Christopher Reed

660 citations
12 papers · 499 · h-index 10

Impact in

Papers in

Christopher Reed

12 papers receiving 482 citations

Peers

Christopher Reed
Comparison fields: 5 of 93
  • Infectious Diseases 318
  • Emergency Medical Services 28
  • Global and Planetary Change 81
  • Modeling and Simulation 16
  • Ecology, Evolution, Behavior and Systematics 65
Replace Dae-Won Kim with:
Dae-Won Kim South Korea
C. Joaquín Cáceres United States
Sarawut Khongwichit Thailand
Elizabeth Hunter Ireland
Nathalie Verdière France
Elizabeth A. Weaver United States
Chieko Matsumoto Japan
Kevin W. Bock United States
Deepanjan Bhattacharya India
Haoxiang Su China
Christopher Reed relative to Dae-Won Kim South Korea Dae-Won Kim's profile →
Citations per field
00.5×5.6×
Dae-Won Kim · 1×
Citations per year

Countries citing papers authored by Christopher Reed

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010118
2 201174
3
Solving Data Mining Problems Through Pattern Recognition
199762
4 201356
5 201550
6 200337
7 200834
8 201228
9 201117
10 201214
11 20077
12 20102

About Christopher Reed

Christopher Reed is a scholar working on Infectious Diseases, Plant Science, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Endocrinology, having authored 12 papers that have together received 499 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (5 papers), Viral Infections and Vectors (5 papers), Plant Virus Research Studies (3 papers), Plant and Fungal Interactions Research (2 papers), Fire effects on ecosystems (2 papers), Blood groups and transfusion (1 paper), Bacillus and Francisella bacterial research (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Infectious Diseases (318 citations), Emergency Medical Services (28 citations), Global and Planetary Change (81 citations), Modeling and Simulation (16 citations) and Ecology, Evolution, Behavior and Systematics (65 citations). Christopher Reed has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Lisa E. Hensley, Darci R. Smith, Joshua D. Shamblin, Benjamin Van Roy, Yu-Chun Lee, Keith E. Steele, Anna N. Honko, Joshua C. Johnson, Maureen Shawn Kennedy and Jennifer Chapman. Their work appears in journals such as Virology, Journal of Virology, The Journal of Infectious Diseases, Transfusion Medicine and PLoS neglected tropical diseases.

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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