompliano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sequence dependence of protein isoprenylation Hit paper breakdown → | 1991 | 504 |
| 2 | 1993 | 223 | |
| 3 | 1992 | 98 | |
| 4 | 1986 | 68 | |
| 5 | 1987 | 39 | |
| 6 | 1986 | 35 | |
| 7 | 1989 | 27 | |
| 8 | 1995 | 25 | |
| 9 | 1989 | 13 | |
| 10 | 1987 | 1 |
About D. L. Pompliano
D. L. Pompliano is a scholar working on Molecular Biology, Organic Chemistry, Pollution, Oncology and Pharmacology, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Pesticide and Herbicide Environmental Studies (2 papers), Enzyme Catalysis and Immobilization (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Click Chemistry and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Analytical Chemistry and Sensors (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (817 citations), Biochemistry (80 citations), Cell Biology (148 citations), Oncology (201 citations) and Organic Chemistry (162 citations). D. L. Pompliano has collaborated with scholars based in United States. Frequent co-authors include W. Wayt Gibbs, Elaine Rands, Michael D. Schaber, J. W. Frost, Mark S. Marshall, V M Garsky, Masayuki Ohara, Sheri L. Moores, Shashi Bala Singh and Edward M. Scolnick. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry, Biochemical Journal, Analytical Chemistry and ChemInform.
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.