Chad M. Moles

551 total citations
11 papers, 373 citations indexed

About

Chad M. Moles is a scholar working on Molecular Biology, Rehabilitation and Genetics. According to data from OpenAlex, Chad M. Moles has authored 11 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Rehabilitation and 4 papers in Genetics. Recurrent topics in Chad M. Moles's work include Wound Healing and Treatments (4 papers), Virus-based gene therapy research (3 papers) and Lymphatic System and Diseases (3 papers). Chad M. Moles is often cited by papers focused on Wound Healing and Treatments (4 papers), Virus-based gene therapy research (3 papers) and Lymphatic System and Diseases (3 papers). Chad M. Moles collaborates with scholars based in United States. Chad M. Moles's co-authors include Sundeep G. Keswani, Swathi Balaji, Timothy M. Crombleholme, Paul L. Bollyky, Aimen F. Shaaban, Allan M. Goldstein, Michael J. Morowitz, David J. Hackam, Lily S. Cheng and John S. Kuo and has published in prestigious journals such as Cancer Research, Annals of Surgery and The FASEB Journal.

In The Last Decade

Chad M. Moles

10 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad M. Moles United States 8 132 104 84 69 50 11 373
Brian A. Raphael United States 6 199 1.5× 34 0.3× 31 0.4× 64 0.9× 7 0.1× 8 654
W. John Kitzmiller United States 12 54 0.4× 42 0.4× 41 0.5× 46 0.7× 4 0.1× 20 425
Yasser Almadani Canada 6 97 0.7× 13 0.1× 85 1.2× 15 0.3× 9 323
Johanna Nunez United States 8 63 0.5× 6 0.1× 2 0.0× 41 0.6× 11 0.2× 14 221
Samir Malhotra United States 9 113 0.9× 57 0.5× 52 0.8× 3 0.1× 13 308
Lina Wong United States 5 62 0.5× 20 0.2× 72 1.0× 38 0.8× 5 355
Pier Giacomo Betta Italy 10 87 0.7× 19 0.2× 46 0.7× 9 0.2× 24 462
Katrin Riedel Germany 13 144 1.1× 26 0.3× 66 1.0× 6 0.1× 32 383
Marc R. Avram United States 13 55 0.4× 20 0.2× 2 0.0× 36 0.5× 3 0.1× 40 749
Kathryn C. Behling United States 12 61 0.5× 101 1.0× 127 1.8× 5 0.1× 39 477

Countries citing papers authored by Chad M. Moles

Since Specialization
Citations

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

Fields of papers citing papers by Chad M. Moles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad M. Moles. 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 Chad M. Moles. The network helps show where Chad M. Moles may publish in the future.

Co-authorship network of co-authors of Chad M. Moles

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

All Works

11 of 11 papers shown
1.
Moles, Chad M., et al.. (2024). Abstract 7253: Oncolytic virus therapy with two-factor authentication shows robust safety and efficacy in liver cancer. Cancer Research. 84(6_Supplement). 7253–7253. 1 indexed citations
2.
Moles, Chad M., et al.. (2024). Leveraging Synthetic Virology for the Rapid Engineering of Vesicular Stomatitis Virus (VSV). Viruses. 16(10). 1641–1641.
3.
4.
Short, Walker D., Emily Steen, Aditya Kaul, et al.. (2022). IL‐10 promotes endothelial progenitor cell infiltration and wound healing via STAT3. The FASEB Journal. 36(7). e22298–e22298. 54 indexed citations
5.
Steen, Emily, Chad M. Moles, Allan M. Goldstein, et al.. (2019). The Pediatric Surgeon–Scientist: Succeeding in Today's Academic Environment. Journal of Surgical Research. 244. 502–508. 9 indexed citations
6.
Balaji, Swathi, Xinyi Wang, Alice King, et al.. (2016). Interleukin‐10–mediated regenerative postnatal tissue repair is dependent on regulation of hyaluronan metabolism via fibroblast‐specific STAT3 signaling. The FASEB Journal. 31(3). 868–881. 54 indexed citations
7.
Cho, Hongkwan, Swathi Balaji, Chad M. Moles, et al.. (2016). Diabetic wound healing in a MMP9‐/‐ mouse model. Wound Repair and Regeneration. 24(5). 829–840. 23 indexed citations
8.
Keswani, Sundeep G., Chad M. Moles, Michael J. Morowitz, et al.. (2016). The Future of Basic Science in Academic Surgery. Annals of Surgery. 265(6). 1053–1059. 111 indexed citations
9.
Balaji, Swathi, Chad M. Moles, Aimen F. Shaaban, et al.. (2015). Angiopoietin-1 improves endothelial progenitor cell–dependent neovascularization in diabetic wounds. Surgery. 158(3). 846–856. 48 indexed citations
10.
Balaji, Swathi, Sukanta S. Bhattacharya, Chad M. Moles, et al.. (2014). Adenoviral-mediated gene transfer of insulin-like growth factor 1 enhances wound healing and induces angiogenesis. Journal of Surgical Research. 190(1). 367–377. 47 indexed citations
11.
Balaji, Swathi, Chad M. Moles, Sukanta S. Bhattacharya, et al.. (2014). Comparison of interleukin 10 homologs on dermal wound healing using a novel human skin ex vivo organ culture model. Journal of Surgical Research. 190(1). 358–366. 24 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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