T. Nolan

18 papers receiving 348 citations

Peers

T. Nolan
Comparison fields: 5 of 78
  • Modeling and Simulation 36
  • Emergency Medicine 63
  • Microbiology 33
  • Safety, Risk, Reliability and Quality 45
  • Epidemiology 162
Replace Ruta Sharangpani with:
Ruta Sharangpani United States
Gregg C. Sylvester United States
Thomas Waterfield United Kingdom
Necdet Kuyucu Türkiye
Linny Kimly Phuong Australia
Koen Vanden Driessche Belgium
Joyce K. Lammert United States
Naoki Yanagisawa Japan
Mohammad Naeem Pakistan
Elizabeth W. Smoot United States
T. Nolan relative to Ruta Sharangpani United States Ruta Sharangpani's profile →
Citations per field
00.5×5.5×
Ruta Sharangpani · 1×
Citations per year

Countries citing papers authored by T. Nolan

Since Specialization
Citations

This map shows the geographic impact of T. Nolan'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 T. Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nolan more than expected).

Fields of papers citing papers by T. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Nolan. 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 T. Nolan. The network helps show where T. Nolan may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199871
2 201060
3 199242
4 198029
5 198927
6 199520
7 200117
8 202117
9 200616
10 199516
11 200914
12 199514
13 199511
14 19978
15 19938
16 19825
17
Long-Term Sequelae of Bacterial-Meningitis in Childhood
19922
18 20251
19
Management of streptococcal pharyngitis by North Carolina physicians.
19760

About T. Nolan

T. Nolan is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Microbiology and Emergency Medicine, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Bacterial Infections and Vaccines (4 papers), Injury Epidemiology and Prevention (3 papers), Respiratory viral infections research (3 papers), Trauma and Emergency Care Studies (2 papers), Infant Health and Development (2 papers), Streptococcal Infections and Treatments (2 papers) and Child Nutrition and Feeding Issues (1 paper). The work is most often cited by research in Modeling and Simulation (36 citations), Emergency Medicine (63 citations), Microbiology (33 citations), Safety, Risk, Reliability and Quality (45 citations) and Epidemiology (162 citations). T. Nolan has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include Melissa A. Penny, Elizabeth Elliott, Katrina Williams, Roger C. Allen, Jenny Royle, David Isaacs, Gary F. Sholler, John B. Carlin, Priscilla Robinson and A. R. Hinman. Their work appears in journals such as Injury Prevention, Journal of Cellular Biochemistry, Vaccine, American Journal of Roentgenology and Eurosurveillance.

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.

Explore authors with similar magnitude of impact