Brian Mattioni

445 total citations
13 papers, 323 citations indexed

About

Brian Mattioni is a scholar working on Computational Theory and Mathematics, Genetics and Organic Chemistry. According to data from OpenAlex, Brian Mattioni has authored 13 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 3 papers in Genetics and 2 papers in Organic Chemistry. Recurrent topics in Brian Mattioni's work include Computational Drug Discovery Methods (8 papers), Estrogen and related hormone effects (2 papers) and Genetic Syndromes and Imprinting (1 paper). Brian Mattioni is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Estrogen and related hormone effects (2 papers) and Genetic Syndromes and Imprinting (1 paper). Brian Mattioni collaborates with scholars based in United States and Spain. Brian Mattioni's co-authors include Peter C. Jurs, David T. Stanton, Gregory W. Kauffman, Greg M. Pearl, Laura Custer, Stephen K. Durham, Douglas C. Beshore, James W. Hall, Mark Castanares and Joseph Culberson and has published in prestigious journals such as Cancer Research, Journal of Medicinal Chemistry and Journal of Chemical Education.

In The Last Decade

Brian Mattioni

13 papers receiving 302 citations

Peers

Brian Mattioni

CTM

SPECT

Kathrin Heikamp Germany

J. Matthew Wood United Kingdom

Sergii Novotarskyi Germany

Anu Manhas India

Julian Ivanov United States

Stephane Rodde Switzerland

Dingfan Zhang China

Robert A. Lipper United States

María Gálvez-Llompart Spain

Jason Mustakis United States

Kathrin Heikamp Germany

Brian Mattioni

361 ×1.9

CTM

278 ×3.2

126 ×1.5

52 ×0.7

46 ×1.0

SPECT

Citations per year, relative to Brian Mattioni Brian Mattioni (= 1×) peers Kathrin Heikamp

Countries citing papers authored by Brian Mattioni

Since Specialization

Citations

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

Fields of papers citing papers by Brian Mattioni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Mattioni

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Mur, Cecilia, W K Shen, Carlos Marugán, et al.. (2023). 41P Preclinical characterization of imlunestrant, an oral brain-penetrant selective estrogen receptor degrader with activity in a brain metastasis (BM) model. ESMO Open. 8(1). 101265–101265. 1 indexed citations

Wang, Xiaojun, Yanping Xu, Asim Dey, et al.. (2022). Effects of pharmacological inhibition of the sodium‐dependent phosphate cotransporter 2b (NPT2b) on intestinal phosphate absorption in mouse and rat models. Pharmacology Research & Perspectives. 10(2). e00938–e00938. 4 indexed citations

Bhagwat, Shripad V., Baohui Zhao, Weihua Shen, et al.. (2021). Abstract 1236: Preclinical characterization of LY3484356, a novel, potent and orally bioavailable selective estrogen receptor degrader (SERD). Cancer Research. 81(13_Supplement). 1236–1236. 18 indexed citations

Sanders, John M., Douglas C. Beshore, Joseph Culberson, et al.. (2017). Informing the Selection of Screening Hit Series with in Silico Absorption, Distribution, Metabolism, Excretion, and Toxicity Profiles. Journal of Medicinal Chemistry. 60(16). 6771–6780. 16 indexed citations

Cramer, Jeffrey W., Brian Mattioni, & Kenneth A. Savin. (2010). Strategies for conducting ADME studies during lead generation in the drug discovery process.. PubMed. 13(12). 857–61. 2 indexed citations

Gombar, Vijay K., et al.. (2006). In Silico Metabolism Studies in Drug Discovery: Prediction of Metabolic Stability. Current Computer - Aided Drug Design. 2(2). 177–188. 5 indexed citations

Mattioni, Brian, et al.. (2004). A Laser-Pointer-Based Spectrometer for Endpoint Detection of EDTA Titrations. Journal of Chemical Education. 81(12). 1787–1787. 2 indexed citations

Stanton, David T., et al.. (2004). Development and Use of Hydrophobic Surface Area (HSA) Descriptors for Computer-Assisted Quantitative Structure−Activity and Structure−Property Relationship Studies. Journal of Chemical Information and Computer Sciences. 44(3). 1010–1023. 43 indexed citations

Stanton, David T., Brian Mattioni, James J. Knittel, & Peter C. Jurs. (2004). Development and Use of Hydrophobic Surface Area (HSA) Descriptors for Computer‐Assisted Quantitative Structure—Activity and Structure—Property Relationship Studies.. ChemInform. 35(30). 3 indexed citations

10.

Mattioni, Brian, Gregory W. Kauffman, Peter C. Jurs, et al.. (2003). Predicting the Genotoxicity of Secondary and Aromatic Amines Using Data Subsetting To Generate a Model Ensemble. Journal of Chemical Information and Computer Sciences. 43(3). 949–963. 38 indexed citations

11.

Mattioni, Brian & Peter C. Jurs. (2003). Prediction of dihydrofolate reductase inhibition and selectivity using computational neural networks and linear discriminant analysis. Journal of Molecular Graphics and Modelling. 21(5). 391–419. 36 indexed citations

12.

Mattioni, Brian & Peter C. Jurs. (2002). Prediction of Glass Transition Temperatures from Monomer and Repeat Unit Structure Using Computational Neural Networks. Journal of Chemical Information and Computer Sciences. 42(2). 232–240. 122 indexed citations

13.

Mattioni, Brian & Peter C. Jurs. (2001). Development of Quantitative Structure−Activity Relationship and Classification Models for a Set of Carbonic Anhydrase Inhibitors. Journal of Chemical Information and Computer Sciences. 42(1). 94–102. 33 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.

Explore authors with similar magnitude of impact