Michael D. Wilcox

663 total citations
39 papers, 475 citations indexed

About

Michael D. Wilcox is a scholar working on Molecular Biology, Economics and Econometrics and General Agricultural and Biological Sciences. According to data from OpenAlex, Michael D. Wilcox has authored 39 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Economics and Econometrics and 6 papers in General Agricultural and Biological Sciences. Recurrent topics in Michael D. Wilcox's work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Michael D. Wilcox is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Michael D. Wilcox collaborates with scholars based in United States, Germany and New Zealand. Michael D. Wilcox's co-authors include John D. Hildebrandt, Jane Dingus, Kevin L. Schey, Dayton M. Lambert, Christopher D. Clark, Motohiko Sato, Stephen M. Lanier, David J. Apple, Craig F. McCabe and Thomas A. Wesendahl and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Michael D. Wilcox

33 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Wilcox United States 14 204 68 52 52 49 39 475
Liyuan Wang China 11 79 0.4× 37 0.5× 35 0.7× 12 0.2× 50 1.0× 36 403
Marc Guérin Ireland 10 78 0.4× 34 0.5× 108 2.1× 96 1.8× 9 0.2× 24 304
Sarah C. Woodcock United Kingdom 10 505 2.5× 33 0.5× 40 0.8× 6 0.1× 2 0.0× 22 628
Wenjun Wang China 10 308 1.5× 41 0.6× 57 1.1× 17 0.3× 35 555
Rong Cui China 12 83 0.4× 7 0.1× 28 0.5× 25 0.5× 12 0.2× 42 392
Ya-Hui Kuo Taiwan 11 188 0.9× 12 0.2× 296 5.7× 117 2.3× 8 0.2× 16 548
Elizabeth Carter United States 6 81 0.4× 28 0.4× 5 0.1× 13 0.3× 4 0.1× 24 485
Ewa Miśkiewicz Canada 12 290 1.4× 18 0.3× 13 0.3× 10 0.2× 29 451
Qun Zhang China 10 112 0.5× 24 0.4× 3 0.1× 7 0.1× 20 0.4× 49 449
Ankita Jha India 9 91 0.4× 44 0.6× 2 0.0× 13 0.3× 22 372

Countries citing papers authored by Michael D. Wilcox

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Wilcox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Wilcox. 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 Michael D. Wilcox. The network helps show where Michael D. Wilcox may publish in the future.

Co-authorship network of co-authors of Michael D. Wilcox

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Wilcox. A scholar is included among the top collaborators of Michael D. Wilcox 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 Michael D. Wilcox. Michael D. Wilcox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bennett, Mia M., et al.. (2024). Divergent trajectories of Arctic change: Implications for future socio-economic patterns. AMBIO. 54(2). 239–255.
2.
Wilcox, Michael D., et al.. (2024). Before, during, and irrespective of the pandemic: leisure constraints and urban national park visitation. World Leisure Journal. 67(1). 33–53.
3.
4.
5.
Sauer, Thomas J., B. B. Hicks, Dayton M. Lambert, et al.. (2014). Bowen Ratio Energy Balance Measurement of Carbon Dioxide (CO<sub>2</sub>) Fluxes of No-Till and Conventional Tillage Agriculture in Lesotho. Open Journal of Soil Science. 4(3). 87–97. 9 indexed citations
6.
Velandia, Margarita, Christopher D. Clark, Dayton M. Lambert, et al.. (2014). Factors Affecting Producer Participation in State-sponsored Marketing Programs: The Case of Fruit and Vegetable Growers in Tennessee. Agricultural and Resource Economics Review. 43(2). 249–265. 9 indexed citations
7.
8.
Wilcox, Michael D., et al.. (2013). Examining Extension's Capacity in Community Resource and Economic Development: Viewpoints of Extension Administrators on the Role of Community Resource and Economic Development in the Extension Portfolio.. The Journal of Extension. 51(5). 6 indexed citations
9.
Lambert, Dayton M., Christopher D. Clark, Michael D. Wilcox, & William M. Park. (2009). Public Education Financing Trends and the Gray Peril Hypothesis. Growth and Change. 40(4). 619–648. 5 indexed citations
10.
Schey, Kevin L., et al.. (2005). Proteomic Analysis of Bovine Brain G Protein γ Subunit Processing Heterogeneity. Molecular & Cellular Proteomics. 5(4). 671–685. 24 indexed citations
11.
Wilcox, Michael D., et al.. (2002). Separation and Analysis of G Protein γ Subunits. Methods in enzymology on CD-ROM/Methods in enzymology. 344. 209–233. 3 indexed citations
12.
McIntire, William E., Jane Dingus, Michael D. Wilcox, & John D. Hildebrandt. (1999). The Relationship of Goα Subunit Deamidation to the Tissue Distribution, Nucleotide Binding Properties, and βγ Dimer Interactions of Goα Subunit Isoforms. Journal of Neurochemistry. 73(2). 633–640. 5 indexed citations
13.
Schey, Kevin L., et al.. (1998). Heterogeneous Processing of a G Protein γ Subunit at a Site Critical for Protein and Membrane Interactions. Biochemistry. 37(35). 12280–12286. 15 indexed citations
14.
Auffarth, Gerd U., et al.. (1996). Centration and fixation of silicone intraocular lenses: Clinicopathological findings in human autopsy eyes. Journal of Cataract & Refractive Surgery. 22(Supplement 2). 1281–1285. 15 indexed citations
15.
Auffarth, Gerd U., et al.. (1995). Analysis of 100 Explanted One-piece and Three-piece Silicone Intraocular Lenses. Ophthalmology. 102(8). 1144–1150. 37 indexed citations
16.
Wilcox, Michael D., Jane Dingus, William E. McIntire, et al.. (1995). Bovine Brain GO Isoforms Have Distinct γ Subunit Compositions. Journal of Biological Chemistry. 270(9). 4189–4192. 32 indexed citations
17.
Wilcox, Michael D., Kevin L. Schey, Mark Busman, & John D. Hildebrandt. (1995). Determination of the Complete Covalent Structure of the γ2 Subunit of Bovine Brain G Proteins by Mass Spectrometry. Biochemical and Biophysical Research Communications. 212(2). 367–374. 15 indexed citations
18.
Sato, Motohiko, et al.. (1995). Factors Determining Specificity of Signal Transduction by G-protein-coupled Receptors. Journal of Biological Chemistry. 270(25). 15269–15276. 66 indexed citations
19.
Dingus, Jane, Michael D. Wilcox, Russell E. Kohnken, & John D. Hildebrandt. (1994). [36] Synthesis and use of biotinylated βγ complexes prepared from bovine brain G proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 237. 457–471. 27 indexed citations
20.
Wilcox, Michael D., J. Wallace Parce, Michaël Thomas, & Douglas S. Lyles. (1990). A new bifunctional spin-label suitable for saturation-transfer EPR studies of protein rotational motion. Biochemistry. 29(24). 5734–5743. 6 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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