Ryan T. Novak

2.5k total citations
26 papers, 905 citations indexed

About

Ryan T. Novak is a scholar working on Epidemiology, Microbiology and Hepatology. According to data from OpenAlex, Ryan T. Novak has authored 26 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 16 papers in Microbiology and 3 papers in Hepatology. Recurrent topics in Ryan T. Novak's work include Bacterial Infections and Vaccines (16 papers), Pneumonia and Respiratory Infections (12 papers) and Respiratory viral infections research (4 papers). Ryan T. Novak is often cited by papers focused on Bacterial Infections and Vaccines (16 papers), Pneumonia and Respiratory Infections (12 papers) and Respiratory viral infections research (4 papers). Ryan T. Novak collaborates with scholars based in United States, Burkina Faso and Australia. Ryan T. Novak's co-authors include Jay E. Gee, Patricia P. Wilkins, Bart J. Currie, Mindy B. Glass, Mark Mayo, Daniel Gal, Fabien Diomandé, Mamoudou Harouna Djingarey, Barun K. De and Tanja Popović and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Ryan T. Novak

24 papers receiving 869 citations

Peers

Ryan T. Novak
Comparison fields: 5 of 80
  • Epidemiology 617
  • Microbiology 311
  • Small Animals 119
  • Infectious Diseases 110
  • Molecular Biology 101
Replace Gary Lum with:
Gary Lum Australia
Chi-Jung Wu Taiwan
Fariba Keramat Iran
Ursula Panzner South Korea
Yvonne Galloway New Zealand
Massoud Hajia Iran
Zhujun Shao China
Bernard J. Wolff United States
Patrick Soentjens Belgium
Carl Kraus United States
Gary Lum Australia View profile →
Citations per field, relative to Ryan T. Novak
Ryan T. Novak · 1×
Citations per year, relative to Ryan T. Novak
Ryan T. Novak · 1×

Countries citing papers authored by Ryan T. Novak

Since Specialization
Citations

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

Fields of papers citing papers by Ryan T. Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan T. Novak

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Novak. A scholar is included among the top collaborators of Ryan T. Novak 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 Ryan T. Novak. Ryan T. Novak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 12
3 8
4 8
5 17
6 34
7 41
8 12
9 24
10 27
11 60
12 42
13 111
14 37
15 23
16 60
17 9
18 56
19 18
20 91

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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