Michael J. Root

1.4k total citations
26 papers, 1.2k citations indexed

About

Michael J. Root is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Michael J. Root has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Virology, 13 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Michael J. Root's work include HIV Research and Treatment (18 papers), HIV/AIDS drug development and treatment (12 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Michael J. Root is often cited by papers focused on HIV Research and Treatment (18 papers), HIV/AIDS drug development and treatment (12 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Michael J. Root collaborates with scholars based in United States, Switzerland and Spain. Michael J. Root's co-authors include Michael S. Kay, Peter S. Kim, Dean H. Hamer, Allen W. Root, Kristen M. Kahle, Akira Shishido, Harm‐Anton Klok, Maarten Danial, James N. Francis and R. Mark Jones and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael J. Root

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Root United States 18 634 477 464 225 213 26 1.2k
Deena A. Oren United States 16 141 0.2× 394 0.8× 631 1.4× 111 0.5× 230 1.1× 25 1.2k
Michael D. Swanson United States 17 467 0.7× 345 0.7× 538 1.2× 58 0.3× 328 1.5× 26 1.3k
Paolo Ingallinella Italy 17 329 0.5× 427 0.9× 527 1.1× 241 1.1× 163 0.8× 27 1.2k
Terri G. Edwards United States 20 643 1.0× 315 0.7× 443 1.0× 78 0.3× 480 2.3× 34 1.4k
Olga Latinovic United States 14 531 0.8× 326 0.7× 324 0.7× 56 0.2× 345 1.6× 40 1.1k
Suganya Selvarajah United States 12 300 0.5× 248 0.5× 529 1.1× 69 0.3× 203 1.0× 20 1.3k
Maxime Moulard France 16 842 1.3× 380 0.8× 378 0.8× 225 1.0× 565 2.7× 37 1.3k
Wenwei Li China 21 100 0.2× 215 0.5× 411 0.9× 104 0.5× 311 1.5× 55 1.3k
Ahmad Khorchid Canada 16 501 0.8× 311 0.7× 809 1.7× 38 0.2× 80 0.4× 18 1.1k

Countries citing papers authored by Michael J. Root

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Root

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Root. 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 Michael J. Root. The network helps show where Michael J. Root may publish in the future.

Co-authorship network of co-authors of Michael J. Root

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Root. A scholar is included among the top collaborators of Michael J. Root 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 Michael J. Root. Michael J. Root 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.
Root, Michael J., et al.. (2022). Regulation of epitope exposure in the gp41 membrane-proximal external region through interactions at the apex of HIV-1 Env. PLoS Pathogens. 18(5). e1010531–e1010531. 3 indexed citations
2.
Dick, Alexej, et al.. (2021). Altered Env conformational dynamics as a mechanism of resistance to peptide-triazole HIV-1 inactivators. Retrovirology. 18(1). 31–31. 4 indexed citations
3.
Smith, Amanda R., Matthew T. Weinstock, Frank G. Whitby, et al.. (2019). Characterization of resistance to a potent d-peptide HIV entry inhibitor. Retrovirology. 16(1). 28–28. 7 indexed citations
4.
Root, Michael J., et al.. (2017). Complex interplay of kinetic factors governs the synergistic properties of HIV-1 entry inhibitors. Journal of Biological Chemistry. 292(40). 16498–16510. 13 indexed citations
5.
Leslie, George J., Jianbin Wang, Max W. Richardson, et al.. (2016). Potent and Broad Inhibition of HIV-1 by a Peptide from the gp41 Heptad Repeat-2 Domain Conjugated to the CXCR4 Amino Terminus. PLoS Pathogens. 12(11). e1005983–e1005983. 33 indexed citations
6.
Bhardwaj, Anshul, et al.. (2016). Receptor Activation of HIV-1 Env Leads to Asymmetric Exposure of the gp41 Trimer. PLoS Pathogens. 12(12). e1006098–e1006098. 28 indexed citations
7.
8.
9.
Bastian, Arangassery Rosemary, Ramalingam Venkat Kalyana Sundaram, Diogo Rodrigo Magalhães Moreira, et al.. (2014). Mechanism of Multivalent Nanoparticle Encounter with HIV-1 for Potency Enhancement of Peptide Triazole Virus Inactivation. Journal of Biological Chemistry. 290(1). 529–543. 40 indexed citations
10.
Bashir, Mohamed Elfatih H., et al.. (2013). Dual Function of Novel Pollen Coat (Surface) Proteins: IgE-binding Capacity and Proteolytic Activity Disrupting the Airway Epithelial Barrier. PLoS ONE. 8(1). e53337–e53337. 27 indexed citations
11.
Danial, Maarten, Michael J. Root, & Harm‐Anton Klok. (2012). Polyvalent Side Chain Peptide–Synthetic Polymer Conjugates as HIV-1 Entry Inhibitors. Biomacromolecules. 13(5). 1438–1447. 39 indexed citations
12.
Pumroy, Ruth A., Jonathan Nardozzi, Darren J. Hart, Michael J. Root, & Gino Cingolani. (2011). Nucleoporin Nup50 Stabilizes Closed Conformation of Armadillo repeat 10 in Importin α5. Journal of Biological Chemistry. 287(3). 2022–2031. 25 indexed citations
13.
Kahle, Kristen M., et al.. (2009). Asymmetric Deactivation of HIV-1 gp41 following Fusion Inhibitor Binding. PLoS Pathogens. 5(11). e1000674–e1000674. 49 indexed citations
14.
Jones, R. Mark, et al.. (2008). A Human Monoclonal Antibody that Binds Serotype A Botulinum Neurotoxin. Hybridoma. 27(1). 11–17. 17 indexed citations
15.
Shishido, Akira, et al.. (2008). Interactions of HIV-1 Inhibitory Peptide T20 with the gp41 N-HR Coiled Coil. Journal of Biological Chemistry. 284(6). 3619–3627. 46 indexed citations
16.
Jones, R. Mark, et al.. (2008). Hybridoma populations enriched for affinity-matured human IgGs yield high-affinity antibodies specific for botulinum neurotoxins. Journal of Immunological Methods. 333(1-2). 156–166. 28 indexed citations
17.
Takahashi, Tsuyoshi, R. Mark Jones, Fetweh H. Al‐Saleem, et al.. (2008). Neutralization of Botulinum Neurotoxin by a Human Monoclonal Antibody Specific for the Catalytic Light Chain. PLoS ONE. 3(8). e3023–e3023. 56 indexed citations
18.
Lederman, Michael M., Robin Jump, Heather A. Pilch-Cooper, Michael J. Root, & Scott F. Sieg. (2008). Topical application of entry inhibitors as "virustats" to prevent sexual transmission of HIV infection. Retrovirology. 5(1). 116–116. 21 indexed citations
19.
Sugaya, Makoto, Oliver Hartley, Michael J. Root, & Andrew Blauvelt. (2007). C34, a Membrane Fusion Inhibitor, Blocks HIV Infection of Langerhans Cells and Viral Transmission to T Cells. Journal of Investigative Dermatology. 127(6). 1436–1443. 13 indexed citations
20.
Root, Michael J., et al.. (2006). Kinetic Dependence to HIV-1 Entry Inhibition. Journal of Biological Chemistry. 281(35). 25813–25821. 64 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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