P.-J. Lu

486 citations
6 papers · 338 · h-index 6

Impact in

Papers in

    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 3
    • Pneumonia and Respiratory Infections 1
    • Infective Endocarditis Diagnosis and Management 1
    • Smoking Behavior and Cessation 1

P.-J. Lu

6 papers receiving 329 citations

Peers

P.-J. Lu
Comparison fields: 5 of 33
  • Health 88
  • Modeling and Simulation 35
  • Epidemiology 226
  • Microbiology 43
  • Infectious Diseases 29
Replace Reggis Katsande with:
Reggis Katsande Republic of the Congo
D Nshimirimana Republic of the Congo
Lindsay Friedman Canada
Khami Chokani Canada
Alessandro Miglietta Italy
Maarten van Wijhe Denmark
Mark Vooght Canada
Jillian Johnston United Kingdom
Kimberly Ralston United States
Natalie C Galles United States
P.-J. Lu relative to Reggis Katsande Republic of the Congo Reggis Katsande's profile →
Citations per field
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Reggis Katsande · 1×
Citations per year

Countries citing papers authored by P.-J. Lu

Since Specialization
Citations

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

Fields of papers citing papers by P.-J. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.-J. Lu. 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.-J. Lu. The network helps show where P.-J. Lu may publish in the future.

Co-authors

The 21 scholars most cited alongside P.-J. Lu, 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.-J. Lu Line = papers co-authored together P.-J. Lu links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Interim results: influenza A (H1N1) 2009 monovalent vaccination coverage - United States, October-December 2009.
201087
2
State-specific influenza A (H1N1) 2009 monovalent vaccination coverage - United States, October 2009-January 2010.
201068
3
Influenza vaccination coverage among children and adults - United States, 2008-09 influenza season.
200959
4 201359
5
Tetanus and pertussis vaccination coverage among adults aged ≥18 years - United States, 1999 and 2008.
201034
6 201231

About P.-J. Lu

P.-J. Lu is a scholar working on Epidemiology, Physiology, Microbiology, Endocrinology and Infectious Diseases, having authored 6 papers that have together received 338 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (3 papers), Bacterial Infections and Vaccines (1 paper), Smoking Behavior and Cessation (1 paper), Pneumonia and Respiratory Infections (1 paper), Diphtheria, Corynebacterium, and Tetanus (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Health (88 citations), Modeling and Simulation (35 citations), Epidemiology (226 citations), Microbiology (43 citations) and Infectious Diseases (29 citations). P.-J. Lu has collaborated with scholars based in United States. Frequent co-authors include Gary L. Euler, Machell Town, Lina S. Balluz, James A. Singleton, J. Pekka Nuorti, Helen Ding, Carolyn B. Bridges, Walter W. Williams, Beth P. Bell and Gregory L. Armstrong. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report and American Journal of Epidemiology.

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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