David A. Giegel

726 total citations
17 papers, 487 citations indexed

About

David A. Giegel is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, David A. Giegel has authored 17 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in David A. Giegel's work include Cell death mechanisms and regulation (4 papers), interferon and immune responses (2 papers) and Molecular Sensors and Ion Detection (2 papers). David A. Giegel is often cited by papers focused on Cell death mechanisms and regulation (4 papers), interferon and immune responses (2 papers) and Molecular Sensors and Ion Detection (2 papers). David A. Giegel collaborates with scholars based in United States, Spain and United Kingdom. David A. Giegel's co-authors include Charles H. Williams, R. R. Annand, John A. Mankovich, Vincent Massey, Tariq Ghayur, Maxine Fico Santoro, Gernot Walter, Maria Hackett, Matthew Brady and Winnie W. Wong and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemistry.

In The Last Decade

David A. Giegel

17 papers receiving 480 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David A. Giegel United States 10 340 86 60 57 50 17 487
Lea Knoepfel Switzerland 6 333 1.0× 144 1.7× 53 0.9× 56 1.0× 46 0.9× 7 542
Alan M. Mahrenholz United States 10 517 1.5× 105 1.2× 59 1.0× 29 0.5× 89 1.8× 13 709
Cynthia S. Collins United States 9 732 2.2× 60 0.7× 61 1.0× 86 1.5× 79 1.6× 11 848
Tara L. Davis Canada 15 541 1.6× 90 1.0× 91 1.5× 27 0.5× 86 1.7× 17 723
Phillip C.C. Liu United States 14 612 1.8× 90 1.0× 50 0.8× 36 0.6× 76 1.5× 22 750
Lanmin Zhai United States 12 383 1.1× 57 0.7× 32 0.5× 27 0.5× 79 1.6× 16 652
Shuangding Wu United States 11 473 1.4× 176 2.0× 84 1.4× 59 1.0× 46 0.9× 13 621
T Tamaoki Japan 8 417 1.2× 49 0.6× 40 0.7× 33 0.6× 69 1.4× 15 557
Kyle W. Sherrill United States 7 422 1.2× 34 0.4× 39 0.7× 44 0.8× 39 0.8× 7 480
Ralf‐Jürgen Kuban Germany 12 420 1.2× 84 1.0× 91 1.5× 145 2.5× 38 0.8× 20 646

Countries citing papers authored by David A. Giegel

Since Specialization
Citations

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

Fields of papers citing papers by David A. Giegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Giegel

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Giegel. A scholar is included among the top collaborators of David A. Giegel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David A. Giegel. David A. Giegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Xu, Shuichan, Mahan Abbasian, Kristen Jensen-Pergakes, et al.. (2007). Substrate Recognition and Ubiquitination of SCFSkp2/Cks1 Ubiquitin-Protein Isopeptide Ligase. Journal of Biological Chemistry. 282(21). 15462–15470. 20 indexed citations
2.
Xu, Shuichan, Mahan Abbasian, David A. Giegel, et al.. (2005). In Vitro SCFβ‐Trcp1–Mediated IκBα Ubiquitination Assay for High‐Throughput Screen. Methods in enzymology on CD-ROM/Methods in enzymology. 399. 729–740. 11 indexed citations
3.
Marks, James S., Douglas Burdette, & David A. Giegel. (2003). Homogeneous Techniques for Monitoring Receptor-Ligand Interactions. Humana Press eBooks. 190. 51–63. 4 indexed citations
4.
Davioud–Charvet, Elisabeth, Michael J. McLeish, Donna M. Veine, et al.. (2003). Mechanism-Based Inactivation of Thioredoxin Reductase from Plasmodium falciparum by Mannich Bases. Implication for Cytotoxicity. Biochemistry. 42(45). 13319–13330. 51 indexed citations
5.
Donahue, Christopher J., Maxine Fico Santoro, Donald Hupe, et al.. (2001). Correlating cell cycle with apoptosis in a cell line expressing a tandem green fluorescent protein substrate specific for group II caspases. Cytometry. 45(3). 225–234. 8 indexed citations
6.
Annand, R. R., Jeffrey R. Dahlen, Cindy A. Sprecher, et al.. (1999). Caspase-1 (interleukin-1β-converting enzyme) is inhibited by the human serpin analogue proteinase inhibitor 9. Biochemical Journal. 342(3). 655–665. 88 indexed citations
7.
Santoro, Maxine Fico, R. R. Annand, Matthew Brady, et al.. (1998). Regulation of Protein Phosphatase 2A Activity by Caspase-3 during Apoptosis. Journal of Biological Chemistry. 273(21). 13119–13128. 130 indexed citations
8.
Vasilakos, John P., Timothy Lynch, Tariq Ghayur, et al.. (1997). Caspase-3/CPP32-like activity is not sufficient to mediate apoptosis in an IL-2 dependent T cell line. APOPTOSIS. 2(3). 289–303. 4 indexed citations
9.
Miller, Douglas K. & David A. Giegel. (1997). ICE viewpoint. Journal of Cellular Biochemistry. 64(1). 1–1. 9 indexed citations
10.
Giegel, David A.. (1997). ICE processing and kinetic mechanism. Journal of Cellular Biochemistry. 64(1). 11–18. 5 indexed citations
11.
Vasilakos, John P., Tariq Ghayur, Rogayah Carroll, et al.. (1995). IL-1 β converting enzyme (ICE) is not required for apoptosis induced by lymphokine deprivation in an IL-2-dependent T cell line. The Journal of Immunology. 155(7). 3433–3442. 28 indexed citations
12.
Keane, Karen M., David A. Giegel, William J. Lipinski, Michael J. Callahan, & Brenda D. Shivers. (1995). Cloning, Tissue Expression and Regulation of Rat Interleukin 1β Converting Enzyme. Cytokine. 7(2). 105–110. 31 indexed citations
13.
Giegel, David A., Charles H. Williams, & Vincent Massey. (1990). L-lactate 2-monooxygenase from Mycobacterium smegmatis. Cloning, nucleotide sequence, and primary structure homology within an enzyme family.. Journal of Biological Chemistry. 265(12). 6626–6632. 49 indexed citations
14.
Giegel, David A., Vincent Massey, & Charles H. Williams. (1987). L-lactate-2-monooxygenase. Sequence of peptides containing residues modified by 1-fluoro-2,4-dinitrobenzene.. Journal of Biological Chemistry. 262(12). 5705–5710. 8 indexed citations
15.
Price, Steven, A. L. Kahler, Arnel R. Hallauer, Patrick Charmley, & David A. Giegel. (1986). Relationships between performance and multilocus heterozygosity at enzyme loci in single-cross hybrids of maize. Journal of Heredity. 77(5). 341–344. 21 indexed citations
16.
Smith, Joseph Donald & David A. Giegel. (1982). Effect of a phosphonic acid analog of choline phosphate on phospholipid metabolism in Tetrahymena. Archives of Biochemistry and Biophysics. 213(2). 595–601. 8 indexed citations
17.
Smith, Joseph Donald & David A. Giegel. (1981). Replacement of ethanolamine phosphate by 3-aminopropylphosphonate in the phospholipids of Tetrahymena. Archives of Biochemistry and Biophysics. 206(2). 420–423. 12 indexed citations

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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