Eric S. Day
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Molecular Biology top 10%
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
Papers in
-
- Protein purification and stability 4
- Hedgehog Signaling Pathway Studies 3
- Melanoma and MAPK Pathways 2
- Immunology 13
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 3
- Co-authors
- Adrian Whitty (11 shared papers)Teresa G. Cachero (5 shared papers)John Eldredge (4 shared papers)Fang Qian (4 shared papers)Dingyi Wen (3 shared papers)Brian C. Cunningham (2 shared papers)Amy Fung (2 shared papers)Jessica E. Friedman (2 shared papers)
- Journals
- Biochemistry (7 papers)Journal of Pharmaceutical Sciences (2 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)PDA Journal of Pharmaceutical Science and Technology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Eric S. Day
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Immunology 395
- Molecular Biology 766
- Cancer Research 144
- Radiology, Nuclear Medicine and Imaging 211
- Immunology and Allergy 51
Countries citing papers authored by Eric S. Day
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
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-authors
The 25 scholars most cited alongside Eric S. Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 457 | |
| 2 | 2005 | 137 | |
| 3 | 2001 | 136 | |
| 4 | 2000 | 90 | |
| 5 | 2003 | 79 | |
| 6 | 2014 | 71 | |
| 7 | 2006 | 50 | |
| 8 | 2011 | 46 | |
| 9 | 2011 | 38 | |
| 10 | 2012 | 37 | |
| 11 | 2005 | 35 | |
| 12 | 1999 | 33 | |
| 13 | 2020 | 30 | |
| 14 | 2018 | 30 | |
| 15 | 2002 | 23 | |
| 16 | 2016 | 19 | |
| 17 | 2013 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2006 | 15 | |
| 20 | 2024 | 11 |
About Eric S. Day
Eric S. Day is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), T-cell and B-cell Immunology (6 papers), Protein purification and stability (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Immune Cell Function and Interaction (3 papers), NF-κB Signaling Pathways (3 papers), Melanoma and MAPK Pathways (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (395 citations), Molecular Biology (766 citations), Cancer Research (144 citations), Radiology, Nuclear Medicine and Imaging (211 citations) and Immunology and Allergy (51 citations). Eric S. Day has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Adrian Whitty, Teresa G. Cachero, John Eldredge, Fang Qian, Dingyi Wen, Brian C. Cunningham, Amy Fung, Jessica E. Friedman, Alexey A. Lugovskoy and Stephan Miller. Their work appears in journals such as Biochemistry, Journal of Pharmaceutical Sciences, Nature Communications, Journal of Biological Chemistry and PDA Journal of Pharmaceutical Science and Technology.
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.