William P. Hausdorff

9.2k total citations · 4 hit papers
104 papers, 7.2k citations indexed

About

William P. Hausdorff is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, William P. Hausdorff has authored 104 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Epidemiology, 31 papers in Microbiology and 20 papers in Infectious Diseases. Recurrent topics in William P. Hausdorff's work include Pneumonia and Respiratory Infections (57 papers), Respiratory viral infections research (37 papers) and Bacterial Infections and Vaccines (31 papers). William P. Hausdorff is often cited by papers focused on Pneumonia and Respiratory Infections (57 papers), Respiratory viral infections research (37 papers) and Bacterial Infections and Vaccines (31 papers). William P. Hausdorff collaborates with scholars based in United States, Belgium and United Kingdom. William P. Hausdorff's co-authors include Marc G. Caron, Robert J. Lefkowitz, Peter R. Paradiso, George R. Siber, Keith P. Klugman, John Bryant, Brian F. O’Dowd, R J Lefkowitz, Daniel R. Feikin and Steven Yu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

William P. Hausdorff

99 papers receiving 6.9k citations

Hit Papers

Turning off the signal: d... 1988 2026 2000 2013 1990 2000 1988 1989 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William P. Hausdorff United States 35 3.3k 2.8k 1.8k 1.5k 495 104 7.2k
Thierry Roger Switzerland 52 1.4k 0.4× 2.2k 0.8× 219 0.1× 1.3k 0.8× 490 1.0× 144 9.4k
Didier Heumann Switzerland 36 1.5k 0.4× 1.2k 0.4× 800 0.5× 477 0.3× 456 0.9× 86 5.9k
Robert A. Nicholas United States 44 674 0.2× 2.5k 0.9× 2.1k 1.2× 619 0.4× 211 0.4× 137 6.7k
Bernd Schmeck Germany 41 1.3k 0.4× 2.1k 0.8× 609 0.3× 264 0.2× 675 1.4× 145 5.1k
Arya Biragyn United States 40 664 0.2× 3.4k 1.2× 1.4k 0.8× 197 0.1× 274 0.6× 96 8.8k
Marcelo T. Bozza Brazil 48 2.1k 0.6× 2.8k 1.0× 146 0.1× 557 0.4× 415 0.8× 124 8.9k
Ghassan Dbaibo Lebanon 35 1.4k 0.4× 2.5k 0.9× 294 0.2× 135 0.1× 253 0.5× 159 5.2k
Scott E. Plevy United States 51 2.5k 0.8× 2.4k 0.9× 292 0.2× 179 0.1× 267 0.5× 134 8.8k
Martin Witzenrath Germany 39 1.2k 0.4× 1.8k 0.7× 355 0.2× 150 0.1× 1.0k 2.0× 182 5.0k
James D. Connor United States 45 3.3k 1.0× 723 0.3× 350 0.2× 362 0.2× 336 0.7× 152 6.1k

Countries citing papers authored by William P. Hausdorff

Since Specialization
Citations

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

Fields of papers citing papers by William P. Hausdorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William P. Hausdorff. 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 William P. Hausdorff. The network helps show where William P. Hausdorff may publish in the future.

