Daniel Skomski

774 total citations
30 papers, 636 citations indexed

About

Daniel Skomski is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Daniel Skomski has authored 30 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 9 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Daniel Skomski's work include Surface Chemistry and Catalysis (11 papers), Molecular Junctions and Nanostructures (9 papers) and Protein purification and stability (7 papers). Daniel Skomski is often cited by papers focused on Surface Chemistry and Catalysis (11 papers), Molecular Junctions and Nanostructures (9 papers) and Protein purification and stability (7 papers). Daniel Skomski collaborates with scholars based in United States, Canada and Germany. Daniel Skomski's co-authors include Steven L. Tait, Sabine Abb, Yongchao Su, Wei Xu, Xingyu Lu, Seth Forster, Ryan S. Teller, Xiangyu Ma, Mike Marsh and Stephanie E. Barrett and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Analytical Chemistry.

In The Last Decade

Daniel Skomski

29 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Skomski United States 13 231 223 140 88 84 30 636
Yibo Huang China 15 94 0.4× 67 0.3× 163 1.2× 258 2.9× 168 2.0× 40 856
Hongbo Zhu United States 19 216 0.9× 613 2.7× 374 2.7× 124 1.4× 175 2.1× 46 1.3k
Al’ona Furmanchuk United States 15 344 1.5× 94 0.4× 98 0.7× 141 1.6× 22 0.3× 29 674
Б. Н. Зайцев Russia 16 168 0.7× 74 0.3× 54 0.4× 43 0.5× 58 0.7× 51 934
James C. Reid Australia 15 296 1.3× 186 0.8× 109 0.8× 148 1.7× 59 0.7× 29 931
James Carriere United States 13 169 0.7× 119 0.5× 150 1.1× 91 1.0× 127 1.5× 39 558
Xiangmin Liao United States 14 137 0.6× 63 0.3× 53 0.4× 37 0.4× 34 0.4× 21 450
Jones de Andrade Brazil 7 98 0.4× 95 0.4× 72 0.5× 37 0.4× 41 0.5× 13 517
Abhishek Singh Belgium 14 269 1.2× 103 0.5× 130 0.9× 43 0.5× 142 1.7× 32 1.1k
Wan Zheng China 20 261 1.1× 133 0.6× 118 0.8× 46 0.5× 42 0.5× 78 1.1k

Countries citing papers authored by Daniel Skomski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Skomski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Skomski. 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 Daniel Skomski. The network helps show where Daniel Skomski may publish in the future.

