John Misasi

3.9k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

John Misasi is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, John Misasi has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in John Misasi's work include Viral Infections and Outbreaks Research (10 papers), Viral Infections and Vectors (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). John Misasi is often cited by papers focused on Viral Infections and Outbreaks Research (10 papers), Viral Infections and Vectors (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). John Misasi collaborates with scholars based in United States, Switzerland and Democratic Republic of the Congo. John Misasi's co-authors include James M. Cunningham, Marceline Côté, Claire Marie Filone, Kartik Chandran, Lisa E. Hensley, Kyung‐Ae Lee, Tao Ren, Anna Bruchez, Qi Li and Daniel Ory and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John Misasi

15 papers receiving 1.1k citations

Hit Papers

Small molecule inhibitors reveal Niemann–Pick C1 is essen... 2011 2026 2016 2021 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Small molecule inhibitors reveal Niemann–Pick C1 is essential for Ebola virus infection
    2011 527 citations Marceline Côté, John Misasi et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Misasi United States 13 826 361 181 134 90 15 1.1k
Caroline Carbonnelle France 12 783 0.9× 315 0.9× 253 1.4× 62 0.5× 83 0.9× 17 1.1k
Andrew S. Kondratowicz United States 12 592 0.7× 267 0.7× 203 1.1× 167 1.2× 78 0.9× 13 927
Sven Møller-Tank United States 13 682 0.8× 229 0.6× 236 1.3× 197 1.5× 162 1.8× 15 1.1k
Ayan K. Chakrabarti United States 20 739 0.9× 190 0.5× 120 0.7× 150 1.1× 50 0.6× 29 951
Wakako Furuyama United States 16 515 0.6× 258 0.7× 123 0.7× 99 0.7× 73 0.8× 39 734
Shuzo Urata Japan 16 678 0.8× 335 0.9× 167 0.9× 194 1.4× 111 1.2× 46 1.1k
Lyn M. O’Brien United Kingdom 16 362 0.4× 191 0.5× 165 0.9× 148 1.1× 45 0.5× 34 830
Xiǎolì Chī United States 9 493 0.6× 286 0.8× 181 1.0× 174 1.3× 63 0.7× 13 910
Colette Pietzsch United States 14 404 0.5× 151 0.4× 179 1.0× 52 0.4× 50 0.6× 22 616
Masaharu Iwasaki Japan 14 481 0.6× 391 1.1× 101 0.6× 55 0.4× 115 1.3× 29 727

Countries citing papers authored by John Misasi

Since Specialization
Citations

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

Fields of papers citing papers by John Misasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Misasi

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

All Works

15 of 15 papers shown
1.
Richardson, Simone I., Nelia P. Manamela, Haajira Kaldine, et al.. (2022). SARS-CoV-2 Beta and Delta variants trigger Fc effector function with increased cross-reactivity. Cell Reports Medicine. 3(2). 100510–100510. 36 indexed citations
2.
Ko, Sung Hee, Elham Bayat Mokhtari, Prakriti Mudvari, et al.. (2021). High-throughput, single-copy sequencing reveals SARS-CoV-2 spike variants coincident with mounting humoral immunity during acute COVID-19. PLoS Pathogens. 17(4). e1009431–e1009431. 19 indexed citations
3.
Misasi, John & Nancy J. Sullivan. (2021). Immunotherapeutic strategies to target vulnerabilities in the Ebolavirus glycoprotein. Immunity. 54(3). 412–436. 13 indexed citations
4.
Cagigi, Alberto, Aurélie Ploquin, Yan Zhou, et al.. (2018). Vaccine-Mediated Induction of an Ebolavirus Cross-Species Antibody Binding to Conserved Epitopes on the Glycoprotein Heptad Repeat 2/Membrane-Proximal External Junction. The Journal of Infectious Diseases. 218(suppl_5). S537–S544. 3 indexed citations
5.
Cagigi, Alberto, John Misasi, Aurélie Ploquin, et al.. (2018). Vaccine Generation of Protective Ebola Antibodies and Identification of Conserved B-Cell Signatures. The Journal of Infectious Diseases. 218(suppl_5). S528–S536. 14 indexed citations
6.
Zou, Zhongcheng, John Misasi, Nancy J. Sullivan, & Peter D. Sun. (2017). Overexpression of Ebola virus envelope GP1 protein. Protein Expression and Purification. 135. 45–53. 2 indexed citations
7.
Misasi, John, Morgan S. A. Gilman, Masaru Kanekiyo, et al.. (2016). Structural and molecular basis for Ebola virus neutralization by protective human antibodies. Science. 351(6279). 1343–1346. 135 indexed citations
8.
Misasi, John & Nancy Sullivan. (2014). Camouflage and Misdirection: The Full-On Assault of Ebola Virus Disease. Cell. 159(3). 477–486. 54 indexed citations
9.
Silverman, Michael A., John Misasi, Sandra Smole, et al.. (2013). Eastern Equine Encephalitis in Children, Massachusetts and New Hampshire,USA, 1970–2010. Emerging infectious diseases. 19(2). 194–201. 44 indexed citations
10.
Lee, Kyung‐Ae, Tao Ren, Marceline Côté, et al.. (2012). Inhibition of Ebola Virus Infection: Identification of Niemann-Pick C1 as the Target by Optimization of a Chemical Probe. ACS Medicinal Chemistry Letters. 4(2). 239–243. 28 indexed citations
11.
Misasi, John, Kartik Chandran, Jinyi Yang, et al.. (2012). Filoviruses Require Endosomal Cysteine Proteases for Entry but Exhibit Distinct Protease Preferences. Journal of Virology. 86(6). 3284–3292. 91 indexed citations
12.
Côté, Marceline, John Misasi, Tao Ren, et al.. (2011). Small molecule inhibitors reveal Niemann–Pick C1 is essential for Ebola virus infection. Nature. 477(7364). 344–348. 527 indexed citations breakdown →
13.
Radoshitzky, Sheli R., Kelly L. Warfield, Xiǎolì Chī, et al.. (2011). Ebolavirus Δ-Peptide Immunoadhesins Inhibit Marburgvirus and Ebolavirus Cell Entry. Journal of Virology. 85(17). 8502–8513. 35 indexed citations
14.
Sullivan, Jack M., et al.. (2002). Hammerhead ribozymes designed to cleave all human rod opsin mRNAs which cause autosomal dominant retinitis pigmentosa.. PubMed. 8. 102–13. 32 indexed citations
15.
Hatch, Anson V., Takeshi Sano, John Misasi, & Cassandra L. Smith. (1999). Rolling circle amplification of DNA immobilized on solid surfaces and its application to multiplex mutation detection. Genetic Analysis Biomolecular Engineering. 15(2). 35–40. 47 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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