Peter A. DiMaggio

2.7k total citations
45 papers, 1.6k citations indexed

About

Peter A. DiMaggio is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Peter A. DiMaggio has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Spectroscopy and 7 papers in Computational Theory and Mathematics. Recurrent topics in Peter A. DiMaggio's work include Epigenetics and DNA Methylation (12 papers), Mass Spectrometry Techniques and Applications (10 papers) and Genomics and Chromatin Dynamics (10 papers). Peter A. DiMaggio is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Mass Spectrometry Techniques and Applications (10 papers) and Genomics and Chromatin Dynamics (10 papers). Peter A. DiMaggio collaborates with scholars based in United States, United Kingdom and Germany. Peter A. DiMaggio's co-authors include Benjamin A. García, Christodoulos A. Floudas, Nicolas L. Young, Richard C. Baliban, Barry M. Zee, Mariana D. Plazas-Mayorca, Rebecca S. Levin, Gary LeRoy, Andrés Blanco and Hilary A. Coller and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Peter A. DiMaggio

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter A. DiMaggio United States	22	1.2k	378	102	93	81	45	1.6k
Luis Mendoza United States	17	1.6k 1.3×	1.1k 3.0×	20 0.2×	122 1.3×	36 0.4×	34	2.1k
Tammy‐Lynn Tremblay Canada	15	610 0.5×	172 0.5×	12 0.1×	80 0.9×	57 0.7×	28	1.0k
Andreas Zanzoni France	19	1.4k 1.1×	96 0.3×	11 0.1×	41 0.4×	90 1.1×	33	1.6k
Michael D. Scholle United States	18	1.2k 0.9×	84 0.2×	11 0.1×	194 2.1×	39 0.5×	27	1.6k
Hampapathalu Adimurthy Nagarajaram India	23	1.3k 1.0×	165 0.4×	8 0.1×	66 0.7×	64 0.8×	69	1.9k
Dattatreya Mellacheruvu United States	14	1.7k 1.3×	692 1.8×	7 0.1×	205 2.2×	122 1.5×	19	2.2k
Sanne Abeln Netherlands	19	738 0.6×	53 0.1×	26 0.3×	47 0.5×	108 1.3×	61	1.1k
J. Young United Kingdom	23	1.2k 1.0×	446 1.2×	7 0.1×	199 2.1×	135 1.7×	57	2.5k
Adam D. Catherman United States	18	1.2k 1.0×	1.3k 3.5×	10 0.1×	67 0.7×	40 0.5×	22	1.8k
I. V. Smirnov Russia	20	970 0.8×	44 0.1×	28 0.3×	84 0.9×	52 0.6×	92	1.6k

Countries citing papers authored by Peter A. DiMaggio

Since Specialization

Citations

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

Fields of papers citing papers by Peter A. DiMaggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter A. DiMaggio

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

All Works

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20 of 20 papers shown

Lukauskas, Saulius, Andrey Tvardovskiy, Nhuong V. Nguyen, et al.. (2024). Decoding chromatin states by proteomic profiling of nucleosome readers. Nature. 627(8004). 671–679. 27 indexed citations

Trainor, Nicole, et al.. (2024). Tracking DOT1L methyltransferase activity by stable isotope labelling using a selective synthetic co-factor. Communications Chemistry. 7(1). 145–145. 1 indexed citations

Inguva, Pavan, Wenqian Chen, Nicholaus Prasetya, et al.. (2020). Accelerating Students’ Learning of Chromatography with an Experiential Module on Process Development and Scaleup. Journal of Chemical Education. 97(4). 1001–1007. 17 indexed citations

Kalesh, Karunakaran, Saulius Lukauskas, Aaron J. Borg, et al.. (2019). An Integrated Chemical Proteomics Approach for Quantitative Profiling of Intracellular ADP-Ribosylation. Scientific Reports. 9(1). 6655–6655. 24 indexed citations

Kostrzewski, Tomasz, Aaron J. Borg, Yiran Meng, et al.. (2018). Multiple Levels of Control Determine How E4bp4/Nfil3 Regulates NK Cell Development. The Journal of Immunology. 200(4). 1370–1381. 28 indexed citations

