Leon de Waal

2.2k total citations
35 papers, 987 citations indexed

About

Leon de Waal is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Leon de Waal has authored 35 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 13 papers in Infectious Diseases and 8 papers in Immunology. Recurrent topics in Leon de Waal's work include Respiratory viral infections research (21 papers), Influenza Virus Research Studies (13 papers) and Viral gastroenteritis research and epidemiology (6 papers). Leon de Waal is often cited by papers focused on Respiratory viral infections research (21 papers), Influenza Virus Research Studies (13 papers) and Viral gastroenteritis research and epidemiology (6 papers). Leon de Waal collaborates with scholars based in Netherlands, Germany and United States. Leon de Waal's co-authors include Albert D. M. E. Osterhaus, Geert van Amerongen, Koert J. Stittelaar, Judith M. A. van den Brand, Rik L. de Swart, Thijs Kuiken, Herman J. Neijens, Laurens P. Koopman, Wytske J. Fokkens and Cornelis M. van Drunen and has published in prestigious journals such as PLoS ONE, Journal of Virology and The Journal of Infectious Diseases.

In The Last Decade

Leon de Waal

32 papers receiving 961 citations

Peers

Leon de Waal
Sara Mertz United States
Hong Jin United States
Sylvie M. Koekkoek Netherlands
Roland A. Levandowski United States
Kaitlyn M. Morabito United States
Joanne Stockton United Kingdom
Sara Mertz United States
Leon de Waal
Citations per year, relative to Leon de Waal Leon de Waal (= 1×) peers Sara Mertz

Countries citing papers authored by Leon de Waal

Since Specialization
Citations

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

Fields of papers citing papers by Leon de Waal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon de Waal. 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 Leon de Waal. The network helps show where Leon de Waal may publish in the future.

