Marlene M. Lugg
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
- Microbiology top 5%
- Bacterial Infections and Vaccines
Papers in
- Health 12
- Vaccine Coverage and Hesitancy 12
- Epidemiology 10
- Influenza Virus Research Studies 9
- Respiratory viral infections research 3
- Pneumonia and Respiratory Infections 3
- Co-authors
- Eric Weintraub (10 shared papers)Allison L. Naleway (9 shared papers)Simon J. Hambidge (6 shared papers)Frank DeStefano (8 shared papers)Jason M. Glanz (6 shared papers)Matthew F. Daley (6 shared papers)Mark S. Segal (1 shared paper)Charles P. Quesenberry (1 shared paper)
- Journals
- Vaccine (4 papers)JAMA Pediatrics (2 papers)PEDIATRICS (2 papers)JAMA (1 paper)American Journal of Epidemiology (1 paper)
- Partner nations
- United States
In The Last Decade
Marlene M. Lugg
15 papers receiving 748 citations
Peers
Comparison fields: 5 of 88
- Health 393
- Microbiology 160
- Health, Toxicology and Mutagenesis 160
- Epidemiology 356
- Infectious Diseases 131
Countries citing papers authored by Marlene M. Lugg
This map shows the geographic impact of Marlene M. Lugg'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 Marlene M. Lugg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlene M. Lugg more than expected).
Fields of papers citing papers by Marlene M. Lugg
This network shows the impact of papers produced by Marlene M. Lugg. 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 Marlene M. Lugg. The network helps show where Marlene M. Lugg may publish in the future.
Co-authors
The 25 scholars most cited alongside Marlene M. Lugg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 160 | |
| 2 | 2013 | 133 | |
| 3 | 2015 | 79 | |
| 4 | 2015 | 77 | |
| 5 | 2013 | 73 | |
| 6 | 1999 | 60 | |
| 7 | 1989 | 51 | |
| 8 | 2014 | 39 | |
| 9 | 2010 | 26 | |
| 10 | 2013 | 21 | |
| 11 | 2015 | 19 | |
| 12 | 2004 | 17 | |
| 13 | 2017 | 15 | |
| 14 | 2012 | 7 | |
| 15 | 2016 | 1 |
About Marlene M. Lugg
Marlene M. Lugg is a scholar working on Health, Epidemiology, Microbiology, Infectious Diseases and Endocrinology, having authored 15 papers that have together received 778 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (12 papers), Influenza Virus Research Studies (9 papers), Bacterial Infections and Vaccines (5 papers), Respiratory viral infections research (3 papers), Pneumonia and Respiratory Infections (3 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Aluminum toxicity and tolerance in plants and animals (1 paper). The work is most often cited by research in Health (393 citations), Microbiology (160 citations), Health, Toxicology and Mutagenesis (160 citations), Epidemiology (356 citations) and Infectious Diseases (131 citations). Marlene M. Lugg has collaborated with scholars based in United States. Frequent co-authors include Eric Weintraub, Allison L. Naleway, Simon J. Hambidge, Frank DeStefano, Jason M. Glanz, Matthew F. Daley, Mark S. Segal, Charles P. Quesenberry, Jennifer Mann and Jun Shan. Their work appears in journals such as Vaccine, JAMA Pediatrics, PEDIATRICS, JAMA 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.