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, Fang Qian, John Eldredge, Dingyi Wen, Amy Fung, Alexey A. Lugovskoy, Brian C. Cunningham, Jessica E. Friedman 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

Peers

Eric S. Day
Comparison fields: 5 of 107
  • Molecular Biology 766
  • Immunology 395
  • Radiology, Nuclear Medicine and Imaging 211
  • Oncology 202
  • Cancer Research 144
Replace Charles E. Whitehurst with:
Charles E. Whitehurst United States
Marco Ponassi Italy
Annick Verhee Belgium
Yumiko Wada Japan
Wang‐Qing Liu France
Cinzia Bizzarri Italy
Gianni Gromo Italy
Finn C. Wiberg Denmark
Zhihong Wang China
Vivek J. Kadambi United States
Charles E. Whitehurst United States View profile →
Citations per field, relative to Eric S. Day
Eric S. Day · 1×
Citations per year, relative to Eric S. Day
Eric S. Day · 1×

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
# Work Indexed citations
1 11
2 15
3 30
4 11
5 4
6 30
7 19
8 71
9 15
10 5
11 37
12 38
13 46
14 11
15 15
16 50
17 79
18 23
19 90
20 9

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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