Devin Schoen

612 citations
14 papers · 302 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Devin Schoen

10 papers receiving 295 citations

Hit Papers

Vaccination before or after SARS-CoV-2 infection leads to robust humoral response and antibodies that effectively neutralize variants 2022 · 173 citations
173202220262023202450100150

Peers

Devin Schoen
Comparison fields: 5 of 47
  • Infectious Diseases 269
  • Modeling and Simulation 40
  • Health 51
  • Animal Science and Zoology 31
  • Neurology 34
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Citations per field
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Citations per year

Countries citing papers authored by Devin Schoen

Since Specialization
Citations

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

Fields of papers citing papers by Devin Schoen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devin Schoen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devin Schoen Line = papers co-authored together Devin Schoen links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Vaccination before or after SARS-CoV-2 infection leads to robust humoral response and antibodies that effectively neutralize variants
Hit paper breakdown →
2022173
2 202161
3 202320
4 202219
5 202211
6 20227
7
Computer simulation of streamer discharge processes in SF6 and SF6/N2 mixtures
20025
8 20022
9 20031
10
Corona stabilisation in SF6/N2 mixtures under VFT stress
19991
11
[Significance of ray scattering for space dose].
19571
12 20051
13 20250
14 20020

About Devin Schoen

Devin Schoen is a scholar working on Modeling and Simulation, Infectious Diseases, Electrical and Electronic Engineering, Health and Radiation, having authored 14 papers that have together received 302 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Electrostatic Discharge in Electronics (4 papers), Plasma Diagnostics and Applications (4 papers), COVID-19 Clinical Research Studies (4 papers), High voltage insulation and dielectric phenomena (4 papers), Semiconductor materials and devices (3 papers), COVID-19 epidemiological studies (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Infectious Diseases (269 citations), Modeling and Simulation (40 citations), Health (51 citations), Animal Science and Zoology (31 citations) and Neurology (34 citations). Devin Schoen has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Fikadu Tafesse, Timothy A. Bates, Marcel E. Curlin, Savannah K. McBride, William B. Messer, Hans C. Leier, Zoë L. Lyski, David X. Lee, Gaelen Guzman and Joon‐Yong Lee. Their work appears in journals such as JAMA, Science Immunology, Nature Communications, Cell Reports and New Journal of Physics.

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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