Co-authorship network of co-authors of Daniel Skomski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Skomski. A scholar is included among the top collaborators of Daniel Skomski 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 Daniel Skomski. Daniel Skomski 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.
Ferrari, Federico, Michael O. Dillon, Andy Liaw, et al.. (2025). Bayesian hierarchical model predicts biopharmaceutical stability indicators and shelf life with application to multivalent human papillomavirus vaccine. Scientific Reports. 15(1). 17333–17333.
2.
Zhu, Xiaolong, Daniel Skomski, Yongchao Su, et al.. (2024). Insights into Factors Affecting Ethylene-Vinyl Acetate Copolymer Crystallinity in Islatravir Implant. Molecular Pharmaceutics. 21(4). 1933–1941. 4 indexed citations
3.
Dillon, Michael O., Jun Xu, Geetha Thiagarajan, Daniel Skomski, & Adam Procopio. (2024). Predicting the Long-Term Stability of Biologics with Short-Term Data. Molecular Pharmaceutics. 21(9). 4673–4687. 2 indexed citations
4.
Skomski, Daniel, et al.. (2023). Building confidence in deep Learning-based image analytics for characterization of pharmaceutical samples. Chemical Engineering Science. 278. 118904–118904. 5 indexed citations
5.
Zhao, Xi, et al.. (2023). Deep learning image analysis models pretrained on daily objects are useful for the preliminary characterization of particulate pharmaceutical samples. Biotechnology and Bioengineering. 120(8). 2175–2185. 4 indexed citations
6.
Wang, Shubing, Andy Liaw, Yueming Chen, Yongchao Su, & Daniel Skomski. (2022). Convolutional Neural Networks Enable Highly Accurate and Automated Subvisible Particulate Classification of Biopharmaceuticals. Pharmaceutical Research. 40(6). 1447–1457. 10 indexed citations
7.
Wang, Shubing, et al.. (2022). Evaluation of a Self-Supervised Machine Learning Method for Screening of Particulate Samples: A Case Study in Liquid Formulations. Journal of Pharmaceutical Sciences. 112(3). 771–778. 11 indexed citations
8.
9.
Skomski, Daniel, Zhen Liu, Yongchao Su, et al.. (2020). An Imaging Toolkit for Physical Characterization of Long-Acting Pharmaceutical Implants. Journal of Pharmaceutical Sciences. 109(9). 2798–2811. 10 indexed citations
10.
Ma, Xiangyu, Hanmi Xi, Antong Chen, et al.. (2020). Application of Deep Learning Convolutional Neural Networks for Internal Tablet Defect Detection: High Accuracy, Throughput, and Adaptability. Journal of Pharmaceutical Sciences. 109(4). 1547–1557. 68 indexed citations
11.
Skomski, Daniel, Richard J. Varsolona, Yongchao Su, et al.. (2020). Islatravir Case Study for Enhanced Screening of Thermodynamically Stable Crystalline Anhydrate Phases in Pharmaceutical Process Development by Hot Melt Extrusion. Molecular Pharmaceutics. 17(8). 2874–2881. 11 indexed citations
12.
Xia, Binfeng, et al.. (2020). Effect of TPGS surfactant on dissolution sensitivity of a poorly water-soluble drug using high-shear wet granulation. Powder Technology. 375. 302–309. 9 indexed citations
13.
Lu, Xingyu, Chengbin Huang, Mingyue Li, et al.. (2020). Molecular Mechanism of Crystalline-to-Amorphous Conversion of Pharmaceutical Solids from 19F Magic Angle Spinning NMR. The Journal of Physical Chemistry B. 124(25). 5271–5283. 31 indexed citations
14.
Duan, Pu, Matthew S. Lamm, Fengyuan Yang, et al.. (2020). Quantifying Molecular Mixing and Heterogeneity in Pharmaceutical Dispersions at Sub-100 nm Resolution by Spin Diffusion NMR. Molecular Pharmaceutics. 17(9). 3567–3580. 32 indexed citations
15.
Lu, Xingyu, Daniel Skomski, Karen Thompson, et al.. (2019). Three-Dimensional NMR Spectroscopy of Fluorinated Pharmaceutical Solids under Ultrafast Magic Angle Spinning. Analytical Chemistry. 91(9). 6217–6224. 35 indexed citations
16.
Barrett, Stephanie E., Ryan S. Teller, Seth Forster, et al.. (2018). Extended-Duration MK-8591-Eluting Implant as a Candidate for HIV Treatment and Prevention. Antimicrobial Agents and Chemotherapy. 62(10). 99 indexed citations
17.
Skomski, Daniel, et al.. (2016). Lifting of the Au(100) surface reconstruction by Pt, Cr, Fe, and Cu adsorption. Surface Science. 654. 33–38. 9 indexed citations
18.
Skomski, Daniel, et al.. (2015). Redox-active on-surface polymerization of single-site divalent cations from pure metals by a ketone-functionalized phenanthroline. The Journal of Chemical Physics. 142(10). 101913–101913. 26 indexed citations
19.
Skomski, Daniel, et al.. (2014). Redox-Active On-Surface Assembly of Metal–Organic Chains with Single-Site Pt(II). Journal of the American Chemical Society. 136(28). 9862–9865. 62 indexed citations
20.
Skomski, Daniel & Steven L. Tait. (2013). Ordered and Robust Ionic Surface Networks from Weakly Interacting Carboxyl Building Blocks. The Journal of Physical Chemistry C. 117(6). 2959–2965. 19 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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