P.A. Litton

619 citations
7 papers · 305 · h-index 7

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
  • Epidemiology top 10%
    • Virology and Viral Diseases
    • Respiratory viral infections research
    • Influenza Virus Research Studies

Papers in

    • Virology and Viral Diseases 4
    • Influenza Virus Research Studies 2
    • Hepatitis B Virus Studies 1
    • Respiratory viral infections research 1
    • Vaccine Coverage and Hesitancy 3

P.A. Litton

7 papers receiving 277 citations

Peers

P.A. Litton
Comparison fields: 5 of 46
  • Health 88
  • Epidemiology 254
  • Modeling and Simulation 23
  • Virology 17
  • Infectious Diseases 58
Replace Xinghuo Pang with:
Xinghuo Pang China
Elizabeth Rausch-Phung United States
Cynthia Schulte United States
Annick Dosseh Senegal
Sergei Deshevoi Denmark
José Luis Díaz‐Ortega Mexico
Sheilagh Smit South Africa
Patricia High United States
Jacqueline Lawler United States
Sun B. Sowers United States
P.A. Litton relative to Xinghuo Pang China Xinghuo Pang's profile →
Citations per field
00.5×1.5×
Xinghuo Pang · 1×
Citations per year

Countries citing papers authored by P.A. Litton

Since Specialization
Citations

This map shows the geographic impact of P.A. Litton'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. Litton 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. Litton more than expected).

Fields of papers citing papers by P.A. Litton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside P.A. Litton, 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. Litton Line = papers co-authored together P.A. Litton links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 200271
2 200364
3 200059
4 199550
5 200441
6 199214
7 19846

About P.A. Litton

P.A. Litton is a scholar working on Epidemiology, Health, Immunology, Infectious Diseases and Genetics, having authored 7 papers that have together received 305 indexed citations. Recurring topics across this work include Virology and Viral Diseases (4 papers), Vaccine Coverage and Hesitancy (3 papers), Influenza Virus Research Studies (2 papers), Diabetes and associated disorders (1 paper), Hepatitis B Virus Studies (1 paper), Immunotherapy and Immune Responses (1 paper), Viral Infections and Outbreaks Research (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Health (88 citations), Epidemiology (254 citations), Modeling and Simulation (23 citations), Virology (17 citations) and Infectious Diseases (58 citations). P.A. Litton has collaborated with scholars based in United Kingdom and Nepal. Frequent co-authors include David Brown, Joanne White, Li Jin, Mary Ramsay, P. Chakraverty, Douglas Fleming, Bernard Cohen, Nigel Gay, Louise Hesketh and Emma R. Miller. Their work appears in journals such as The Journal of Infectious Diseases, Age and Ageing, Epidemiology and Infection, Vaccine and BMJ.

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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