Woodrow Burchett

1.7k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Woodrow Burchett is a scholar working on Pharmacology, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Woodrow Burchett has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Statistics and Probability and 5 papers in Molecular Biology. Recurrent topics in Woodrow Burchett's work include Pharmacogenetics and Drug Metabolism (7 papers), Computational Drug Discovery Methods (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Woodrow Burchett is often cited by papers focused on Pharmacogenetics and Drug Metabolism (7 papers), Computational Drug Discovery Methods (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Woodrow Burchett collaborates with scholars based in United States, Austria and Germany. Woodrow Burchett's co-authors include Patrick Breheny, Amanda R. Ellis, Solomon W. Harrar, Arne C. Bathke, Philip M. Westgate, Li Di, Sangwoo Ryu, Jonathan J. Novak, Christopher Keefer and Keith Riccardi and has published in prestigious journals such as Environmental Science & Technology, Statistics in Medicine and Journal of Computational Chemistry.

In The Last Decade

Woodrow Burchett

19 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Visualization of Regression Models Using visreg

2017 768 citations Patrick Breheny, Woodrow Burchett The R Journal profile →

Peers

Countries citing papers authored by Woodrow Burchett

Since Specialization

Citations

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

Fields of papers citing papers by Woodrow Burchett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woodrow Burchett

