Devin Schoen

624 citations
17 papers · 319 · 1 hit paper · h-index 6

Impact in

Papers in

Devin Schoen

13 papers receiving 312 citations

Devin Schoen's Hit Papers

Vaccination before or after SARS-CoV-2 infection leads to robust humoral response and antibodies that effectively neutralize variants 2022 · 180 citations
1800+1+2Years since publication50100150

Peers

Devin Schoen
Comparison fields: 5 of 44
  • Infectious Diseases 259
  • Modeling and Simulation 30
  • Health 35
  • Animal Science and Zoology 26
  • Immunology 40
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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

17 of 17 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 →
2022180
2 202161
3 202322
4 202220
5 202211
6 20229
7
Computer simulation of streamer discharge processes in SF6 and SF6/N2 mixtures
20025
8 20012
9 19982
10 20022
11 20031
12 20051
13
Corona stabilisation in SF6/N2 mixtures under VFT stress
19991
14 20011
15
[Significance of ray scattering for space dose].
19571
16 20250
17 20020

About Devin Schoen

Devin Schoen is a scholar working on Electrical and Electronic Engineering, Infectious Diseases, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Modeling and Simulation, having authored 17 papers that have together received 319 indexed citations. Recurring topics across this work include Plasma Diagnostics and Applications (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), High voltage insulation and dielectric phenomena (5 papers), Electrostatic Discharge in Electronics (4 papers), Semiconductor materials and devices (3 papers), Plasma Applications and Diagnostics (3 papers), COVID-19 Clinical Research Studies (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (259 citations), Modeling and Simulation (30 citations), Health (35 citations), Animal Science and Zoology (26 citations) and Immunology (40 citations). Devin Schoen has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Timothy A. Bates, Savannah K. McBride, Fikadu Tafesse, Marcel E. Curlin, William B. Messer, Gaelen Guzman, David X. Lee, Zoë L. Lyski, Hans C. Leier and Joon‐Yong Lee. Their work appears in journals such as JAMA, JCI Insight, Cell Reports, Science Immunology 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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