Chad M. Cox

530 citations
14 papers · 410 · h-index 8

Impact in

  • Microbiology top 10%
    • Bacterial Infections and Vaccines
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections

Papers in

    • Neutrino Physics Research 5
    • Particle Detector Development and Performance 4
    • Dark Matter and Cosmic Phenomena 3
    • Radiation Detection and Scintillator Technologies 3

Chad M. Cox

14 papers receiving 382 citations

Peers

Chad M. Cox
Comparison fields: 5 of 63
  • Microbiology 57
  • Epidemiology 183
  • Agronomy and Crop Science 46
  • Modeling and Simulation 13
  • Infectious Diseases 50
Replace Joyce K. Lammert with:
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Chad M. Cox relative to Joyce K. Lammert United States Joyce K. Lammert's profile →
Citations per field
00.5×5×10×14×
Joyce K. Lammert · 1×
Citations per year

Countries citing papers authored by Chad M. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Chad M. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad M. Cox. 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 Chad M. Cox. The network helps show where Chad M. Cox may publish in the future.

Co-authors

The 25 scholars most cited alongside Chad M. Cox, 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 Chad M. Cox Line = papers co-authored together Chad M. Cox links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003125
2 2010105
3 201059
4 201134
5 201131
6 202415
7 201114
8 202410
9 20246
10 20245
11 20243
12 20241
13 20251
14 20251

About Chad M. Cox

Chad M. Cox is a scholar working on Nuclear and High Energy Physics, Radiation, Agronomy and Crop Science, Epidemiology and Infectious Diseases, having authored 14 papers that have together received 410 indexed citations. Recurring topics across this work include Neutrino Physics Research (5 papers), Particle Detector Development and Performance (4 papers), Influenza Virus Research Studies (4 papers), Atomic and Subatomic Physics Research (3 papers), Radiation Detection and Scintillator Technologies (3 papers), Dark Matter and Cosmic Phenomena (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Muon and positron interactions and applications (2 papers). The work is most often cited by research in Microbiology (57 citations), Epidemiology (183 citations), Agronomy and Crop Science (46 citations), Modeling and Simulation (13 citations) and Infectious Diseases (50 citations). Chad M. Cox has collaborated with scholars based in United States and Italy. Frequent co-authors include Lyn Finelli, Lenee Blanton, Rosaline Dhara, Lynnette Brammer, Joseph L. Lyon, Aaron Mark Wendelboe, Kurt T. Hegmann, Lisa H. Gren, Andrew T. Pavia and Rosemary C. She. Their work appears in journals such as Journal of Instrumentation, Clinical Infectious Diseases, Physical review. D, Emerging infectious diseases and American Journal of Preventive Medicine.

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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