Michael A. DiMattia

3.2k total citations
19 papers, 887 citations indexed

About

Michael A. DiMattia is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Michael A. DiMattia has authored 19 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Michael A. DiMattia's work include Virus-based gene therapy research (6 papers), RNA Research and Splicing (4 papers) and HIV Research and Treatment (3 papers). Michael A. DiMattia is often cited by papers focused on Virus-based gene therapy research (6 papers), RNA Research and Splicing (4 papers) and HIV Research and Treatment (3 papers). Michael A. DiMattia collaborates with scholars based in United States, United Kingdom and Canada. Michael A. DiMattia's co-authors include Mavis Agbandje‐McKenna, Brittney L. Gurda, Robert McKenna, Alasdair C. Steven, Paul T. Wingfield, Norman R. Watts, Nicholas Muzyczka, Stephen J. Stahl, David I. Stuart and Jonathan M. Grimes and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael A. DiMattia

19 papers receiving 874 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 A. DiMattia United States 13 592 419 194 176 93 19 887
Jarrod S. Johnson United States 14 619 1.0× 513 1.2× 171 0.9× 138 0.8× 154 1.7× 20 962
Hongxing Zhao Sweden 20 566 1.0× 356 0.8× 197 1.0× 183 1.0× 58 0.6× 38 957
Jörg Enssle Germany 11 511 0.9× 573 1.4× 188 1.0× 269 1.5× 294 3.2× 17 947
Jean-Marc Jacqué United States 11 884 1.5× 224 0.5× 216 1.1× 183 1.0× 571 6.1× 11 1.4k
Jörg Votteler Germany 11 464 0.8× 113 0.3× 243 1.3× 219 1.2× 242 2.6× 16 938
Alex Bulychev United States 4 1.0k 1.7× 207 0.5× 357 1.8× 113 0.6× 20 0.2× 7 1.3k
Carole Evelegh Canada 21 777 1.3× 793 1.9× 204 1.1× 186 1.1× 59 0.6× 28 1.4k
María Mercedes Segura Spain 14 530 0.9× 381 0.9× 155 0.8× 65 0.4× 55 0.6× 19 697
Luis Apolonia United Kingdom 15 394 0.7× 208 0.5× 183 0.9× 147 0.8× 300 3.2× 16 840
Mark C. Leavitt United States 16 583 1.0× 193 0.5× 105 0.5× 123 0.7× 204 2.2× 28 812

Countries citing papers authored by Michael A. DiMattia

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. DiMattia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. DiMattia

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

All Works

19 of 19 papers shown
1.
DiMattia, Michael A., et al.. (2025). Structural basis for a nucleoporin exportin complex between RanBP2, SUMO1-RanGAP1, the E2 Ubc9, Crm1 and the Ran GTPase. Nature Communications. 16(1). 6403–6403. 2 indexed citations
2.
McElwee, Joshua, Neelu Kaila, Samantha Carreiro, et al.. (2023). Discovery and characterization of novel inhibitors of CTP synthase 1 (CTPS1) for the treatment of autoimmune and inflammatory disease. The Journal of Immunology. 210(Supplement_1). 165.16–165.16. 2 indexed citations
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Lynch, Eric M., Michael A. DiMattia, Steven K. Albanese, et al.. (2021). Structural basis for isoform-specific inhibition of human CTPS1. Proceedings of the National Academy of Sciences. 118(40). 28 indexed citations
6.
Weick, Eva‐Maria, M Rhyan Puno, Kurt Januszyk, et al.. (2018). Helicase-Dependent RNA Decay Illuminated by a Cryo-EM Structure of a Human Nuclear RNA Exosome-MTR4 Complex. Cell. 173(7). 1663–1677.e21. 95 indexed citations
7.
DiMattia, Michael A., Norman R. Watts, Naiqian Cheng, et al.. (2016). The Structure of HIV-1 Rev Filaments Suggests a Bilateral Model for Rev-RRE Assembly. Structure. 24(7). 1068–1080. 20 indexed citations
8.
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Stahl, Stephen J., et al.. (2014). A Cell-penetrating Antibody Fragment against HIV-1 Rev Has High Antiviral Activity. Journal of Biological Chemistry. 289(29). 20222–20233. 18 indexed citations
10.
Afione, Sandra, Michael A. DiMattia, Sujata Halder, et al.. (2014). Identification and Mutagenesis of the Adeno-Associated Virus 5 Sialic Acid Binding Region. Journal of Virology. 89(3). 1660–1672. 46 indexed citations
11.
Canna, Scott, Adriana A. de Jesus, Zuoming Deng, et al.. (2014). A157: Macrophage Activation Syndrome‐like Illness Due to an Activating Mutation in NLRC4. Arthritis & Rheumatology. 66(S3). 4 indexed citations
12.
Gurda, Brittney L., Michael A. DiMattia, Edward B. Miller, et al.. (2013). Capsid Antibodies to Different Adeno-Associated Virus Serotypes Bind Common Regions. Journal of Virology. 87(16). 9111–9124. 101 indexed citations
13.
Govindasamy, L., Michael A. DiMattia, Brittney L. Gurda, et al.. (2013). Structural Insights into Adeno-Associated Virus Serotype 5. Journal of Virology. 87(20). 11187–11199. 76 indexed citations
14.
DiMattia, Michael A., Norman R. Watts, Stephen J. Stahl, et al.. (2012). Antigenic Switching of Hepatitis B Virus by Alternative Dimerization of the Capsid Protein. Structure. 21(1). 133–142. 56 indexed citations
15.
DiMattia, Michael A., Hyun-Joo Nam, Kim Van Vliet, et al.. (2012). Structural Insight into the Unique Properties of Adeno-Associated Virus Serotype 9. Journal of Virology. 86(12). 6947–6958. 168 indexed citations
16.
Stahl, Stephen J., Norman R. Watts, Christoph Rader, et al.. (2010). Generation and Characterization of a Chimeric Rabbit/Human Fab for Co-Crystallization of HIV-1 Rev. Journal of Molecular Biology. 397(3). 697–708. 29 indexed citations
17.
Gurda, Brittney L., Kristin N. Parent, Robert S. Sinkovits, et al.. (2010). Human Bocavirus Capsid Structure: Insights into the Structural Repertoire of the Parvoviridae. Journal of Virology. 84(12). 5880–5889. 73 indexed citations
18.
DiMattia, Michael A., Norman R. Watts, Stephen J. Stahl, et al.. (2010). Implications of the HIV-1 Rev dimer structure at 3.2 Å resolution for multimeric binding to the Rev response element. Proceedings of the National Academy of Sciences. 107(13). 5810–5814. 107 indexed citations
19.
DiMattia, Michael A., L. Govindasamy, Hazel C. Levy, et al.. (2005). Production, purification, crystallization and preliminary X-ray structural studies of adeno-associated virus serotype 5. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 61(10). 917–921. 37 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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