Eric S. Day

1.9k total citations
25 papers, 1.4k citations indexed

About

Eric S. Day is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eric S. Day has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Immunology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eric S. Day's work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (6 papers) and Protein purification and stability (4 papers). Eric S. Day is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (6 papers) and Protein purification and stability (4 papers). Eric S. Day collaborates with scholars based in United States, Switzerland and France. Eric S. Day's co-authors include Adrian Whitty, Teresa G. Cachero, John Eldredge, Fang Qian, Dingyi Wen, Alexey A. Lugovskoy, Jessica E. Friedman, Amy Fung, Brian C. Cunningham and Stephan Miller and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Eric S. Day

25 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eric S. Day 766 395 211 202 144 25 1.4k
Charles E. Whitehurst 956 1.2× 735 1.9× 89 0.4× 396 2.0× 220 1.5× 38 1.7k
Marco Ponassi 765 1.0× 211 0.5× 112 0.5× 167 0.8× 167 1.2× 60 1.5k
Annick Verhee 651 0.8× 567 1.4× 187 0.9× 446 2.2× 86 0.6× 41 1.7k
Yumiko Wada 695 0.9× 223 0.6× 60 0.3× 220 1.1× 119 0.8× 59 1.3k
Gianni Gromo 802 1.0× 437 1.1× 103 0.5× 147 0.7× 41 0.3× 42 1.5k
Cinzia Bizzarri 673 0.9× 615 1.6× 75 0.4× 448 2.2× 84 0.6× 34 1.5k
Wang‐Qing Liu 805 1.1× 124 0.3× 116 0.5× 283 1.4× 95 0.7× 54 1.2k
Finn C. Wiberg 1.3k 1.7× 201 0.5× 174 0.8× 448 2.2× 146 1.0× 32 2.1k
Elizabeth A. Mendiaz 687 0.9× 500 1.3× 89 0.4× 234 1.2× 34 0.2× 18 1.5k
Zhihong Wang 1.2k 1.5× 98 0.2× 82 0.4× 237 1.2× 334 2.3× 81 1.6k

Countries citing papers authored by Eric S. Day

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Day. 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 Eric S. Day. The network helps show where Eric S. Day may publish in the future.

Co-authorship network of co-authors of Eric S. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Eric S. Day. A scholar is included among the top collaborators of Eric S. Day 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 Eric S. Day. Eric S. Day 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.
Romei, Matthew G., Brandon Leonard, Zachary Katz, et al.. (2024). i-shaped antibody engineering enables conformational tuning of biotherapeutic receptor agonists. Nature Communications. 15(1). 642–642. 11 indexed citations
2.
Bou-Assaf, George M., Michael Brenowitz, Eric S. Day, et al.. (2022). Best Practices for Aggregate Quantitation of Antibody Therapeutics by Sedimentation Velocity Analytical Ultracentrifugation. Journal of Pharmaceutical Sciences. 111(7). 2121–2133. 15 indexed citations
3.
Ferri, Elena, Adrien Le Thomas, Heidi Ackerly Wallweber, et al.. (2020). Activation of the IRE1 RNase through remodeling of the kinase front pocket by ATP-competitive ligands. Nature Communications. 11(1). 6387–6387. 30 indexed citations
4.
Chang, Debby P., Eric S. Day, Joyce Chan, et al.. (2020). Long-Term Stability of Anti-Vascular Endothelial Growth Factor (a-VEGF) Biologics Under Physiologically Relevant Conditions and Its Impact on the Development of Long-Acting Delivery Systems. Journal of Pharmaceutical Sciences. 110(2). 860–870. 11 indexed citations
5.
Dasgupta, Anindya, et al.. (2019). Phase I/II Manufacture of Lentiviral Vectors Under GMP in an Academic Setting. Methods in molecular biology. 2086. 27–60. 4 indexed citations
6.
Wu, Ping, Christopher J. Sneeringer, Keith Pitts, et al.. (2018). Hematopoietic Progenitor Kinase-1 Structure in a Domain-Swapped Dimer. Structure. 27(1). 125–133.e4. 30 indexed citations
7.
Day, Eric S., et al.. (2016). Processing Impact on Monoclonal Antibody Drug Products: Protein Subvisible Particulate Formation Induced by Grinding Stress. PDA Journal of Pharmaceutical Science and Technology. 71(3). 172–188. 19 indexed citations
8.
Yang, Jihong, Xiangdan Wang, Germaine Fuh, et al.. (2014). Comparison of Binding Characteristics and In Vitro Activities of Three Inhibitors of Vascular Endothelial Growth Factor A. Molecular Pharmaceutics. 11(10). 3421–3430. 71 indexed citations
9.
Day, Eric S., Allan D. Capili, Christopher W. Borysenko, Mohammad Zafari, & Adrian Whitty. (2013). Determining the affinity and stoichiometry of interactions between unmodified proteins in solution using Biacore. Analytical Biochemistry. 440(1). 96–107. 15 indexed citations
10.
Pellegrini, Maria, Laure Willen, Mai Perroud, et al.. (2013). Structure of the extracellular domains of human and Xenopus Fn14: implications in the evolution of TWEAK and Fn14 interactions. FEBS Journal. 280(8). 1818–1829. 5 indexed citations
11.
Day, Eric S., Shaun Cote, & Adrian Whitty. (2012). Binding Efficiency of Protein–Protein Complexes. Biochemistry. 51(45). 9124–9136. 37 indexed citations
12.
Michaelson, Jennifer S., Aldo Amatucci, Rebecca K. Kelly, et al.. (2011). Development of an Fn14 agonistic antibody as an anti-tumor agent. mAbs. 3(4). 362–375. 38 indexed citations
13.
Boriack‐Sjodin, P. Ann, Eric S. Day, John Eldredge, et al.. (2008). An antibody loop replacement design feasibility study and a loop-swapped dimer structure. Protein Engineering Design and Selection. 22(2). 93–101. 11 indexed citations
14.
Eldredge, John, Steven A. Berkowitz, Eric S. Day, et al.. (2006). Stoichiometry of LTβR Binding to LIGHT. Biochemistry. 45(33). 10117–10128. 15 indexed citations
15.
He, Molly M., Annemarie Stroustrup, Johan D. Oslob, et al.. (2005). Small-Molecule Inhibition of TNF-α. Science. 310(5750). 1022–1025. 457 indexed citations
16.
Carmillo, Paul, Eric S. Day, Dane Worley, et al.. (2005). Glial Cell Line-Derived Neurotrophic Factor (GDNF) Receptor α-1 (GFRα1) Is Highly Selective for GDNF versus Artemin. Biochemistry. 44(7). 2545–2554. 35 indexed citations
17.
Pelletier, Marc R., Jeffrey S. Thompson, Fang Qian, et al.. (2003). Comparison of Soluble Decoy IgG Fusion Proteins of BAFF-R and BCMA as Antagonists for BAFF. Journal of Biological Chemistry. 278(35). 33127–33133. 79 indexed citations
18.
19.
Pepinsky, R. Blake, Paul Rayhorn, Eric S. Day, et al.. (2000). Mapping Sonic Hedgehog-Receptor Interactions by Steric Interference. Journal of Biological Chemistry. 275(15). 10995–11001. 90 indexed citations
20.
Schiffer, Susan G., et al.. (1995). An Alternately Spliced mRNA Encoding Functional Domains of Murine MAdCAM-1. Biochemical and Biophysical Research Communications. 216(1). 170–176. 9 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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