Katie Namtu

753 total citations
10 papers, 133 citations indexed

About

Katie Namtu is a scholar working on Epidemiology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Katie Namtu has authored 10 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Pharmacology. Recurrent topics in Katie Namtu's work include Antibiotics Pharmacokinetics and Efficacy (3 papers), Antibiotic Use and Resistance (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Katie Namtu is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (3 papers), Antibiotic Use and Resistance (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Katie Namtu collaborates with scholars based in United States and United Kingdom. Katie Namtu's co-authors include David M. Berman, Allison F. Messina, Jason G. Newland, Debra L. Palazzi, Lisa Saiman, Adam L. Hersh, Holly Maples, David Y. Hyun, Tina Logsdon and Glenn Takata and has published in prestigious journals such as PEDIATRICS, The Pediatric Infectious Disease Journal and JAMA Pediatrics.

In The Last Decade

Katie Namtu

8 papers receiving 127 citations

Peers

Katie Namtu
Comparison fields: 5 of 45
  • Infectious Diseases 41
  • Epidemiology 40
  • Applied Microbiology and Biotechnology 38
  • Public Health, Environmental and Occupational Health 36
  • Pharmacology 31
Replace Emma Sharp with:
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Justin Siegfried United States
Camilla Rodrigues India
Sophie Mahy France
Piret Mitt Estonia
Mônica Lajana Oliveira de Almeida Portugal
Nikolas Rae United Kingdom
Olivia Sénard France
Matthew Laundy United Kingdom
Eva Lemmenmeier Switzerland
Emma Sharp United Kingdom View profile →
Citations per field, relative to Katie Namtu
Katie Namtu · 1×
Citations per year, relative to Katie Namtu
Katie Namtu · 1×

Countries citing papers authored by Katie Namtu

Since Specialization
Citations

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

Fields of papers citing papers by Katie Namtu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie Namtu

This figure shows the co-authorship network connecting the top 25 collaborators of Katie Namtu. A scholar is included among the top collaborators of Katie Namtu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katie Namtu. Katie Namtu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 4
3 4
4 0
5 1
6 8
7 56
8 1
9 36
10 23

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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