This figure shows the co-authorship network connecting the top 25 collaborators of Woodrow Burchett. A scholar is included among the top collaborators of Woodrow Burchett 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 Woodrow Burchett. Woodrow Burchett 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Applications of contemporary tools to measure plasma protein binding of targeted protein degraders 2025 ·Drug Metabolism and Disposition ·Mark Niosi, Sam Zhang, Woodrow Burchett, (unknown), Gilles H. Goetz, (unknown), (unknown), (unknown), A. Gilbert, Matthew F. Calabrese, R. Scott Obach, Stefanus J. Steyn	0
2	Novel Multiplexed High Throughput Screening of Selective Inhibitors for Drug-Metabolizing Enzymes Using Human Hepatocytes 2024 ·The AAPS Journal ·Jianhua Liu, (unknown), (unknown), Anthony Carlo, Woodrow Burchett, (unknown), (unknown), Joy C. Yang, Ye Che, George Chang, Matthew D. Troutman, Li Di	3
3	Species-Specific Unbound Fraction Differences in Highly Bound PFAS: A Comparative Study across Human, Rat, and Mouse Plasma and Albumin 2024 ·Toxics ·Sangwoo Ryu, Woodrow Burchett, Sam Zhang, Seyed Mohamad Sadegh Modaresi, (unknown), (unknown), Fabian C. Fischer, Angela L. Slitt	5
4	Unbound Fractions of PFAS in Human and Rodent Tissues: Rat Liver a Suitable Proxy for Evaluating Emerging PFAS? 2024 ·Environmental Science & Technology ·Sangwoo Ryu, Woodrow Burchett, Sam Zhang, (unknown), Seyed Mohamad Sadegh Modaresi, (unknown), David Rodrigues, Hao Zhu, Elsie M. Sunderland, Fabian C. Fischer, Angela L. Slitt	7
5	Comparison of Tumor Binding Across Tumor Types and Cell Lines to Support Free Drug Considerations for Oncology Drug Discovery 2023 ·Journal of Pharmaceutical Sciences ·(unknown), Sangwoo Ryu, Woodrow Burchett, Carl D. Davis, Rhys D.O. Jones, Sam Zhang, (unknown), George Chang, Li Di	1
6	An Improved Method for Cytochrome P450 Reaction Phenotyping Using a Sequential Qualitative-Then-Quantitative Approach 2022 ·Drug Metabolism and Disposition ·Angela C. Doran, Alyssa Dantonio, (unknown), (unknown), (unknown), Woodrow Burchett, Theunis C. Goosen, R. Scott Obach	7
7	Defining the Selectivity of Chemical Inhibitors Used for Cytochrome P450 Reaction Phenotyping: Overcoming Selectivity Limitations with a Six-Parameter Inhibition Curve-Fitting Approach 2022 ·Drug Metabolism and Disposition ·Angela C. Doran, Woodrow Burchett, (unknown), (unknown), (unknown), Heather Eng, Alyssa Dantonio, Theunis C. Goosen, R. Scott Obach	15
8	Selecting Approaches for Hit Identification and Increasing Options by Building the Efficient Discovery of Actionable Chemical Matter from DNA-Encoded Libraries 2021 ·SLAS DISCOVERY ·Timothy L. Foley, Woodrow Burchett, Qiuxia Chen, Mark E. Flanagan, (unknown), Xian-Yang Li, Justin I. Montgomery, Anokha S. Ratnayake, Hongyao Zhu, Marie‐Claire Peakman	28
9	Effects of low temperature on blood‐to‐plasma ratio measurement 2021 ·Biopharmaceutics & Drug Disposition ·Jonathan J. Novak, Woodrow Burchett, Li Di	9
10	Evaluation of Prediction Accuracy for Volume of Distribution in Rat and Human Using In Vitro, In Vivo, PBPK and QSAR Methods 2020 ·Journal of Pharmaceutical Sciences ·(unknown), David A. Tess, Woodrow Burchett, George Chang, Nathaniel A. Woody, Christopher Keefer, Christine C. Orozco, Jian Lin, (unknown), Shinji Yamazaki, Rhys D.O. Jones, Li Di	20
11	Applying Two Orthogonal Methods to Assess Accuracy of Plasma Protein Binding Measurements for Highly Bound Compounds 2019 ·Journal of Pharmaceutical Sciences ·Sangwoo Ryu, Keith Riccardi, (unknown), (unknown), Woodrow Burchett, Li Di	13
12	Evaluation of Fraction Unbound Across 7 Tissues of 5 Species 2019 ·Journal of Pharmaceutical Sciences ·Sangwoo Ryu, David A. Tess, George Chang, Christopher Keefer, Woodrow Burchett, (unknown), Jonathan J. Novak, (unknown), Karen Atkinson, Keith Riccardi, Li Di	23
13	Optimal designs for pairwise calculation: An application to free energy perturbation in minimizing prediction variability 2019 ·Journal of Computational Chemistry ·Qingyi Yang, Woodrow Burchett, (unknown), (unknown), Mingjun Yang, David L. Mobley, Xinjun Hou	22
14	On the analysis of very small samples of Gaussian repeated measurements: an alternative approach 2017 ·Statistics in Medicine ·Philip M. Westgate, Woodrow Burchett	3
15	Differentiating gold nanorod samples using particle size and shape distributions from transmission electron microscope images 2017 ·Metrologia ·Eric A. Grulke, Xiaochun Wu, Yinglu Ji, Egbert Buhr, Kazuhiro Yamamoto, Nam Woong Song, Aleksandr B. Stefaniak, Diane Schwegler‐Berry, Woodrow Burchett, Joshua Lambert, Arnold J. Stromberg	16
16	Nonparametric Inference for Multivariate Data: The R Package npmv 2017 ·Journal of Statistical Software ·Woodrow Burchett, Amanda R. Ellis, Solomon W. Harrar, Arne C. Bathke	134
17	Visualization of Regression Models Using visreg breakdown → 2017 ·The R Journal ·Patrick Breheny, Woodrow Burchett	768
18	Improving power in small‐sample longitudinal studies when using generalized estimating equations 2016 ·Statistics in Medicine ·Philip M. Westgate, Woodrow Burchett	16
19	A Comparison of Correlation Structure Selection Penalties for Generalized Estimating Equations 2016 ·The American Statistician ·Philip M. Westgate, Woodrow Burchett	10
20	Effect of a Novel Engagement Strategy Using Twitter on Test Performance 2015 ·Western Journal of Emergency Medicine ·(unknown), Adam Dugan, Woodrow Burchett, Kelly R. Barnett, (unknown), (unknown), Mark Silverberg, Christopher Doty, (unknown), (unknown)	18

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