Ding, Shuai, Gigliola Zanghì, Valérie Soulard, et al.. (2016). Plasmodium falciparum PfSET7: enzymatic characterization and cellular localization of a novel protein methyltransferase in sporozoite, liver and erythrocytic stage parasites. Scientific Reports. 6(1). 21802–21802. 28 indexed citations

O’Connor, Christine M., Peter A. DiMaggio, Thomas Shenk, & Benjamin A. García. (2014). Quantitative Proteomic Discovery of Dynamic Epigenome Changes that Control Human Cytomegalovirus (HCMV) Infection. Molecular & Cellular Proteomics. 13(9). 2399–2410. 24 indexed citations

Bartke, Till, Julie Borgel, & Peter A. DiMaggio. (2013). Proteomics in epigenetics: new perspectives for cancer research. Briefings in Functional Genomics. 12(3). 205–218. 28 indexed citations

LeRoy, Gary, Iouri Chepelev, Peter A. DiMaggio, et al.. (2012). Proteogenomic characterization and mapping of nucleosomes decoded by Brd and HP1 proteins. Genome biology. 13(8). R68–R68. 72 indexed citations

10.

Yu, Yongxin, Chunying Song, Qiongyi Zhang, et al.. (2012). Histone H3 Lysine 56 Methylation Regulates DNA Replication through Its Interaction with PCNA. Molecular Cell. 46(1). 7–17. 97 indexed citations

11.

Plazas-Mayorca, Mariana D., Joshua S. Bloom, Ulrike Zeißler, et al.. (2010). Quantitative proteomics reveals direct and indirect alterations in the histone code following methyltransferase knockdown. Molecular BioSystems. 6(9). 1719–1729. 29 indexed citations

12.

Baliban, Richard C., Peter A. DiMaggio, Mariana D. Plazas-Mayorca, et al.. (2010). A Novel Approach for Untargeted Post-translational Modification Identification Using Integer Linear Optimization and Tandem Mass Spectrometry. Molecular & Cellular Proteomics. 9(5). 764–779. 39 indexed citations

13.

Young, Nicolas L., Peter A. DiMaggio, & Benjamin A. García. (2010). The significance, development and progress of high-throughput combinatorial histone code analysis. Cellular and Molecular Life Sciences. 67(23). 3983–4000. 83 indexed citations

14.

DiMaggio, Peter A., et al.. (2010). A Novel Framework for Predicting In Vivo Toxicities from In Vitro Data Using Optimal Methods for Dense and Sparse Matrix Reordering and Logistic Regression. Toxicological Sciences. 118(1). 251–265. 13 indexed citations

15.

DiMaggio, Peter A., et al.. (2009). Selecting High Quality Protein Structures from Diverse Conformational Ensembles. Biophysical Journal. 97(6). 1728–1736. 13 indexed citations

16.

Young, Nicolas L., Peter A. DiMaggio, Mariana D. Plazas-Mayorca, et al.. (2009). High Throughput Characterization of Combinatorial Histone Codes. Molecular & Cellular Proteomics. 8(10). 2266–2284. 248 indexed citations

17.

DiMaggio, Peter A., Nicolas L. Young, Richard C. Baliban, Benjamin A. García, & Christodoulos A. Floudas. (2009). A Mixed Integer Linear Optimization Framework for the Identification and Quantification of Targeted Post-translational Modifications of Highly Modified Proteins Using Multiplexed Electron Transfer Dissociation Tandem Mass Spectrometry. Molecular & Cellular Proteomics. 8(11). 2527–2543. 73 indexed citations

18.

DiMaggio, Peter A., Christodoulos A. Floudas, Bingwen Lu, & John R. Yates. (2008). A Hybrid Method for Peptide Identification Using Integer Linear Optimization, Local Database Search, and Quadrupole Time-of-Flight or OrbiTrap Tandem Mass Spectrometry. Journal of Proteome Research. 7(4). 1584–1593. 17 indexed citations

19.

DiMaggio, Peter A., et al.. (2008). Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies. BMC Bioinformatics. 9(1). 458–458. 43 indexed citations

20.

DiMaggio, Peter A. & Christodoulos A. Floudas. (2006). A mixed‐integer optimization framework for de novo peptide identification. AIChE Journal. 53(1). 160–173. 8 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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