P. A. Webb

5.7k citations
55 papers · 3.8k indexed · 2 hit papers · h-index 31

P. A. Webb

55 papers receiving 3.5k citations

Hit Papers

A Prospective Study of the Epidemiology and Ecology of La...4171986202619992012200400600

Peers

P. A. Webb
Comparison fields: 5 of 104
  • Infectious Diseases 3.3k
  • Emergency Medical Services 782
  • Epidemiology 1.0k
  • Modeling and Simulation 132
  • Public Health, Environmental and Occupational Health 672
Replace K. M. Johnson with:
K. M. Johnson United States
G. Lloyd United Kingdom
Anthony Sanchez United States
Alan Schmaljohn United States
Allen Grolla Canada
E. T. W. Bowen United Kingdom
C. J. Peters United States
Hideki Ebihara United States
Philippe Yaba Gabon
Netesov Sv Russia
P. A. Webb relative to K. M. Johnson United States K. M. Johnson's profile →
Citations per field
00.5×3.7×
K. M. Johnson · 1×
Citations per year

Countries citing papers authored by P. A. Webb

Since Specialization
Citations

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

Fields of papers citing papers by P. A. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. A. Webb. 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 P. A. Webb. The network helps show where P. A. Webb may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20029
2 199969
3 19987
4 19985
5 19924
6 198936
7 19877
8 198675
9
Lassa Feverbreakdown →
1986689
10 198516
11 1982119
12 1980155
13 1980164
14
Growth of Lassa and Ebola viruses in different cell lines
197810
15 197850
16 197336
17 196935
18 196726
19 196657
20 195313

About P. A. Webb

P. A. Webb is a scholar working on Infectious Diseases, Emergency Medical Services, Microbiology, Virology and Agronomy and Crop Science, having authored 55 papers that have together received 3.8k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (30 papers), Viral Infections and Vectors (23 papers), Disaster Response and Management (11 papers), Mosquito-borne diseases and control (8 papers), Hepatitis B Virus Studies (7 papers), Virus-based gene therapy research (6 papers), Animal Disease Management and Epidemiology (6 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Infectious Diseases (3.3k citations), Emergency Medical Services (782 citations), Epidemiology (1.0k citations), Modeling and Simulation (132 citations) and Public Health, Environmental and Occupational Health (672 citations). P. A. Webb has collaborated with scholars based in United States, Belgium and Mexico. Frequent co-authors include Joseph B. McCormick, Karl M. Johnson, K. M. Johnson, Larry Elliott, Frederick A. Murphy, Curtis L. Scribner, Robert B. Craven, J W Krebs, R. B. Mackenzie and M. L. Kuns. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, Experimental Biology and Medicine, Journal of Virology and New England Journal of 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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