Ken Zangwill

2.5k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Ken Zangwill is a scholar working on Epidemiology, Microbiology and Immunology. According to data from OpenAlex, Ken Zangwill has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 2 papers in Microbiology and 2 papers in Immunology. Recurrent topics in Ken Zangwill's work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (6 papers) and Pneumonia and Respiratory Infections (3 papers). Ken Zangwill is often cited by papers focused on Influenza Virus Research Studies (7 papers), Respiratory viral infections research (6 papers) and Pneumonia and Respiratory Infections (3 papers). Ken Zangwill collaborates with scholars based in United States. Ken Zangwill's co-authors include Robert B. Belshe, Mark Wolff, James C. King, Paul M. Mendelman, Karen Kotloff, David I. Bernstein, Pedro A. Piedra, Frederick G. Hayden, William C. Gruber and John J. Treanor and has published in prestigious journals such as New England Journal of Medicine, PEDIATRICS and The Journal of Infectious Diseases.

In The Last Decade

Ken Zangwill

8 papers receiving 1.5k citations

Hit Papers

The Efficacy of Live Attenuated, Cold-Adapted, Trivalent,... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ken Zangwill United States 7 1.4k 432 358 175 145 8 1.6k
Karen Kotloff United States 7 1.5k 1.1× 502 1.2× 403 1.1× 111 0.6× 156 1.1× 8 1.7k
Dominick Iacuzio United States 8 1.3k 0.9× 419 1.0× 254 0.7× 92 0.5× 151 1.0× 10 1.5k
Sharon J. Tollefson United States 26 2.6k 1.8× 1.6k 3.6× 468 1.3× 50 0.3× 73 0.5× 45 3.0k
John Treanor United States 8 790 0.6× 264 0.6× 290 0.8× 54 0.3× 76 0.5× 8 1.0k
Hans L. Bock Belgium 24 999 0.7× 646 1.5× 155 0.4× 343 2.0× 213 1.5× 76 1.7k
Florette K. Treurnicht South Africa 21 1.3k 0.9× 589 1.4× 334 0.9× 107 0.6× 373 2.6× 87 1.9k
Ulrich Behre Germany 16 695 0.5× 244 0.6× 98 0.3× 156 0.9× 99 0.7× 27 899
Eithne MacMahon United Kingdom 19 606 0.4× 339 0.8× 172 0.5× 104 0.6× 104 0.7× 42 1.1k
Barbara D. Baxter United States 18 1.2k 0.8× 433 1.0× 189 0.5× 82 0.5× 131 0.9× 26 1.5k
Karen L. Kotloff United States 12 458 0.3× 216 0.5× 129 0.4× 63 0.4× 48 0.3× 19 720

Countries citing papers authored by Ken Zangwill

Since Specialization
Citations

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

Fields of papers citing papers by Ken Zangwill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Zangwill

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

All Works

8 of 8 papers shown
1.
Maldonado, Yvonne, Theoklis E. Zaoutis, Ritu Banerjee, et al.. (2020). Recommended Childhood and Adolescent Immunization Schedule: United States, 2020. PEDIATRICS. 145(3). 3 indexed citations
2.
Maldonado, Yvonne, Theoklis E. Zaoutis, Ritu Banerjee, et al.. (2019). Recommendations for Prevention and Control of Influenza in Children, 2019–2020. PEDIATRICS. 144(4). 44 indexed citations
3.
Treanor, John J., Wendy A. Keitel, Robert B. Belshe, et al.. (2002). Evaluation of a single dose of half strength inactivated influenza vaccine in healthy adults. Vaccine. 20(7-8). 1099–1105. 53 indexed citations
4.
Piedra, Pedro A., Lihan Yan, Karen Kotloff, et al.. (2002). Safety of the Trivalent, Cold-Adapted Influenza Vaccine in Preschool-Aged Children. PEDIATRICS. 110(4). 662–672. 57 indexed citations
5.
Belshe, Robert B., William C. Gruber, Paul M. Mendelman, et al.. (2000). Efficacy of vaccination with live attenuated, cold-adapted, trivalent, intranasal influenza virus vaccine against a variant (A/Sydney) not contained in the vaccine. The Journal of Pediatrics. 136(2). 168–175. 340 indexed citations
6.
Belshe, Robert B., William C. Gruber, Paul M. Mendelman, et al.. (2000). Correlates of Immune Protection Induced by Live, Attenuated, Cold‐Adapted, Trivalent, Intranasal Influenza Virus Vaccine. The Journal of Infectious Diseases. 181(3). 1133–1137. 321 indexed citations
7.
Belshe, Robert B., Paul M. Mendelman, John J. Treanor, et al.. (1998). The Efficacy of Live Attenuated, Cold-Adapted, Trivalent, Intranasal Influenzavirus Vaccine in Children. New England Journal of Medicine. 338(20). 1405–1412. 697 indexed citations breakdown →
8.
Zangwill, Ken, Rhett W. Stout, G M Carlone, et al.. (1994). Duration of Antibody Response after Meningococcal Polysaccharide Vaccination in US Air Force Personnel. The Journal of Infectious Diseases. 169(4). 847–852. 79 indexed citations

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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