Kenneth M. Zangwill

4.1k citations
67 papers · 3.0k indexed · 2 hit papers · h-index 26
Topics
Influenza Virus Research Studies (18 papers)Respiratory viral infections research (17 papers)Vaccine Coverage and Hesitancy (13 papers)

In The Last Decade

Kenneth M. Zangwill

66 papers receiving 2.8k citations

Hit Papers

Safety and Immunogenicity of an Inactivated Subvirio...199320262004201520061993100200300400500

Peers

Kenneth M. Zangwill
Comparison fields: 5 of 113
  • Epidemiology 1.9k
  • Infectious Diseases 994
  • Public Health, Environmental and Occupational Health 572
  • Parasitology 513
  • Health 340
Replace Todd F. Hatchette with:
Todd F. Hatchette Canada
Terri B. Hyde United States
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Kenneth M. Zangwill relative to Todd F. Hatchette Canada Todd F. Hatchette's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kenneth M. Zangwill

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth M. Zangwill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth M. Zangwill. 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 Kenneth M. Zangwill. The network helps show where Kenneth M. Zangwill may publish in the future.

Co-authorship network of co-authors of Kenneth M. Zangwill

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth M. Zangwill. A scholar is included among the top collaborators of Kenneth M. Zangwill 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 Kenneth M. Zangwill. Kenneth M. Zangwill 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 0
2 3
3 12
4 17
5 30
6 1
7 1
8 3
9 4
10 5
11 50
12 12
13
Safety and Immunogenicity of an Inactivated Subvirion Influenza A (H5N1) Vaccinebreakdown →
562
14 96
15 22
16 30
17 54
18 67
19 158
20 34

About Kenneth M. Zangwill

Kenneth M. Zangwill is a scholar working on Microbiology, Health and Infectious Diseases, having authored 67 papers that have together received 3.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (18 papers), Respiratory viral infections research (17 papers) and Vaccine Coverage and Hesitancy (13 papers). The work is most often cited by research in Parasitology (513 citations), Epidemiology (1.9k citations) and Infectious Diseases (994 citations). Kenneth M. Zangwill has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Jay D. Wenger, Mark Wolff, James D. Campbell, John J. Treanor, Thomas Rowe, Anne Schuchat, Brian D. Plikaytis, James L. Hadler, Matthew Cartter and Robert B. Belshe. Their work appears in journals such as New England Journal of Medicine, JAMA and PEDIATRICS.

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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