Co-authorship network of co-authors of William P. Hausdorff

This figure shows the co-authorship network connecting the top 25 collaborators of William P. Hausdorff. A scholar is included among the top collaborators of William P. Hausdorff 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 William P. Hausdorff. William P. Hausdorff 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.
Hausdorff, William P.. (2026). Anti-microbial resistance vaccines: communicating their true value. Philosophical Transactions of the Royal Society B Biological Sciences. 381(1944).
2.
Portnoy, Allison, et al.. (2026). Estimating the Value of Combination Vaccines: A Methodological Framework. PharmacoEconomics.
4.
Kaminski, Robert W., Patricia B. Pavlinac, Elizabeth T. Rogawski McQuade, et al.. (2025). WHO Workshop Report: Regulatory Science to Inform Clinical Pathways for Shigella Vaccines Intended for Use in Children in Low- and Middle-Income Countries. Vaccines. 13(5). 439–439.
5.
Borrow, Ray, Dominique A. Caugant, S. A. Clark, et al.. (2025). Current global trends in meningococcal disease control, risk groups and vaccination: Consensus of the Global Meningococcal Initiative. Journal of Infection. 91(5). 106635–106635.
6.
Feemster, Kristen A., William P. Hausdorff, Natalie Banniettis, et al.. (2024). Implications of Cross-Reactivity and Cross-Protection for Pneumococcal Vaccine Development. Vaccines. 12(9). 974–974. 10 indexed citations
7.
Hausdorff, William P., et al.. (2024). Facilitating the development of urgently required combination vaccines. The Lancet Global Health. 12(6). e1059–e1067. 18 indexed citations
8.
Fleming, Jessica A., Surendra Uranw, Trần Nam Thắng, et al.. (2023). Exploring Shigella vaccine priorities and preferences: Results from a mixed-methods study in low- and middle-income settings. Vaccine X. 15. 100368–100368. 6 indexed citations
9.
Bain, Carolyn, et al.. (2022). Healthcare provider perspectives on delivering next generation rotavirus vaccines in five low-to-middle-income countries. PLoS ONE. 17(6). e0270369–e0270369. 3 indexed citations
10.
Bain, Carolyn, et al.. (2021). National stakeholder preferences for next-generation rotavirus vaccines: Results from a six-country study. Vaccine. 40(2). 370–379. 9 indexed citations
12.
Jokinen, Jukka, Arto A. Palmu, Annika Saukkoriipi, et al.. (2017). Testing Pneumonia Vaccines in the Elderly: Determining a Case Definition for Pneumococcal Pneumonia in the Absence of a Gold Standard. American Journal of Epidemiology. 187(6). 1295–1302. 5 indexed citations
13.
Lin, Tzou‐Yien, Ching-Chuan Liu, Gwendolyn L. Gilbert, et al.. (2013). Etiology of Empyema Thoracis And Parapneumonic Pleural Effusion in Taiwanese Children and Adolescents Younger Than 18 Years of Age. The Pediatric Infectious Disease Journal. 32(4). 419–421. 23 indexed citations
14.
Couloigner, Vincent, Corinne Lévy, M. François, et al.. (2011). Pathogens Implicated in Acute Otitis Media Failures After 7-valent Pneumococcal Conjugate Vaccine Implementation in France. The Pediatric Infectious Disease Journal. 31(2). 154–158. 26 indexed citations
16.
Hausdorff, William P., Bernard Hoet, & Lode Schuerman. (2010). Do pneumococcal conjugate vaccines provide any cross-protection against serotype 19A?. BMC Pediatrics. 10(1). 4–4. 77 indexed citations
17.
Antao, Vinicius C. & William P. Hausdorff. (2008). Global Epidemiology of Pneumococcal Disease—New Prospects for Vaccine Control. Advances in experimental medicine and biology. 634. 19–29. 5 indexed citations
18.
Hoet, Bernard, et al.. (2006). A Mathematical Model of Hepatitis A Transmission in the United States Indicates Value of Universal Childhood Immunization. Clinical Infectious Diseases. 43(2). 158–164. 31 indexed citations
19.
Hausdorff, William P., Greg Yothers, Ron Dagan, et al.. (2002). Multinational study of pneumococcal serotypes causing acute otitis media in children. The Pediatric Infectious Disease Journal. 21(11). 1008–1016. 98 indexed citations
20.
Hausdorff, William P., Martin J. Lohse, Michel Bouvier, et al.. (1990). Two kinases mediate agonist-dependent phosphorylation and desensitization of the beta 2-adrenergic receptor.. PubMed. 44. 225–40. 37 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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