David G. Capco

3.6k total citations
75 papers, 3.0k citations indexed

About

David G. Capco is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Cell Biology. According to data from OpenAlex, David G. Capco has authored 75 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Public Health, Environmental and Occupational Health, 29 papers in Molecular Biology and 22 papers in Cell Biology. Recurrent topics in David G. Capco's work include Reproductive Biology and Fertility (34 papers), Microtubule and mitosis dynamics (15 papers) and Nanoparticles: synthesis and applications (10 papers). David G. Capco is often cited by papers focused on Reproductive Biology and Fertility (34 papers), Microtubule and mitosis dynamics (15 papers) and Nanoparticles: synthesis and applications (10 papers). David G. Capco collaborates with scholars based in United States, Germany and France. David G. Capco's co-authors include Sheldon Penman, William M. Bement, Robert W. McGaughey, G. Ian Gallicano, Katherine M. Wan, William R. Jeffery, Christine Pauken, Yongsheng Chen, Paul Westerhoff and James J. Faust and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David G. Capco

75 papers receiving 2.9k 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 G. Capco United States 35 1.6k 976 688 469 437 75 3.0k
Rustem Uzbekov France 30 1.5k 1.0× 476 0.5× 798 1.2× 320 0.7× 159 0.4× 91 2.7k
Ann E. Cowan United States 32 2.1k 1.3× 353 0.4× 426 0.6× 346 0.7× 112 0.3× 72 3.6k
Robert M. Zucker United States 35 1.1k 0.7× 429 0.4× 134 0.2× 286 0.6× 615 1.4× 122 3.3k
Ling Xiao China 33 1.1k 0.7× 168 0.2× 303 0.4× 297 0.6× 498 1.1× 113 3.8k
Shuhei Nakamura Japan 32 1.1k 0.7× 191 0.2× 269 0.4× 449 1.0× 526 1.2× 179 3.8k
W. J. Hage Netherlands 20 1.9k 1.2× 332 0.3× 438 0.6× 249 0.5× 93 0.2× 35 2.9k
Qinghua Shi China 39 3.0k 1.9× 1.2k 1.2× 474 0.7× 1.1k 2.3× 244 0.6× 237 5.7k
Roberto Buccione Italy 33 2.5k 1.5× 1.1k 1.2× 2.3k 3.3× 681 1.5× 27 0.1× 60 4.8k
Jérôme Gilleron France 27 2.3k 1.4× 173 0.2× 425 0.6× 381 0.8× 82 0.2× 63 3.3k
Haim Breitbart Israel 44 1.4k 0.9× 3.3k 3.4× 336 0.5× 3.9k 8.3× 122 0.3× 142 5.9k

Countries citing papers authored by David G. Capco

Since Specialization
Citations

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

Fields of papers citing papers by David G. Capco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Capco

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Capco. A scholar is included among the top collaborators of David G. Capco 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 G. Capco. David G. Capco 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.
Miller, Alyssa J., et al.. (2016). CRISPR/Cas9 and mitochondrial gene replacement therapy: promising techniques and ethical considerations.. PubMed Central. 5(2). 39–52. 35 indexed citations
2.
Capco, David G. & Yongsheng Chen. (2014). Nanomaterial : impacts on cell biology and medicine. DIAL (Catholic University of Leuven). 48 indexed citations
3.
Faust, James J., Kyle Doudrick, Yu Yang, Paul Westerhoff, & David G. Capco. (2014). Food grade titanium dioxide disrupts intestinal brush border microvilli in vitro independent of sedimentation. Cell Biology and Toxicology. 30(3). 169–188. 86 indexed citations
4.
Chen, Yongsheng, et al.. (2012). Human intestinal epithelial cells exhibit a cellular response indicating a potential toxicity upon exposure to hematite nanoparticles. Cell Biology and Toxicology. 28(5). 343–368. 24 indexed citations
5.
Zhang, Wen, et al.. (2010). Adsorption of hematite nanoparticles onto Caco-2 cells and the cellular impairments: effect of particle size. Nanotechnology. 21(35). 355103–355103. 53 indexed citations
6.
Capco, David G., et al.. (2008). GSK3β mediates acentromeric spindle stabilization by activated PKCζ. Developmental Biology. 317(1). 46–58. 27 indexed citations
7.
Huang, Adam, et al.. (2006). Thin structure segmentation and visualization in three-dimensional biomedical images: a shape-based approach. IEEE Transactions on Visualization and Computer Graphics. 12(1). 93–102. 21 indexed citations
8.
Koeneman, Brian A., et al.. (2004). PKC isotypes in post-activated and fertilized mouse eggs: association with the meiotic spindle. Developmental Biology. 274(1). 45–55. 37 indexed citations
9.
Pauken, Christine & David G. Capco. (2000). The Expression and Stage-Specific Localization of Protein Kinase C Isotypes during Mouse Preimplantation Development. Developmental Biology. 223(2). 411–421. 117 indexed citations
10.
Pauken, Christine & David G. Capco. (1999). Regulation of cell adhesion during embryonic compaction of mammalian embryos: Roles for PKC and ?-catenin. Molecular Reproduction and Development. 54(2). 135–144. 79 indexed citations
11.
Johnson, Joshua & David G. Capco. (1997). Progesterone acts through protein kinase C to remodel the cytoplasm as the amphibian oocyte becomes the fertilization-competent egg. Mechanisms of Development. 67(2). 215–226. 44 indexed citations
12.
Gallicano, G. Ian & David G. Capco. (1996). 9 Remodeling of the Specialized Intermediate Filament Network in Mammalian Eggs and Embryos during Development: Regulation by Protein Kinase C and Protein Kinase M. Current topics in developmental biology. 31. 277–320. 17 indexed citations
13.
Capco, David G.. (1995). Cytoskeletal mechanisms during animal development. Academic Press eBooks. 7 indexed citations
14.
Gallicano, G. Ian, et al.. (1995). A role for intermediate filaments in the establishment of the primitive epithelia during mammalian embryogenesis. Mechanisms of Development. 53(3). 305–321. 18 indexed citations
15.
Gallicano, G. Ian, Robert W. McGaughey, & David G. Capco. (1995). Protein Kinase M, the Cytosolic Counterpart of Protein Kinase C, Remodels the Internal Cytoskeleton of the Mammalian Egg during Activation. Developmental Biology. 167(2). 482–501. 46 indexed citations
16.
17.
Capco, David G. & William M. Bement. (1991). Chapter 13 Analysis of Cellular Signaling Events, the Cytoskeleton, and Spatial Organization of Macromolecules during Early Xenopus Development. Methods in cell biology. 36. 249–270. 8 indexed citations
18.
19.
Capco, David G., et al.. (1988). Analysis of proteins in the peripheral and central regions of amphibian oocytes and eggs. Cell Differentiation. 23(3). 155–164. 16 indexed citations
20.
Capco, David G., et al.. (1987). A method for analysis of the detergent-resistant cytoskeleton of cells within organs. Tissue and Cell. 19(5). 607–616. 9 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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