Peter T. Beernink

1.9k total citations
55 papers, 1.6k citations indexed

About

Peter T. Beernink is a scholar working on Microbiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Peter T. Beernink has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Microbiology, 33 papers in Epidemiology and 17 papers in Molecular Biology. Recurrent topics in Peter T. Beernink's work include Bacterial Infections and Vaccines (39 papers), Pneumonia and Respiratory Infections (28 papers) and Complement system in diseases (14 papers). Peter T. Beernink is often cited by papers focused on Bacterial Infections and Vaccines (39 papers), Pneumonia and Respiratory Infections (28 papers) and Complement system in diseases (14 papers). Peter T. Beernink collaborates with scholars based in United States, Italy and United Kingdom. Peter T. Beernink's co-authors include Dan M. Granoff, Dean R. Tolan, Sanjay Ram, Rolando Pajón, Brent W. Segelke, Jo Anne Welsch, Jutamas Shaughnessy, Jan P. Erzberger, David M. Wilson and Bernhard Rupp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Peter T. Beernink

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter T. Beernink United States 26 933 803 562 324 134 55 1.6k
Barbara Bolgiano United Kingdom 22 324 0.3× 339 0.4× 634 1.1× 344 1.1× 132 1.0× 62 1.2k
Theodora Fifis Australia 18 185 0.2× 474 0.6× 629 1.1× 568 1.8× 89 0.7× 38 1.5k
Marilyn R. Loeb United States 16 613 0.7× 416 0.5× 680 1.2× 62 0.2× 247 1.8× 23 1.4k
Wuyuan Lu United States 18 213 0.2× 109 0.1× 611 1.1× 295 0.9× 73 0.5× 30 1.1k
John Clarke United Kingdom 15 145 0.2× 325 0.4× 200 0.4× 434 1.3× 54 0.4× 47 1.1k
Hua-Poo Su United States 20 113 0.1× 380 0.5× 583 1.0× 676 2.1× 120 0.9× 33 1.7k
Mahmood Ghassemi United States 14 139 0.1× 158 0.2× 313 0.6× 144 0.4× 123 0.9× 36 821
M.Robert Lifely United Kingdom 15 230 0.2× 262 0.3× 455 0.8× 251 0.8× 221 1.6× 24 982
Alexander MacDonald United States 17 298 0.3× 207 0.3× 280 0.5× 300 0.9× 151 1.1× 53 883
Jin Young Kang South Korea 13 187 0.2× 224 0.3× 778 1.4× 645 2.0× 17 0.1× 28 1.5k

Countries citing papers authored by Peter T. Beernink

Since Specialization
Citations

This map shows the geographic impact of Peter T. Beernink'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 Peter T. Beernink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Beernink more than expected).

Fields of papers citing papers by Peter T. Beernink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. Beernink. 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 Peter T. Beernink. The network helps show where Peter T. Beernink may publish in the future.

Co-authorship network of co-authors of Peter T. Beernink

This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Beernink. A scholar is included among the top collaborators of Peter T. Beernink 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 Peter T. Beernink. Peter T. Beernink 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.
Borrow, Ray, Daniela Toneatto, Stefania Bambini, et al.. (2025). Methods to evaluate the performance of a multicomponent meningococcal serogroup B vaccine. mSphere. 10(4). e0089824–e0089824. 1 indexed citations
2.
Beernink, Peter T., Roberta Marchetti, Linda Cerofolini, et al.. (2024). Gonococcal Mimitope Vaccine Candidate Forms a Beta-Hairpin Turn and Binds Hydrophobically to a Therapeutic Monoclonal Antibody. SHILAP Revista de lepidopterología. 4(7). 2617–2629.
3.
Dold, Christina, Leanne Marsay, Laura Silva-Reyes, et al.. (2023). An adenoviral-vectored vaccine confers seroprotection against capsular group B meningococcal disease. Science Translational Medicine. 15(701). eade3901–eade3901. 2 indexed citations
4.
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Findlow, Jamie, Christopher D. Bayliss, Peter T. Beernink, et al.. (2020). Broad vaccine protection against Neisseria meningitidis using factor H binding protein. Vaccine. 38(49). 7716–7727. 11 indexed citations
6.
Beernink, Peter T., Joanne M. Langley, Soren Gantt, et al.. (2019). Anti-Factor H Antibody Reactivity in Young Adults Vaccinated with a Meningococcal Serogroup B Vaccine Containing Factor H Binding Protein. mSphere. 4(4). 10 indexed citations
7.
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Beernink, Peter T., et al.. (2018). A Meningococcal Native Outer Membrane Vesicle Vaccine With Attenuated Endotoxin and Overexpressed Factor H Binding Protein Elicits Gonococcal Bactericidal Antibodies. The Journal of Infectious Diseases. 219(7). 1130–1137. 43 indexed citations
10.
López‐Sagaseta, Jacinto, Peter T. Beernink, Federica Bianchi, et al.. (2018). Crystal structure reveals vaccine elicited bactericidal human antibody targeting a conserved epitope on meningococcal fHbp. Nature Communications. 9(1). 528–528. 15 indexed citations
11.
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Rossi, Raffaella, et al.. (2016). Meningococcal Factor H Binding Protein Vaccine Antigens with Increased Thermal Stability and Decreased Binding of Human Factor H. Infection and Immunity. 84(6). 1735–1742. 15 indexed citations
13.
Rossi, Raffaella, Peter T. Beernink, Serena Giuntini, & Dan M. Granoff. (2015). Susceptibility of Meningococcal Strains Responsible for Two Serogroup B Outbreaks on U.S. University Campuses to Serum Bactericidal Activity Elicited by the MenB-4C Vaccine. Clinical and Vaccine Immunology. 22(12). 1227–1234. 22 indexed citations
14.
Beernink, Peter T., et al.. (2015). Functional Analysis of the Human Antibody Response to Meningococcal Factor H Binding Protein. mBio. 6(3). e00842–e00842. 13 indexed citations
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Granoff, Dan M., et al.. (2013). Importance of Inhibition of Binding of Complement Factor H for Serum Bactericidal Antibody Responses to Meningococcal Factor H-binding Protein Vaccines. The Journal of Infectious Diseases. 208(4). 627–636. 30 indexed citations
17.
Rossi, Raffaella, Dan M. Granoff, & Peter T. Beernink. (2013). Meningococcal factor H-binding protein vaccines with decreased binding to human complement factor H have enhanced immunogenicity in human factor H transgenic mice. Vaccine. 31(46). 5451–5457. 29 indexed citations
18.
Giuntini, Serena, Peter T. Beernink, Donald C. Reason, & Dan M. Granoff. (2012). Monoclonal Antibodies to Meningococcal Factor H Binding Protein with Overlapping Epitopes and Discordant Functional Activity. PLoS ONE. 7(3). e34272–e34272. 17 indexed citations
19.
Tolan, Dean R., Benjamin Schuler, Peter T. Beernink, & Rainer Jaenicke. (2003). Thermodynamic Analysis of the Dissociation of the Aldolase Tetramer Substituted at One or Both of the Subunit Interfaces. Biological Chemistry. 384(10-11). 1463–71. 15 indexed citations
20.
Coleman, Matthew A., et al.. (2003). Identification of chromatin‐related protein interactions using protein microarrays. PROTEOMICS. 3(11). 2101–2107. 20 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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