Matthew Plumb

872 total citations
9 papers, 527 citations indexed

About

Matthew Plumb is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Matthew Plumb has authored 9 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Virology. Recurrent topics in Matthew Plumb's work include HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (4 papers) and Virus-based gene therapy research (3 papers). Matthew Plumb is often cited by papers focused on HIV Research and Treatment (5 papers), HIV/AIDS drug development and treatment (4 papers) and Virus-based gene therapy research (3 papers). Matthew Plumb collaborates with scholars based in United States. Matthew Plumb's co-authors include Mamuka Kvaratskhelia, Frederic D. Bushman, Ross C. Larue, Amit Sharma, Nirav Malani, Sriram Aiyer, Monica J. Roth, Mark P. Foster, Nikoloz Shkriabai and Lei Feng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.

In The Last Decade

Matthew Plumb

9 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Plumb United States 7 402 260 174 135 59 9 527
Sriram Aiyer United States 10 380 0.9× 209 0.8× 124 0.7× 184 1.4× 39 0.7× 19 487
Nathalia Holt United States 3 423 1.1× 217 0.8× 165 0.9× 227 1.7× 63 1.1× 5 668
Nikolozi Shkriabai United States 14 543 1.4× 412 1.6× 358 2.1× 106 0.8× 69 1.2× 16 718
Frances Male United States 9 361 0.9× 387 1.5× 330 1.9× 156 1.2× 84 1.4× 10 667
D St Louis United States 6 184 0.5× 207 0.8× 165 0.9× 125 0.9× 53 0.9× 8 410
Shui-Qing Wei United States 7 300 0.7× 200 0.8× 302 1.7× 82 0.6× 164 2.8× 8 602
Sara El Ashkar Belgium 7 270 0.7× 97 0.4× 52 0.3× 125 0.9× 24 0.4× 9 311
Sachin Prasad United States 4 354 0.9× 186 0.7× 72 0.4× 139 1.0× 69 1.2× 7 491
Adewunmi Onafuwa-Nuga United States 9 234 0.6× 546 2.1× 280 1.6× 90 0.7× 129 2.2× 10 740
Raoul Raffel France 5 352 0.9× 175 0.7× 104 0.6× 39 0.3× 69 1.2× 5 587

Countries citing papers authored by Matthew Plumb

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Plumb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Plumb

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

All Works

9 of 9 papers shown
1.
Mumm, Erica, Matthew Plumb, Scott A. Cunningham, et al.. (2024). Genomic Epidemiology of Human Respiratory Syncytial Virus, Minnesota, USA, July 2023–February 2024. Emerging infectious diseases. 30(11). 2414–2418. 3 indexed citations
2.
Firestone, Melanie J., Kirk Smith, Stacy Holzbauer, et al.. (2020). COVID-19 Outbreak Associated with a 10-Day Motorcycle Rally in a Neighboring State — Minnesota, August–September 2020. MMWR Morbidity and Mortality Weekly Report. 69(47). 1771–1776. 13 indexed citations
3.
Feng, Lei, Venkatasubramanian Dharmarajan, Erik Serrao, et al.. (2016). The Competitive Interplay between Allosteric HIV-1 Integrase Inhibitor BI/D and LEDGF/p75 during the Early Stage of HIV-1 Replication Adversely Affects Inhibitor Potency. ACS Chemical Biology. 11(5). 1313–1321. 27 indexed citations
4.
Singh, Parmit K., Matthew Plumb, Andrea L. Ferris, et al.. (2015). LEDGF/p75 interacts with mRNA splicing factors and targets HIV-1 integration to highly spliced genes. Genes & Development. 29(21). 2287–2297. 83 indexed citations
5.
Larue, Ross C., Matthew Plumb, Nikoloz Shkriabai, et al.. (2014). Bimodal high-affinity association of Brd4 with murine leukemia virus integrase and mononucleosomes. Nucleic Acids Research. 42(8). 4868–4881. 33 indexed citations
6.
Aiyer, Sriram, G.V.T. Swapna, Nirav Malani, et al.. (2014). Altering murine leukemia virus integration through disruption of the integrase and BET protein family interaction. Nucleic Acids Research. 42(9). 5917–5928. 59 indexed citations
7.
Eidahl, Jocelyn O., Justin A. North, Christopher J. McKee, et al.. (2013). Structural basis for high-affinity binding of LEDGF PWWP to mononucleosomes. Nucleic Acids Research. 41(6). 3924–3936. 153 indexed citations
8.
Sharma, Amit, Ross C. Larue, Matthew Plumb, et al.. (2013). BET proteins target murine leukemia virus integration to transcription start sites. Retrovirology. 10(S1). 4 indexed citations
9.
Sharma, Amit, Ross C. Larue, Matthew Plumb, et al.. (2013). BET proteins promote efficient murine leukemia virus integration at transcription start sites. Proceedings of the National Academy of Sciences. 110(29). 12036–12041. 152 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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