Derik E. Haggard

1.0k citations
21 papers · 756 · h-index 12

Impact in

Papers in

Derik E. Haggard

20 papers receiving 743 citations

Peers

Derik E. Haggard
Comparison fields: 5 of 97
  • Health, Toxicology and Mutagenesis 424
  • Small Animals 102
  • Pollution 119
  • Computational Theory and Mathematics 118
  • Biophysics 36
Replace Magdalini Sachana with:
Magdalini Sachana United Kingdom
Jui‐Hua Hsieh United States
Ram Ramabhadran United States
Jorge M. Naciff United States
Joop de Knecht Netherlands
Albane le Maire France
Nikolai L. Chepelev Canada
Fred Parham United States
Parth Kothiya United States
Chun‐Yang Fan China
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Citations per field
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Magdalini Sachana · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Derik E. Haggard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Derik E. Haggard Line = papers co-authored together Derik E. Haggard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015236
2 2021120
3 201695
4 201969
5 201645
6 201739
7 202027
8 201826
9 201916
10 201915
11 202315
12 201613
13 202211
14 202410
15 20246
16 20196
17 20223
18 20242
19 20251
20 20251

About Derik E. Haggard

Derik E. Haggard is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics, Molecular Biology, Small Animals and Cell Biology, having authored 21 papers that have together received 756 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Animal testing and alternatives (5 papers), Environmental Toxicology and Ecotoxicology (4 papers), Cell Image Analysis Techniques (3 papers), Zebrafish Biomedical Research Applications (3 papers), Molecular Biology Techniques and Applications (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (424 citations), Small Animals (102 citations), Pollution (119 citations), Computational Theory and Mathematics (118 citations) and Biophysics (36 citations). Derik E. Haggard has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent 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 Katie Paul Friedman. Their work appears in journals such as Toxicological Sciences, Toxicology, Current Opinion in Toxicology, Chemical Research in Toxicology and Toxicology and Applied Pharmacology.

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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