Monica J. Roth

3.0k total citations
96 papers, 2.5k citations indexed

About

Monica J. Roth is a scholar working on Virology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Monica J. Roth has authored 96 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Virology, 65 papers in Molecular Biology and 41 papers in Infectious Diseases. Recurrent topics in Monica J. Roth's work include HIV Research and Treatment (68 papers), HIV/AIDS drug development and treatment (40 papers) and Virus-based gene therapy research (31 papers). Monica J. Roth is often cited by papers focused on HIV Research and Treatment (68 papers), HIV/AIDS drug development and treatment (40 papers) and Virus-based gene therapy research (31 papers). Monica J. Roth collaborates with scholars based in United States, Chile and Canada. Monica J. Roth's co-authors include Stephen P. Goff, Jeffrey S. Smith, Naoko Tanese, Pamela L. Schwartzberg, Colleen B. Jonsson, Óscar León, Sriram Aiyer, Marie L. Coté, Nirav Malani and Christine M. Smith and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Monica J. Roth

95 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica J. Roth United States 28 1.6k 1.4k 1.0k 677 296 96 2.5k
Alan Rein United States 29 1.9k 1.1× 1.6k 1.2× 804 0.8× 443 0.7× 472 1.6× 46 3.4k
A Rein United States 22 1.2k 0.8× 1.2k 0.8× 601 0.6× 358 0.5× 321 1.1× 29 2.2k
Bruce Crise United States 21 1.8k 1.1× 900 0.6× 520 0.5× 911 1.3× 433 1.5× 26 3.0k
Nava Sarver United States 23 1.4k 0.9× 614 0.4× 427 0.4× 653 1.0× 399 1.3× 39 2.3k
Sentob Saragosti France 28 1.1k 0.7× 1.8k 1.3× 1.4k 1.3× 304 0.4× 621 2.1× 68 3.3k
Andrea L. Ferris United States 26 2.1k 1.3× 2.5k 1.8× 2.2k 2.1× 408 0.6× 511 1.7× 38 3.9k
F. Hill United Kingdom 25 1.4k 0.9× 517 0.4× 421 0.4× 280 0.4× 326 1.1× 59 2.5k
Goedele N. Maertens United Kingdom 25 2.2k 1.4× 1.5k 1.1× 1.3k 1.2× 465 0.7× 415 1.4× 34 3.1k
Jennifer Garrus United States 15 1.2k 0.7× 1.1k 0.8× 562 0.5× 238 0.4× 446 1.5× 19 2.7k
Susan L. Kozak United States 29 1.2k 0.8× 2.1k 1.5× 1.0k 1.0× 786 1.2× 676 2.3× 40 3.5k

Countries citing papers authored by Monica J. Roth

Since Specialization
Citations

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

Fields of papers citing papers by Monica J. Roth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica J. Roth

This figure shows the co-authorship network connecting the top 25 collaborators of Monica J. Roth. A scholar is included among the top collaborators of Monica J. Roth 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 Monica J. Roth. Monica J. Roth 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.
Roth, Monica J., et al.. (2025). Hybrid AI/physics pipeline for miniprotein binder prioritization: application to the BRD3 ET domain. Chemical Communications. 61(96). 19028–19031.
2.
Mondal, Arup, et al.. (2024). A Computational Pipeline for Accurate Prioritization of Protein‐Protein Binding Candidates in High‐Throughput Protein Libraries. Angewandte Chemie International Edition. 63(24). e202405767–e202405767. 5 indexed citations
3.
Aiyer, Sriram, G.V.T. Swapna, Gaohua Liu, et al.. (2021). A common binding motif in the ET domain of BRD3 forms polymorphic structural interfaces with host and viral proteins. Structure. 29(8). 886–898.e6. 26 indexed citations
4.
Achuthan, Vasudevan, Kathryn Gilroy, Gillian Borland, et al.. (2019). Disrupting MLV integrase:BET protein interaction biases integration into quiescent chromatin and delays but does not eliminate tumor activation in a MYC/Runx2 mouse model. PLoS Pathogens. 15(12). e1008154–e1008154. 8 indexed citations
5.
Modi, Apexa, et al.. (2016). Repression of the Chromatin-Tethering Domain of Murine Leukemia Virus p12. Journal of Virology. 90(24). 11197–11207. 8 indexed citations
6.
Modi, Apexa, et al.. (2016). Phosphorylation Requirement of Murine Leukemia Virus p12. Journal of Virology. 90(24). 11208–11219. 10 indexed citations
7.
Wu, Daitze & Monica J. Roth. (2014). MLV based viral-like-particles for delivery of toxic proteins and nuclear transcription factors. Biomaterials. 35(29). 8416–8426. 15 indexed citations
8.
Henríquez, Daniel R., Caifeng Zhao, Haiyan Zheng, et al.. (2013). Crosslinking and mass spectrometry suggest that the isolated NTD domain dimer of Moloney murine leukemia virus integrase adopts a parallel arrangement in solution. BMC Structural Biology. 13(1). 14–14. 2 indexed citations
9.
Schneider, William M., Haiyan Zheng, Marie L. Coté, & Monica J. Roth. (2007). The MuLV 4070A G541R Env mutation decreases the stability and alters the conformation of the TM ectodomain. Virology. 371(1). 165–174. 1 indexed citations
10.
Coté, Marie L., Michael Scher, Joelle N. Pelletier, et al.. (2006). Revealing Domain Structure through Linker-Scanning Analysis of the Murine Leukemia Virus (MuLV) RNase H and MuLV and Human Immunodeficiency Virus Type 1 Integrase Proteins. Journal of Virology. 80(19). 9497–9510. 21 indexed citations
11.
Villanueva, Rodrigo A., Colleen B. Jonsson, Jennifer Jones, Millie M. Georgiadis, & Monica J. Roth. (2003). Differential multimerization of Moloney murine leukemia virus integrase purified under nondenaturing conditions. Virology. 316(1). 146–160. 12 indexed citations
12.
Villanueva, Rodrigo A., Stephen J. Campbell, & Monica J. Roth. (2003). Molecular analysis of a recombinant M-MuLV/RaLV retrovirus. Virology. 315(1). 195–208. 3 indexed citations
13.
Lu, Chi-Wei & Monica J. Roth. (2003). Functional interaction between the N- and C-terminal domains of murine leukemia virus surface envelope protein. Virology. 310(1). 130–140. 7 indexed citations
14.
15.
Roth, Monica J., et al.. (2002). Altering Retroviral Tropism Using a Random-Display Envelope Library. Molecular Therapy. 5(3). 329–335. 33 indexed citations
16.
León, Óscar & Monica J. Roth. (2000). Zinc fingers: DNA binding and protein-protein interactions. Biological Research. 33(1). 21–30. 77 indexed citations
18.
Adams, Monica, et al.. (2000). Differential Effects of C-Terminal Molecular Tagged Integrase on Replication Competent Moloney Murine Leukemia Virus. Virology. 274(2). 412–419. 6 indexed citations
19.
Roth, Monica J., et al.. (2000). Second-Site Changes Affect Viability of Amphotropic/Ecotropic Chimeric Enveloped Murine Leukemia Viruses. Journal of Virology. 74(2). 899–913. 31 indexed citations
20.
Tanese, Naoko, Monica J. Roth, & Stephen P. Goff. (1986). Analysis of retroviral pol gene products with antisera raised against fusion proteins produced in Escherichia coli. Journal of Virology. 59(2). 328–340. 53 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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