David G. Belair

939 total citations
23 papers, 793 citations indexed

About

David G. Belair is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, David G. Belair has authored 23 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Biomedical Engineering and 7 papers in Oncology. Recurrent topics in David G. Belair's work include 3D Printing in Biomedical Research (8 papers), Angiogenesis and VEGF in Cancer (6 papers) and Pluripotent Stem Cells Research (5 papers). David G. Belair is often cited by papers focused on 3D Printing in Biomedical Research (8 papers), Angiogenesis and VEGF in Cancer (6 papers) and Pluripotent Stem Cells Research (5 papers). David G. Belair collaborates with scholars based in United States, Australia and Switzerland. David G. Belair's co-authors include William L. Murphy, Michael P. Schwartz, Thomas B. Knudsen, Samuel H. Gellman, James W. Checco, Barbara D. Abbott, Nader Sheibani, Dale F. Kreitler, Nicole C. Thomas and Nicholas J. Rettko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.

In The Last Decade

David G. Belair

22 papers receiving 784 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. Belair United States 15 446 309 147 118 107 23 793
Yoko Itakura Japan 16 504 1.1× 113 0.4× 100 0.7× 107 0.9× 46 0.4× 32 755
Jasmin Taubenschmid Austria 9 703 1.6× 245 0.8× 64 0.4× 152 1.3× 97 0.9× 10 992
Yuxiang Liang China 15 650 1.5× 203 0.7× 566 3.9× 158 1.3× 101 0.9× 29 1.3k
Qi Zhan China 18 601 1.3× 230 0.7× 164 1.1× 109 0.9× 115 1.1× 57 1.1k
Santosh Gupta India 13 432 1.0× 148 0.5× 117 0.8× 75 0.6× 88 0.8× 22 805
Jiahui Mao China 17 767 1.7× 135 0.4× 117 0.8× 50 0.4× 104 1.0× 47 1.1k
Ai Zhuang China 20 641 1.4× 274 0.9× 125 0.9× 125 1.1× 182 1.7× 49 1.3k
Sezin Aday Portugal 13 415 0.9× 280 0.9× 186 1.3× 54 0.5× 127 1.2× 22 962
Gemma Di Pompo Italy 18 449 1.0× 219 0.7× 54 0.4× 65 0.6× 279 2.6× 30 905

Countries citing papers authored by David G. Belair

Since Specialization
Citations

This map shows the geographic impact of David G. Belair'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. Belair 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. Belair more than expected).

Fields of papers citing papers by David G. Belair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Belair. A scholar is included among the top collaborators of David G. Belair 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. Belair. David G. Belair 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.
Belair, David G., Rebecca Kohnken, Rebecca L. McCloud, et al.. (2025). Predicting seizure liability of small molecules using an in vitro multi-electrode array based assay coupled with modeling of brain disposition. Current Research in Toxicology. 8. 100236–100236.
2.
Belair, David G., et al.. (2024). Evaluation and Optimization of a Microcavity Plate–Based Human Hepatocyte Spheroid Model for Predicting Clearance of Slowly Metabolized Drug Candidates. Drug Metabolism and Disposition. 52(8). 797–812. 8 indexed citations
3.
Belair, David G., et al.. (2021). Investigation Into the Role of ERK in Tyrosine Kinase Inhibitor-Induced Neuropathy. Toxicological Sciences. 181(2). 160–174. 10 indexed citations
4.
Belair, David G., et al.. (2020). Receptor mimicking TGF-β1 binding peptide for targeting TGF-β1 signaling. Biomaterials Science. 9(3). 645–652. 6 indexed citations
5.
Belair, David G., et al.. (2020). Thalidomide Inhibits Human iPSC Mesendoderm Differentiation by Modulating CRBN-dependent Degradation of SALL4. Scientific Reports. 10(1). 2864–2864. 23 indexed citations
6.
Belair, David G., et al.. (2020). Human ileal organoid model recapitulates clinical incidence of diarrhea associated with small molecule drugs. Toxicology in Vitro. 68. 104928–104928. 32 indexed citations
7.
Belair, David G., et al.. (2018). A Three-Dimensional Organoid Culture Model to Assess the Influence of Chemicals on Morphogenetic Fusion. Toxicological Sciences. 166(2). 394–408. 21 indexed citations
8.
Wolf, Cynthia J., et al.. (2018). Development of an organotypic stem cell model for the study of human embryonic palatal fusion. Birth Defects Research. 110(17). 1322–1334. 8 indexed citations
9.
Nguyen, Eric, William T. Daly, Mitra Farnoodian, et al.. (2017). Versatile synthetic alternatives to Matrigel for vascular toxicity screening and stem cell expansion. Nature Biomedical Engineering. 1(7). 115 indexed citations
10.
Belair, David G. & Barbara D. Abbott. (2017). Engineering epithelial-stromal interactions in vitro for toxicology assessment. Toxicology. 382. 93–107. 8 indexed citations
11.
Belair, David G., Cynthia J. Wolf, Carmen R. Wood, et al.. (2017). Engineering human cell spheroids to model embryonic tissue fusion in vitro. PLoS ONE. 12(9). e0184155–e0184155. 18 indexed citations
12.
Belair, David G., Michael J. Miller, Shoujian Wang, et al.. (2016). Differential regulation of angiogenesis using degradable VEGF-binding microspheres. Biomaterials. 93. 27–37. 25 indexed citations
13.
Belair, David G., Michael P. Schwartz, Thomas B. Knudsen, & William L. Murphy. (2016). Human iPSC-derived endothelial cell sprouting assay in synthetic hydrogel arrays. Acta Biomaterialia. 39. 12–24. 27 indexed citations
14.
Checco, James W., Dale F. Kreitler, Nicole C. Thomas, et al.. (2015). Targeting diverse protein–protein interaction interfaces with α/β-peptides derived from the Z-domain scaffold. Proceedings of the National Academy of Sciences. 112(15). 4552–4557. 98 indexed citations
15.
Belair, David G., et al.. (2015). A dimensionless variable for the scale up and transfer of a roller compaction formulation. Drug Development and Industrial Pharmacy. 42(1). 60–69. 14 indexed citations
16.
Checco, James W., Erinna F. Lee, Marco Evangelista, et al.. (2015). α/β-Peptide Foldamers Targeting Intracellular Protein–Protein Interactions with Activity in Living Cells. Journal of the American Chemical Society. 137(35). 11365–11375. 104 indexed citations
17.
Belair, David G., Jordan A. Whisler, Jorge Valdez, et al.. (2014). Human Vascular Tissue Models Formed from Human Induced Pluripotent Stem Cell Derived Endothelial Cells. Stem Cell Reviews and Reports. 11(3). 511–525. 103 indexed citations
18.
Belair, David G., Andrew Khalil, Michael J. Miller, & William L. Murphy. (2014). Serum-Dependence of Affinity-Mediated VEGF Release from Biomimetic Microspheres. Biomacromolecules. 15(6). 2038–2048. 21 indexed citations
19.
Belair, David G. & William L. Murphy. (2013). Specific VEGF sequestering to biomaterials: Influence of serum stability. Acta Biomaterialia. 9(11). 8823–8831. 24 indexed citations
20.
Koepsel, Justin T., et al.. (2012). A chemically-defined screening platform reveals behavioral similarities between primary human mesenchymal stem cells and endothelial cells. Integrative Biology. 4(12). 1508–1521. 15 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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