Co-authorship network of co-authors of Leon de Waal

This figure shows the co-authorship network connecting the top 25 collaborators of Leon de Waal. A scholar is included among the top collaborators of Leon de Waal 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 Leon de Waal. Leon de Waal 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
1.
Guilfoyle, Kate, Leon de Waal, Geert van Amerongen, et al.. (2025). Highly Pathogenic Avian Influenza Virus A/H5N1 Subclade 2.3.4.4b Isolated from a European Grey Seal ( Halichoerus grypus ) Is Highly Virulent in Ferrets. The Journal of Infectious Diseases. 232(6). e886–e896. 1 indexed citations
2.
Bauer, Martín W., Stephan Stenglein, Oliver Pötz, et al.. (2025). Antiviral and immunomodulatory effect of zapnometinib in animal models and hospitalized COVID-19 patients. Frontiers in Immunology. 16. 1631721–1631721.
3.
Somogyi, E, Mariann Kremlitzka, József Tóth, et al.. (2023). T cell immunity ameliorates COVID-19 disease severity and provides post-exposure prophylaxis after peptide-vaccination, in Syrian hamsters. Frontiers in Immunology. 14. 1111629–1111629. 2 indexed citations
4.
Platenburg, Peter Paul, et al.. (2023). Carbohydrate fatty acid monosulphate ester is a potent adjuvant for low-dose seasonal influenza vaccines. Vaccine. 41(47). 6980–6990. 3 indexed citations
5.
Stadlbauer, Daniel, Leon de Waal, Édith Beaulieu, et al.. (2021). AS03-adjuvanted H7N9 inactivated split virion vaccines induce cross-reactive and protective responses in ferrets. npj Vaccines. 6(1). 40–40. 9 indexed citations
6.
Widagdo, W., Nisreen M.A. Okba, Mathilde Richard, et al.. (2019). Lack of Middle East Respiratory Syndrome Coronavirus Transmission in Rabbits. Viruses. 11(4). 381–381. 10 indexed citations
7.
Haagmans, Bart L., Judith M. A. van den Brand, Lisette B. Provacia, et al.. (2015). Asymptomatic Middle East Respiratory Syndrome Coronavirus Infection in Rabbits. Journal of Virology. 89(11). 6131–6135. 74 indexed citations
8.
Mann, Alex, Nicolas Noulin, Andrew Catchpole, et al.. (2014). Intranasal H5N1 Vaccines, Adjuvanted with Chitosan Derivatives, Protect Ferrets against Highly Pathogenic Influenza Intranasal and Intratracheal Challenge. PLoS ONE. 9(5). e93761–e93761. 27 indexed citations
9.
Vries, Erhard van der, Koert J. Stittelaar, Geert van Amerongen, et al.. (2013). Prolonged Influenza Virus Shedding and Emergence of Antiviral Resistance in Immunocompromised Patients and Ferrets. PLoS Pathogens. 9(5). e1003343–e1003343. 91 indexed citations
10.
Kreijtz, Joost H. C. M., Edwin J. B. Veldhuis Kroeze, Koert J. Stittelaar, et al.. (2013). Low pathogenic avian influenza A(H7N9) virus causes high mortality in ferrets upon intratracheal challenge: A model to study intervention strategies. Vaccine. 31(43). 4995–4999. 36 indexed citations
11.
Brand, Judith M. A. van den, Koert J. Stittelaar, Geert van Amerongen, et al.. (2012). Comparison of Temporal and Spatial Dynamics of Seasonal H3N2, Pandemic H1N1 and Highly Pathogenic Avian Influenza H5N1 Virus Infections in Ferrets. PLoS ONE. 7(8). e42343–e42343. 93 indexed citations
12.
Baras, Benoı̂t, Leon de Waal, Koert J. Stittelaar, et al.. (2011). Pandemic H1N1 vaccine requires the use of an adjuvant to protect against challenge in naïve ferrets. Vaccine. 29(11). 2120–2126. 22 indexed citations
13.
Baras, Benoı̂t, Koert J. Stittelaar, Thijs Kuiken, et al.. (2011). Longevity of the protective immune response induced after vaccination with one or two doses of AS03A-adjuvanted split H5N1 vaccine in ferrets. Vaccine. 29(11). 2092–2099. 16 indexed citations
14.
Ham, Henk‐Jan van den, Leon de Waal, Arno C. Andeweg, & Rob J. de Boer. (2010). Identification of helper T cell master regulator candidates using the polar score method. Journal of Immunological Methods. 361(1-2). 98–109. 6 indexed citations
15.
Waal, Leon de, Linda S. Wyatt, Kees Sintnicolaas, et al.. (2006). T Cell Responses to Respiratory Syncytial Virus Fusion and Attachment Proteins in Human Peripheral Blood Mononuclear Cells. Viral Immunology. 19(4). 669–678. 8 indexed citations
17.
Drunen, Cornelis M. van, Laurens P. Koopman, Alex KleinJan, et al.. (2003). RSV‐induced bronchiolitis but not upper respiratory tract infection is accompanied by an increased nasal IL‐18 response. Journal of Medical Virology. 71(2). 290–297. 33 indexed citations
18.
Waal, Leon de, Ultan F. Power, Selma Yüksel, et al.. (2003). Evaluation of BBG2Na in infant macaques: specific immune responses after vaccination and RSV challenge. Vaccine. 22(8). 915–922. 41 indexed citations
19.
Waal, Leon de, Laurens P. Koopman, A. H. Brandenburg, et al.. (2003). Moderate local and systemic respiratory syncytial virus‐specific T‐cell responses upon mild or subclinical RSV infection. Journal of Medical Virology. 70(2). 309–318. 22 indexed citations
20.
Dubbink, Hendrikus J., Leon de Waal, Rien van Haperen, et al.. (1998). The Human Prostate-Specific Transglutaminase Gene (TGM4): Genomic Organization, Tissue-Specific Expression, and Promoter Characterization. Genomics. 51(3). 434–444. 52 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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