David N. Powers

702 total citations
19 papers, 519 citations indexed

About

David N. Powers is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, David N. Powers has authored 19 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biomedical Engineering. Recurrent topics in David N. Powers's work include Viral Infectious Diseases and Gene Expression in Insects (11 papers), Protein purification and stability (11 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). David N. Powers is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (11 papers), Protein purification and stability (11 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). David N. Powers collaborates with scholars based in United States and Japan. David N. Powers's co-authors include James A. Wohlschlegel, Ajay A. Vashisht, Dahui Sun, Charles Spruck, Armando Durazo, Anja Persson, Mathias Uhlén, Olle Sangfelt, Nimesh Bhaskaran and Xinhua Huang and has published in prestigious journals such as Science, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

David N. Powers

16 papers receiving 510 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 N. Powers United States 8 313 150 92 72 71 19 519
Cindy X. Cai United States 9 199 0.6× 142 0.9× 106 1.2× 60 0.8× 57 0.8× 16 366
Claudia Testi Italy 9 150 0.5× 95 0.6× 46 0.5× 15 0.2× 32 0.5× 15 317
Susan Benard United States 7 183 0.6× 74 0.5× 15 0.2× 31 0.4× 57 0.8× 11 370
Jill Horowitz United States 9 377 1.2× 61 0.4× 45 0.5× 19 0.3× 32 0.5× 9 527
Yvette Y. Yien United States 12 581 1.9× 57 0.4× 15 0.2× 4 0.1× 67 0.9× 18 691
Junji Nakao Japan 12 304 1.0× 61 0.4× 16 0.2× 25 0.3× 23 0.3× 24 504
Adrian Auf der Maur Switzerland 9 306 1.0× 23 0.2× 83 0.9× 185 2.6× 13 0.2× 10 436
Andrew P. Mone United States 9 324 1.0× 65 0.4× 10 0.1× 69 1.0× 158 2.2× 15 587
Wenke Weidemann Germany 12 455 1.5× 15 0.1× 19 0.2× 98 1.4× 38 0.5× 16 537
G.J. Albrecht Germany 11 164 0.5× 34 0.2× 22 0.2× 9 0.1× 27 0.4× 18 306

Countries citing papers authored by David N. Powers

Since Specialization
Citations

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

Fields of papers citing papers by David N. Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David N. Powers

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

All Works

19 of 19 papers shown
3.
Potter, Oscar G., et al.. (2023). Automated instant labeling chemistry workflow for real-time monitoring of monoclonal antibody N-glycosylation. Reaction Chemistry & Engineering. 8(10). 2423–2434. 1 indexed citations
4.
Powers, David N., et al.. (2020). Impacts on product quality attributes of monoclonal antibodies produced in CHO cell bioreactor cultures during intentional mycoplasma contamination events. Biotechnology and Bioengineering. 117(9). 2802–2815. 6 indexed citations
5.
Powers, David N., et al.. (2019). Purification and Analytics of a Monoclonal Antibody from Chinese Hamster Ovary Cells Using an Automated Microbioreactor System. Journal of Visualized Experiments. 1 indexed citations
6.
Powers, David N., et al.. (2019). Purification and Analytics of a Monoclonal Antibody from Chinese Hamster Ovary Cells Using an Automated Microbioreactor System. Journal of Visualized Experiments. 6 indexed citations
7.
Rogstad, Sarah, Haoheng Yan, Xiaoshi Wang, et al.. (2019). Multi-Attribute Method for Quality Control of Therapeutic Proteins. Analytical Chemistry. 91(22). 14170–14177. 84 indexed citations
8.
Vashisht, Ajay A., William D. Barshop, Shima Rayatpisheh, et al.. (2019). An Oxygen-Dependent Interaction between FBXL5 and the CIA-Targeting Complex Regulates Iron Homeostasis. Molecular Cell. 75(2). 382–393.e5. 26 indexed citations
9.
Powers, David N., et al.. (2019). Multivariate data analysis of growth medium trends affecting antibody glycosylation. Biotechnology Progress. 36(1). e2903–e2903. 17 indexed citations
10.
Powers, David N., et al.. (2019). Real‐time quantification and supplementation of bioreactor amino acids to prolong culture time and maintain antibody product quality. Biotechnology Progress. 35(6). e2894–e2894. 10 indexed citations
11.
Powers, David N., et al.. (2019). Impacts of intentional mycoplasma contamination on CHO cell bioreactor cultures. Biotechnology and Bioengineering. 116(12). 3242–3252. 5 indexed citations
12.
Powers, David N., et al.. (2018). Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells. Journal of Visualized Experiments. 7 indexed citations
13.
Powers, David N., et al.. (2018). Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells. Journal of Visualized Experiments. 5 indexed citations
14.
Zou, Guozhang, Martina Košíková, Su-Ryun Kim, et al.. (2018). Comprehensive analysis of N-glycans in IgG purified from ferrets with or without influenza A virus infection. Journal of Biological Chemistry. 293(50). 19277–19289. 10 indexed citations
15.
Heinzelman, Pete, David N. Powers, James A. Wohlschlegel, & Varghese John. (2018). Shotgun Proteomic Profiling of Bloodborne Nanoscale Extracellular Vesicles. Methods in molecular biology. 1897. 403–416. 7 indexed citations
17.
Jonas, Steven J., Adam Z. Stieg, Shuling Guo, et al.. (2015). Protein Adsorption Alters Hydrophobic Surfaces Used for Suspension Culture of Pluripotent Stem Cells. The Journal of Physical Chemistry Letters. 6(3). 388–393. 3 indexed citations
18.
Vashisht, Ajay A., Xinhua Huang, David N. Powers, et al.. (2009). Control of Iron Homeostasis by an Iron-Regulated Ubiquitin Ligase. Science. 326(5953). 718–721. 329 indexed citations
19.
Powers, David N., et al.. (1985). Functional Regulation: Looking Ahead. Loyola of Los Angeles law review. 18(4). 1075.

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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