E. D. Johnson

1.8k citations
17 papers · 1.4k · h-index 14

Impact in

Papers in

E. D. Johnson

17 papers receiving 1.3k citations

Peers

E. D. Johnson
Comparison fields: 5 of 66
  • Infectious Diseases 1.1k
  • Emergency Medical Services 250
  • Modeling and Simulation 108
  • Virology 54
  • Epidemiology 333
Replace Werner Slenczka with:
Werner Slenczka Germany
Diane L. Negley United States
J Lansoud-Soukate Gabon
Shelley Campbell United States
CJ Peters United States
E. T. W. Bowen United States
Allison Groseth Germany
Toni Rieger Germany
G.S. Platt United States
Joseph Prescott United States
E. D. Johnson relative to Werner Slenczka Germany Werner Slenczka's profile →
Citations per field
00.5×1.5×1.8×
Werner Slenczka · 1×
Citations per year

Countries citing papers authored by E. D. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by E. D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. D. Johnson. 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 E. D. Johnson. The network helps show where E. D. Johnson may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1990273
2
Lethal experimental infections of rhesus monkeys by aerosolized Ebola virus.
1995213
3 1982184
4 1996133
5 1995127
6 1992101
7 198991
8 199346
9 197545
10 199336
11
[Current serologic data on viral hemorrhagic fevers in the Central African Republic].
198726
12 197826
13 200324
14
Filovirus contamination of cell cultures.
199215
15
Immune responses to LCM virus infection in vivo and in vitro. Mechanisms of immune-mediated disease.
19755
16 19874
17 20031

About E. D. Johnson

E. D. Johnson is a scholar working on Infectious Diseases, Emergency Medical Services, Epidemiology, Molecular Biology and Immunology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (13 papers), Disaster Response and Management (6 papers), Viral Infections and Vectors (5 papers), Hepatitis B Virus Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), COVID-19 epidemiological studies (2 papers), Antioxidant Activity and Oxidative Stress (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Emergency Medical Services (250 citations), Modeling and Simulation (108 citations), Virology (54 citations) and Epidemiology (333 citations). E. D. Johnson has collaborated with scholars based in United States, France and Central African Republic. Frequent co-authors include Peter B. Jahrling, C. J. Peters, Thomas W. Geisbert, G A Cole, Dan W. Dalgard, P. B. Jahrling, John R. White, Joel M. Dalrymple, Wendy Hall and Jean‐Paul Gonzalez. Their work appears in journals such as The Lancet, Transactions of the Royal Society of Tropical Medicine and Hygiene, The Journal of Experimental Medicine, Journal of Clinical Microbiology and Hepatology.

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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