Christopher A. Schafer

1.4k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Christopher A. Schafer is a scholar working on Molecular Biology, Cancer Research and Periodontics. According to data from OpenAlex, Christopher A. Schafer has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Periodontics. Recurrent topics in Christopher A. Schafer's work include Oral microbiology and periodontitis research (2 papers), Salivary Gland Disorders and Functions (2 papers) and Extracellular vesicles in disease (2 papers). Christopher A. Schafer is often cited by papers focused on Oral microbiology and periodontitis research (2 papers), Salivary Gland Disorders and Functions (2 papers) and Extracellular vesicles in disease (2 papers). Christopher A. Schafer collaborates with scholars based in United States, Taiwan and Bulgaria. Christopher A. Schafer's co-authors include David T. Wong, Jason J. Schafer, James J. Farrell, Janice Yoshizawa, Bruce J. Paster, Jieping Yang, Wei Fang, Paulo M. Camargo, Patrícia Oliveira de Lima and Robert E. Maxson and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Christopher A. Schafer

8 papers receiving 1.1k citations

Hit Papers

Salivary Biomarkers: Toward Future Clinical and Diagnosti... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher A. Schafer United States 8 586 338 280 228 106 8 1.1k
Haruhiko Kashiwazaki Japan 18 396 0.7× 221 0.7× 107 0.4× 232 1.0× 85 0.8× 60 1.1k
Mireya González–Begne United States 17 683 1.2× 286 0.8× 91 0.3× 458 2.0× 56 0.5× 19 1.4k
Kaya Yoshida Japan 24 753 1.3× 109 0.3× 157 0.6× 358 1.6× 33 0.3× 66 1.4k
Kazuo Sanada Japan 14 305 0.5× 450 1.3× 132 0.5× 294 1.3× 63 0.6× 29 920
Karol D. McNeill Canada 18 573 1.0× 282 0.8× 109 0.4× 87 0.4× 24 0.2× 25 1.2k
Mercedes F. Rivera United States 15 441 0.8× 195 0.6× 111 0.4× 536 2.4× 12 0.1× 18 1.1k
Bo Gong China 20 663 1.1× 74 0.2× 185 0.7× 22 0.1× 86 0.8× 113 1.5k

Countries citing papers authored by Christopher A. Schafer

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Schafer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher A. Schafer

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

All Works

8 of 8 papers shown
1.
Hughes, Michael W., Ting-Xin Jiang, Maksim V. Plikus, et al.. (2018). Msx2 Supports Epidermal Competency during Wound-Induced Hair Follicle Neogenesis. Journal of Investigative Dermatology. 138(9). 2041–2050. 21 indexed citations
2.
Schafer, Christopher A., Jason J. Schafer, Maha Yakob, et al.. (2014). Saliva Diagnostics: Utilizing Oral Fluids to Determine Health Status. Monographs in oral science. 24. 88–98. 87 indexed citations
3.
Yang, Jieping, Wei Fang, Christopher A. Schafer, & David T. Wong. (2014). Detection of Tumor Cell-Specific mRNA and Protein in Exosome-Like Microvesicles from Blood and Saliva. PLoS ONE. 9(11). e110641–e110641. 96 indexed citations
4.
Lau, Chang S., Yong Kim, David Chia, et al.. (2013). Role of Pancreatic Cancer-derived Exosomes in Salivary Biomarker Development. Journal of Biological Chemistry. 288(37). 26888–26897. 205 indexed citations
5.
Yoshizawa, Janice, Christopher A. Schafer, Jason J. Schafer, et al.. (2013). Salivary Biomarkers: Toward Future Clinical and Diagnostic Utilities. Clinical Microbiology Reviews. 26(4). 781–791. 458 indexed citations breakdown →
6.
Wu, Nancy, et al.. (2010). Inactivation of Msx1 and Msx2 in neural crest reveals an unexpected role in suppressing heterotopic bone formation in the head. Developmental Biology. 343(1-2). 28–39. 73 indexed citations
7.
Bahary, Nathan, Katsutoshi Goishi, Carsten Stuckenholz, et al.. (2007). Duplicate VegfA genes and orthologues of the KDR receptor tyrosine kinase family mediate vascular development in the zebrafish. Blood. 110(10). 3627–3636. 107 indexed citations
8.
Guo, Ping, Quan Fang, Christopher A. Schafer, et al.. (2003). Overexpression of vascular endothelial growth factor by MCF-7 breast cancer cells promotes estrogen-independent tumor growth in vivo.. PubMed. 63(15). 4684–91. 66 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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