Derik E. Haggard

1.0k total citations
21 papers, 756 citations indexed

About

Derik E. Haggard is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Derik E. Haggard has authored 21 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 11 papers in Computational Theory and Mathematics and 8 papers in Molecular Biology. Recurrent topics in Derik E. Haggard's work include Computational Drug Discovery Methods (11 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Animal testing and alternatives (5 papers). Derik E. Haggard is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Animal testing and alternatives (5 papers). Derik E. Haggard collaborates with scholars based in United States, Ireland and United Kingdom. Derik E. Haggard's co-authors include Robert L. Tanguay, Pamela D. Noyes, Richard Judson, Joshua Harrill, Imran Shah, Russell S. Thomas, R. Woodrow Setzer, Logan J. Everett, Clinton Willis and Katrina M. Waters and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Pollution.

In The Last Decade

Derik E. Haggard

20 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derik E. Haggard United States 12 424 218 119 118 102 21 756
Fred Parham United States 19 556 1.3× 429 2.0× 151 1.3× 124 1.1× 136 1.3× 32 1.2k
Jui‐Hua Hsieh United States 22 534 1.3× 415 1.9× 97 0.8× 290 2.5× 188 1.8× 54 1.3k
Ram Ramabhadran United States 13 314 0.7× 423 1.9× 97 0.8× 53 0.4× 39 0.4× 21 931
Magdalini Sachana France 20 359 0.8× 280 1.3× 114 1.0× 152 1.3× 174 1.7× 37 1.1k
Jorge M. Naciff United States 23 383 0.9× 486 2.2× 45 0.4× 185 1.6× 136 1.3× 35 1.2k
Joop de Knecht Netherlands 6 213 0.5× 105 0.5× 95 0.8× 147 1.2× 136 1.3× 16 598
Nikolai L. Chepelev Canada 17 332 0.8× 424 1.9× 75 0.6× 86 0.7× 68 0.7× 26 937
Albane le Maire France 17 824 1.9× 742 3.4× 187 1.6× 129 1.1× 39 0.4× 29 1.8k
Chun‐Yang Fan China 8 240 0.6× 247 1.1× 77 0.6× 42 0.4× 35 0.3× 17 583
Martin Paparella Italy 15 231 0.5× 329 1.5× 47 0.4× 54 0.5× 150 1.5× 34 738

Countries citing papers authored by Derik E. Haggard

Since Specialization
Citations

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

Fields of papers citing papers by Derik E. Haggard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derik E. Haggard. 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 Derik E. Haggard. The network helps show where Derik E. Haggard may publish in the future.

Co-authorship network of co-authors of Derik E. Haggard

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

All Works

20 of 20 papers shown
1.
Willis, Clinton, Derik E. Haggard, Joseph L. Bundy, et al.. (2025). Incorporating Metabolic Competence into High-Throughput Profiling Assays. Toxicological Sciences. 206(2). 313–329. 1 indexed citations
2.
Willis, Clinton, et al.. (2025). Assessing the impact of in vitro xenobiotic metabolism on estrogenic chemical bioactivity in high-throughput profiling assays. Toxicology. 517. 154215–154215. 1 indexed citations
3.
Willis, Clinton, Richard Judson, Logan J. Everett, et al.. (2025). TempO-seq and RNA-seq gene expression levels are highly correlated for most genes: A comparison using 39 human cell lines. PLoS ONE. 20(5). e0320862–e0320862.
4.
Harrill, Joshua, Logan J. Everett, Derik E. Haggard, et al.. (2024). Signature analysis of high-throughput transcriptomics screening data for mechanistic inference and chemical grouping. Toxicological Sciences. 202(1). 103–122. 10 indexed citations
5.
Bundy, Joseph L., Logan J. Everett, Johanna Nyffeler, et al.. (2024). High-Throughput Transcriptomics Screen of ToxCast Chemicals in U-2 OS Cells. Toxicology and Applied Pharmacology. 491. 117073–117073. 6 indexed citations
6.
Haggard, Derik E., et al.. (2024). An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment. Integrated Environmental Assessment and Management. 20(6). 2203–2217. 2 indexed citations
7.
Harrill, Joshua, Logan J. Everett, Derik E. Haggard, et al.. (2023). Exploring the effects of experimental parameters and data modeling approaches on in vitro transcriptomic point-of-departure estimates. Toxicology. 501. 153694–153694. 15 indexed citations
8.
Patlewicz, Grace, et al.. (2022). Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis. Computational Toxicology. 24. 100245–100245. 3 indexed citations
9.
Shah, Imran, Joseph L. Bundy, Logan J. Everett, et al.. (2022). Navigating Transcriptomic Connectivity Mapping Workflows to Link Chemicals with Bioactivities. Chemical Research in Toxicology. 35(11). 1929–1949. 11 indexed citations
10.
Harrill, Joshua, Logan J. Everett, Derik E. Haggard, et al.. (2021). High-Throughput Transcriptomics Platform for Screening Environmental Chemicals. Toxicological Sciences. 181(1). 68–89. 120 indexed citations
11.
Nyffeler, Johanna, Derik E. Haggard, Clinton Willis, et al.. (2020). Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data. SLAS DISCOVERY. 26(2). 292–308. 27 indexed citations
12.
Harrill, Joshua, Imran Shah, R. Woodrow Setzer, et al.. (2019). Considerations for strategic use of high-throughput transcriptomics chemical screening data in regulatory decisions. Current Opinion in Toxicology. 15. 64–75. 69 indexed citations
13.
Haggard, Derik E., R. Woodrow Setzer, Richard Judson, & Katie Paul Friedman. (2019). Development of a prioritization method for chemical-mediated effects on steroidogenesis using an integrated statistical analysis of high-throughput H295R data. Regulatory Toxicology and Pharmacology. 109. 104510–104510. 15 indexed citations
14.
Chatterjee, Paroma, et al.. (2019). Otoferlin Depletion Results in Abnormal Synaptic Ribbons and Altered Intracellular Calcium Levels in Zebrafish. Scientific Reports. 9(1). 14273–14273. 6 indexed citations
15.
Pham, Ly, Thomas Sheffield, Prachi Pradeep, et al.. (2019). Estimating uncertainty in the context of new approach methodologies for potential use in chemical safety evaluation. Current Opinion in Toxicology. 15. 40–47. 16 indexed citations
16.
Haggard, Derik E., Pamela D. Noyes, Katrina M. Waters, & Robert L. Tanguay. (2018). Transcriptomic and phenotypic profiling in developing zebrafish exposed to thyroid hormone receptor agonists. Reproductive Toxicology. 77. 80–93. 26 indexed citations
17.
Haggard, Derik E., Pamela D. Noyes, Katrina M. Waters, & Robert L. Tanguay. (2016). Phenotypically anchored transcriptome profiling of developmental exposure to the antimicrobial agent, triclosan, reveals hepatotoxicity in embryonic zebrafish. Toxicology and Applied Pharmacology. 308. 32–45. 45 indexed citations
18.
Chen, Jiangfei, Robert L. Tanguay, Yanyan Xiao, et al.. (2016). TBBPA exposure during a sensitive developmental window produces neurobehavioral changes in larval zebrafish. Environmental Pollution. 216. 53–63. 95 indexed citations
19.
Haggard, Derik E., Siba R. Das, & Robert L. Tanguay. (2016). Comparative Toxicogenomic Responses to the Flame Retardant mITP in Developing Zebrafish. Chemical Research in Toxicology. 30(2). 508–515. 13 indexed citations
20.

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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