Bruce A. Pearce

971 total citations
21 papers, 762 citations indexed

About

Bruce A. Pearce is a scholar working on Molecular Biology, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Bruce A. Pearce has authored 21 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Statistics and Probability. Recurrent topics in Bruce A. Pearce's work include Computational Drug Discovery Methods (5 papers), Statistical Methods and Bayesian Inference (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Bruce A. Pearce is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Statistical Methods and Bayesian Inference (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Bruce A. Pearce collaborates with scholars based in United States and Taiwan. Bruce A. Pearce's co-authors include R.Robert Holson, John F. Young, Richard H. Luecke, Walter D. Wosilait, Dan A. Buzatu, Richard D. Beger, Jon G. Wilkes, Hongshik Ahn, Ralph L. Kodell and Hojin Moon and has published in prestigious journals such as Molecules, Environmental Toxicology and Chemistry and Journal of Statistical Software.

In The Last Decade

Bruce A. Pearce

21 papers receiving 742 citations

Peers

Countries citing papers authored by Bruce A. Pearce

Since Specialization

Citations

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

Fields of papers citing papers by Bruce A. Pearce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruce A. Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce A. Pearce. A scholar is included among the top collaborators of Bruce A. Pearce 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 Bruce A. Pearce. Bruce A. Pearce 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

#	Work	Indexed citations
1	Thymol treatment of bacteria prior to matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometric analysis aids in identifying certain bacteria at the subspecies level 2014 ·Rapid Communications in Mass Spectrometry ·Ricky D. Holland, Jon G. Wilkes, (unknown), (unknown), A. J. Williams, Bruce A. Pearce, (unknown), Dan A. Buzatu	13
2	Complementary PLS and KNN algorithms for improved 3D-QSDAR consensus modeling of AhR binding 2013 ·Journal of Cheminformatics ·Svetoslav Slavov, Bruce A. Pearce, Dan A. Buzatu, Jon G. Wilkes, Richard D. Beger	11
3	Modeling Chemical Interaction Profiles: II. Molecular Docking, Spectral Data-Activity Relationship, and Structure-Activity Relationship Models for Potent and Weak Inhibitors of Cytochrome P450 CYP3A4 Isozyme 2012 ·Molecules ·Yunfeng Tie, Brooks McPhail, Huixiao Hong, Bruce A. Pearce, Laura K. Schnackenberg, Weigong Ge, Dan A. Buzatu, Jon G. Wilkes, James C. Fuscoe, Weida Tong, Bruce A. Fowler, Richard D. Beger, Eugene Demchuk	19
4	Modeling Chemical Interaction Profiles: I. Spectral Data-Activity Relationship and Structure-Activity Relationship Models for Inhibitors and Non-inhibitors of Cytochrome P450 CYP3A4 and CYP2D6 Isozymes 2012 ·Molecules ·Brooks McPhail, Yunfeng Tie, Huixiao Hong, Bruce A. Pearce, Laura K. Schnackenberg, Weigong Ge, Luis G. Valerio, James C. Fuscoe, Weida Tong, Dan A. Buzatu, Jon G. Wilkes, Bruce A. Fowler, Eugene Demchuk, Richard D. Beger	13
5	¹³C NMR–Distance Matrix Descriptors: Optimal Abstract 3D Space Granularity for Predicting Estrogen Binding 2012 ·Journal of Chemical Information and Modeling ·Svetoslav Slavov, (unknown), Bruce A. Pearce, Laura K. Schnackenberg, Dan A. Buzatu, Jon G. Wilkes, Richard D. Beger	6
6	Improving proton MR spectroscopy of brain tissue for noninvasive diagnostics 2010 ·Journal of Magnetic Resonance Imaging ·(unknown), (unknown), Bruce A. Pearce, Richard D. Beger, Ryan M. Kretzer, Dan A. Buzatu, Jon G. Wilkes	11
7	Human Organ/Tissue Growth Algorithms that Include Obese Individuals and Black/White Population Organ Weight Similarities from Autopsy Data 2009 ·Journal of Toxicology and Environmental Health ·John F. Young, Richard H. Luecke, Bruce A. Pearce, Taewon Lee, Hongshik Ahn, Songjoon Baek, Hojin Moon, Daniel W. Dye, Thomas M. Davis, (unknown)	53
8	A model-free ensemble method for class prediction with application to biomedical decision making 2008 ·Artificial Intelligence in Medicine ·Ralph L. Kodell, Bruce A. Pearce, Songjoon Baek, Hojin Moon, Hongshik Ahn, John F. Young, James J. Chen	12
9	Windows based general PBPK/PD modeling software 2008 ·Computers in Biology and Medicine ·Richard H. Luecke, Bruce A. Pearce, Walter D. Wosilait, Daniel R. Doerge, William Slikker, John F. Young	11
10	Postnatal Growth Considerations for PBPK Modeling 2007 ·Journal of Toxicology and Environmental Health ·Richard H. Luecke, Bruce A. Pearce, Walter D. Wosilait, William Slikker, John F. Young	17
11	A Computational Tool for Testing Dose-Related Trend Using an Age-Adjusted Bootstrap-Based Poly-kTest 2006 ·Journal of Statistical Software ·Ho‐Jin Moon, Ralph L. Kodell, Bruce A. Pearce, Hongshik Ahn	9
12	BUILDING AN ORGAN-SPECIFIC CARCINOGENIC DATABASE FOR SAR ANALYSES 2004 ·Journal of Toxicology and Environmental Health ·John F. Young, Weida Tong, Hong Fang, Qian Xie, Bruce A. Pearce, Ray R. Hashemi, Richard D. Beger, M Cheeseman, James J. Chen, Yuan‐chin Ivan Chang, Ralph L. Kodell	13
13	A comparison of a mixture likelihood method and the EM algorithm for an estimation problem in animal carcinogenicity studies 1999 ·Computational Statistics & Data Analysis ·Hojin Moon, Hongshik Ahn, Ralph L. Kodell, Bruce A. Pearce	2
14	A computer model and program for xenobiotic disposition during pregnancy 1997 ·Computer Methods and Programs in Biomedicine ·Richard H. Luecke, Walter D. Wosilait, Bruce A. Pearce, John F. Young	26
15	An Age-Adjusted Trend Test for the Tumor Incidence Rate for Single-Sacrifice Experiments 1997 ·Drug Information Journal ·Ralph L. Kodell, Bruce A. Pearce, Angelo Turturro, Hongshik Ahn	8
16	Significance Levels of Randomization Trend Tests in the Event of Rare Occurrences 1997 ·Biometrical Journal ·James J. Chen, Ralph L. Kodell, Bruce A. Pearce	7
17	A rough-genetic approach for classification of complex data 1996 ·(unknown), Bruce A. Pearce, Ramin B. Arani, William G. Hinson, Merle G. Paule	1
18	A physiologically based pharmacokinetic computer model for human pregnancy 1994 ·Teratology ·Richard H. Luecke, Walter D. Wosilait, Bruce A. Pearce, John F. Young	69
19	IQ Estimation of Monkeys Based on Human Data Using Rough Sets 1994 ·Ray R. Hashemi, Bruce A. Pearce, William G. Hinson, (unknown), Merle G. Paule	3
20	Principles and pitfalls in the analysis of prenatal treatment effects in multiparous species 1992 ·Neurotoxicology and Teratology ·R.Robert Holson, Bruce A. Pearce	444

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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