Matthew J. Amicucci

781 total citations
16 papers, 582 citations indexed

About

Matthew J. Amicucci is a scholar working on Nutrition and Dietetics, Molecular Biology and Food Science. According to data from OpenAlex, Matthew J. Amicucci has authored 16 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nutrition and Dietetics, 8 papers in Molecular Biology and 5 papers in Food Science. Recurrent topics in Matthew J. Amicucci's work include Microbial Metabolites in Food Biotechnology (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Polysaccharides and Plant Cell Walls (4 papers). Matthew J. Amicucci is often cited by papers focused on Microbial Metabolites in Food Biotechnology (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Polysaccharides and Plant Cell Walls (4 papers). Matthew J. Amicucci collaborates with scholars based in United States, Pakistan and China. Matthew J. Amicucci's co-authors include Carlito B. Lebrilla, Ace G. Galermo, Eshani Nandita, Gege Xu, Juan J. Castillo, Zhi Cheng, Muhammad Yasir, Bushra Sultana, Mariana Barboza and Dayoung Park and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Matthew J. Amicucci

16 papers receiving 578 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 J. Amicucci United States 12 248 206 179 179 59 16 582
Salvatore Ventura Italy 15 231 0.9× 132 0.6× 89 0.5× 174 1.0× 26 0.4× 18 658
Joaquı́n Navarro del Hierro Spain 16 269 1.1× 162 0.8× 194 1.1× 313 1.7× 53 0.9× 25 947
Ace G. Galermo United States 9 206 0.8× 174 0.8× 154 0.9× 147 0.8× 9 0.2× 11 452
Eshani Nandita United States 8 175 0.7× 154 0.7× 138 0.8× 131 0.7× 11 0.2× 11 384
Angela Maurizi Italy 10 131 0.5× 108 0.5× 114 0.6× 178 1.0× 27 0.5× 15 448
Kamalrul Azlan Azizan Malaysia 15 259 1.0× 243 1.2× 33 0.2× 87 0.5× 39 0.7× 52 639
S. Vellaikumar India 15 139 0.6× 403 2.0× 71 0.4× 147 0.8× 70 1.2× 104 646
Kurt Aitzetmüller Germany 17 349 1.4× 173 0.8× 173 1.0× 124 0.7× 21 0.4× 35 724
Eduardo Espítia-Rangel Mexico 12 190 0.8× 294 1.4× 89 0.5× 223 1.2× 25 0.4× 56 587
Marianna Oteri Italy 15 162 0.7× 64 0.3× 77 0.4× 126 0.7× 15 0.3× 35 482

Countries citing papers authored by Matthew J. Amicucci

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Amicucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Amicucci

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

All Works

16 of 16 papers shown
1.
Maldonado-Gómez, María X., Katharine M. Ng, Robnet T. Kerns, et al.. (2025). A diverse set of solubilized natural fibers drives structure-dependent metabolism and modulation of the human gut microbiota. mBio. 16(5). e0047025–e0047025. 2 indexed citations
2.
Marcobal, Ángela, et al.. (2024). Highly Soluble β-Glucan Fiber Modulates Mechanisms of Blood Glucose Regulation and Intestinal Permeability. Nutrients. 16(14). 2240–2240. 7 indexed citations
3.
Liu, Mingqi, Matthew J. Amicucci, Andrés Guerrero, et al.. (2023). GlycoNote with Iterative Decoy Searching and Open-Search Component Analysis for High-Throughput and Reliable Glycan Spectral Interpretation. Analytical Chemistry. 95(21). 8223–8231. 13 indexed citations
4.
Nandita, Eshani, et al.. (2021). Polysaccharide identification through oligosaccharide fingerprinting. Carbohydrate Polymers. 257. 117570–117570. 30 indexed citations
5.
Castillo, Juan J., Ace G. Galermo, Matthew J. Amicucci, et al.. (2021). A Multidimensional Mass Spectrometry-Based Workflow for De Novo Structural Elucidation of Oligosaccharides from Polysaccharides. Journal of the American Society for Mass Spectrometry. 32(8). 2175–2185. 12 indexed citations
6.
Stroble, Carol, Matthew J. Amicucci, Aly Diana, et al.. (2020). Examination of Carbohydrate Products in Feces Reveals Potential Biomarkers Distinguishing Exclusive and Nonexclusive Breastfeeding Practices in Infants. Journal of Nutrition. 150(5). 1051–1057. 2 indexed citations
7.
Amicucci, Matthew J., Eshani Nandita, Ace G. Galermo, et al.. (2020). A nonenzymatic method for cleaving polysaccharides to yield oligosaccharides for structural analysis. Nature Communications. 11(1). 3963–3963. 80 indexed citations
8.
Smilowitz, Jennifer T., Matthew J. Amicucci, Eshani Nandita, et al.. (2020). The Introduction of Plant-Derived Glycans in Exclusively 6-Month Old Breastfed Infants Alters Fecal Glycan Profiles and Microbial Metabolism (IMiND Study). Current Developments in Nutrition. 4. nzaa054_154–nzaa054_154. 3 indexed citations
9.
Wexler, Judith R., Emily Delaney, Xavier Bellés, et al.. (2019). Hemimetabolous insects elucidate the origin of sexual development via alternative splicing. eLife. 8. 55 indexed citations
10.
Amicucci, Matthew J., Ace G. Galermo, Eshani Nandita, et al.. (2019). Strategy for Structural Elucidation of Polysaccharides: Elucidation of a Maize Mucilage that Harbors Diazotrophic Bacteria. Analytical Chemistry. 91(11). 7254–7265. 78 indexed citations
11.
Galermo, Ace G., Eshani Nandita, Juan J. Castillo, Matthew J. Amicucci, & Carlito B. Lebrilla. (2019). Development of an Extensive Linkage Library for Characterization of Carbohydrates. Analytical Chemistry. 91(20). 13022–13031. 36 indexed citations
12.
Amicucci, Matthew J., Eshani Nandita, & Carlito B. Lebrilla. (2019). Function without Structures: The Need for In-Depth Analysis of Dietary Carbohydrates. Journal of Agricultural and Food Chemistry. 67(16). 4418–4424. 26 indexed citations
13.
Galermo, Ace G., et al.. (2018). Liquid Chromatography–Tandem Mass Spectrometry Approach for Determining Glycosidic Linkages. Analytical Chemistry. 90(21). 13073–13080. 67 indexed citations
14.
Amicucci, Matthew J., Ace G. Galermo, Eshani Nandita, et al.. (2018). A rapid-throughput adaptable method for determining the monosaccharide composition of polysaccharides. International Journal of Mass Spectrometry. 438. 22–28. 46 indexed citations
15.
Xu, Gege, Matthew J. Amicucci, Zhi Cheng, Ace G. Galermo, & Carlito B. Lebrilla. (2017). Revisiting monosaccharide analysis – quantitation of a comprehensive set of monosaccharides using dynamic multiple reaction monitoring. The Analyst. 143(1). 200–207. 80 indexed citations
16.
Yasir, Muhammad, Bushra Sultana, & Matthew J. Amicucci. (2016). Biological activities of phenolic compounds extracted from Amaranthaceae plants and their LC/ESI-MS/MS profiling. Journal of Functional Foods. 26. 645–656. 45 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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