Richard Malley

11.1k total citations · 2 hit papers
134 papers, 7.6k citations indexed

About

Richard Malley is a scholar working on Epidemiology, Microbiology and Immunology. According to data from OpenAlex, Richard Malley has authored 134 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Epidemiology, 45 papers in Microbiology and 30 papers in Immunology. Recurrent topics in Richard Malley's work include Pneumonia and Respiratory Infections (93 papers), Respiratory viral infections research (65 papers) and Bacterial Infections and Vaccines (44 papers). Richard Malley is often cited by papers focused on Pneumonia and Respiratory Infections (93 papers), Respiratory viral infections research (65 papers) and Bacterial Infections and Vaccines (44 papers). Richard Malley collaborates with scholars based in United States, United Kingdom and Brazil. Richard Malley's co-authors include Marc Lipsitch, Claudette M. Thompson, Daniel M. Weinberger, Porter Anderson, Nathan Kuppermann, Ying‐Jie Lu, Krzysztof Trzciński, Kristin Moffitt, Amit Srivastava and Lise E. Nigrovic and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Richard Malley

132 papers receiving 7.4k citations

Hit Papers

Serotype replacement in d... 2003 2026 2010 2018 2011 2003 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Richard Malley 5.0k 2.2k 1.5k 1.0k 916 134 7.6k
Elja Herva 3.5k 0.7× 2.1k 0.9× 395 0.3× 718 0.7× 599 0.7× 97 4.9k
Jussi Mertsola 5.1k 1.0× 3.8k 1.7× 596 0.4× 614 0.6× 1.1k 1.3× 184 7.1k
Octavio Ramilo 6.4k 1.3× 1.1k 0.5× 2.5k 1.6× 788 0.8× 2.3k 2.5× 266 11.1k
Johannes G. Liese 2.5k 0.5× 996 0.4× 947 0.6× 167 0.2× 811 0.9× 133 4.3k
M. Leinonen 3.5k 0.7× 2.5k 1.1× 597 0.4× 650 0.6× 431 0.5× 115 5.4k
Robert Austrian 7.3k 1.5× 3.2k 1.4× 866 0.6× 1.2k 1.1× 894 1.0× 118 9.3k
Brian Greenwood 4.2k 0.9× 3.7k 1.6× 1.1k 0.7× 1.4k 1.4× 921 1.0× 132 7.3k
Jonathan A. McCullers 6.9k 1.4× 806 0.4× 2.6k 1.7× 572 0.6× 1.8k 1.9× 142 9.0k
Luan‐Yin Chang 3.5k 0.7× 533 0.2× 899 0.6× 439 0.4× 4.0k 4.4× 305 9.5k
Xavier Sáez‐Llorens 2.1k 0.4× 1.4k 0.6× 509 0.3× 947 0.9× 1.8k 2.0× 124 4.7k

Countries citing papers authored by Richard Malley

Since Specialization
Citations

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

Fields of papers citing papers by Richard Malley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Malley

