Dena L. Schanzer

4.6k citations
37 papers · 1.2k indexed · h-index 19
Topics
Influenza Virus Research Studies (18 papers)COVID-19 epidemiological studies (12 papers)Respiratory viral infections research (11 papers)

In The Last Decade

Dena L. Schanzer

35 papers receiving 1.1k citations

Peers

Dena L. Schanzer
Comparison fields: 5 of 97
  • Epidemiology 901
  • Infectious Diseases 284
  • Modeling and Simulation 222
  • Health 154
  • Public Health, Environmental and Occupational Health 101
Replace Malini B. DeSilva with:
Malini B. DeSilva United States
Lawrence Mwananyanda United States
Jeffery Cutter Singapore
Yoonjae Kang United States
Theresa Tam Canada
Magali Lemaître France
Kimberly M. Shea United States
Ikechukwu U. Ogbuanu United States
Shaza A. Fadel Canada
Mei-Chuan Hung United States
Dena L. Schanzer relative to Malini B. DeSilva United States Malini B. DeSilva's profile →
Citations per field
00.5×3.9×
Malini B. DeSilva · 1×
Citations per year

Countries citing papers authored by Dena L. Schanzer

Since Specialization
Citations

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

Fields of papers citing papers by Dena L. Schanzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dena L. Schanzer. 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 Dena L. Schanzer. The network helps show where Dena L. Schanzer may publish in the future.

Co-authorship network of co-authors of Dena L. Schanzer

This figure shows the co-authorship network connecting the top 25 collaborators of Dena L. Schanzer. A scholar is included among the top collaborators of Dena L. Schanzer 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 Dena L. Schanzer. Dena L. Schanzer 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
#WorkIndexed citations
1 2
2 5
3 15
4 9
5 19
6 81
7 71
8 8
9 2
10 54
11 44
12 16
13 65
14 18
15 7
16 66
17 93
18 90
19 14
20 25

About Dena L. Schanzer

Dena L. Schanzer is a scholar working on Modeling and Simulation, Epidemiology and Hepatology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (18 papers), COVID-19 epidemiological studies (12 papers) and Respiratory viral infections research (11 papers). The work is most often cited by research in Modeling and Simulation (222 citations), Epidemiology (901 citations) and Health (154 citations). Dena L. Schanzer has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Joanne M. Langley, Theresa Tam, Brian Schwartz, David Boulos, Robert S. Remis, Ping Yan, Chris Archibald, Julie Vachon, L Pelletier and Allison McGeer. Their work appears in journals such as PLoS ONE, American Journal of Epidemiology and IEEE Transactions on Geoscience and Remote Sensing.

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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