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Malley. A scholar is included among the top collaborators of Richard Malley 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 Richard Malley. Richard Malley 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
3.
Dangor, Ziyaad, et al.. (2024). Surface protein distribution in Group B Streptococcus isolates from South Africa and identifying vaccine targets through in silico analysis. Scientific Reports. 14(1). 22665–22665. 2 indexed citations
5.
Bloom, David E., Simone Pecetta, Francesco Berlanda Scorza, et al.. (2024). Vaccination for healthy aging. Science Translational Medicine. 16(745). eadm9183–eadm9183. 7 indexed citations
6.
Manna, Sam, Eileen M. Dunne, Casey L. Pell, et al.. (2024). Immunization with a whole cell vaccine reduces pneumococcal nasopharyngeal density and shedding, and middle ear infection in mice. Vaccine. 42(7). 1714–1722. 1 indexed citations
7.
O’Hara, Joanne M., Shoko Wakabayashi, Noman Siddiqi, et al.. (2023). A MAPS Vaccine Induces Multipronged Systemic and Tissue-Resident Cellular Responses and Protects Mice against Mycobacterium tuberculosis. mBio. 14(1). e0361122–e0361122. 4 indexed citations
9.
Bartsch, Yannic C., et al.. (2022). Preclinical Immunogenicity and Efficacy of a Multiple Antigen-Presenting System (MAPSTM) SARS-CoV-2 Vaccine. Vaccines. 10(7). 1069–1069. 2 indexed citations
10.
Zhang, Fan, et al.. (2022). A Bivalent MAPS Vaccine Induces Protective Antibody Responses against Salmonella Typhi and Paratyphi A. Vaccines. 11(1). 91–91. 12 indexed citations
11.
Funk, Anna, Todd A. Florin, Stuart R. Dalziel, et al.. (2021). Prospective cohort study of children with suspected SARS-CoV-2 infection presenting to paediatric emergency departments: a Paediatric Emergency Research Networks (PERN) Study Protocol. BMJ Open. 11(1). e042121–e042121. 10 indexed citations
12.
Keech, Cheryl, Porter Anderson, Jorge Flores, et al.. (2020). A Phase 1 Randomized, Placebo-controlled, Observer-blinded Trial to Evaluate the Safety and Immunogenicity of Inactivated Streptococcus pneumoniae Whole-cell Vaccine in Adults. The Pediatric Infectious Disease Journal. 39(4). 345–351. 19 indexed citations
13.
Campo, Joseph J., Jozelyn Pablo, Christopher Hung, et al.. (2018). Panproteome-wide analysis of antibody responses to whole cell pneumococcal vaccination. eLife. 7. 25 indexed citations
14.
Wasserman, Gregory A., Fadie T. Coleman, Kristie L. Hilliard, et al.. (2017). Regionally compartmentalized resident memory T cells mediate naturally acquired protection against pneumococcal pneumonia. Mucosal Immunology. 11(1). 220–235. 75 indexed citations
15.
Zhang, Fan, Ying‐Jie Lu, & Richard Malley. (2013). Multiple antigen-presenting system (MAPS) to induce comprehensive B- and T-cell immunity. Proceedings of the National Academy of Sciences. 110(33). 13564–13569. 87 indexed citations
16.
Ha, Un‐Hwan, Jae Hyang Lim, Hirofumi Jono, et al.. (2007). A Novel Role for IκB Kinase (IKK) α and IKKβ in ERK-Dependent Up-Regulation of MUC5AC Mucin Transcription by Streptococcus pneumoniae. The Journal of Immunology. 178(3). 1736–1747. 61 indexed citations
17.
Landwehr-Kenzel, Sybille, Giuseppe Mancuso, Richard Malley, et al.. (2006). c-Jun Kinase Is a Critical Signaling Molecule in a Neonatal Model of Group B Streptococcal Sepsis. The Journal of Immunology. 176(5). 3181–3188. 46 indexed citations
18.
Malley, Richard, Krzysztof Trzciński, Amit Srivastava, et al.. (2005). CD4 + T cells mediate antibody-independent acquired immunity to pneumococcal colonization. Proceedings of the National Academy of Sciences. 102(13). 4848–4853. 270 indexed citations
19.
Henneke, Philipp, Osamu Takeuchi, Richard Malley, et al.. (2002). Cellular Activation, Phagocytosis, and Bactericidal Activity Against Group B Streptococcus Involve Parallel Myeloid Differentiation Factor 88-Dependent and Independent Signaling Pathways. The Journal of Immunology. 169(7). 3970–3977. 120 indexed citations
20.
Malley, Richard, Louis Vernacchio, John P. DeVincenzo, et al.. (2000). Enzyme-linked immunosorbent assay to assess respiratory syncytial virus concentration and correlate results with inflammatory mediators in tracheal secretions. The Pediatric Infectious Disease Journal. 19(1). 1–7. 21 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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