Rachel Huddart

2.1k citations
14 papers · 1.0k indexed · 1 hit paper · h-index 11
Topics
Pharmacogenetics and Drug Metabolism (7 papers)Biomedical Text Mining and Ontologies (3 papers)Pharmaceutical studies and practices (3 papers)

In The Last Decade

Rachel Huddart

14 papers receiving 983 citations

Hit Papers

An Evidence‐Based Framework for Evaluating Pharmacogenomi...20212026202220242021100200300400

Peers

Rachel Huddart
Comparison fields: 5 of 108
  • Pharmacology 385
  • Molecular Biology 349
  • Genetics 279
  • Pediatrics, Perinatology and Child Health 189
  • Pharmacology 132
Replace Amy Price with:
Amy Price United Kingdom
Miriam Saiz‐Rodríguez Spain
Russell Gotschall United States
Fengxiang Yan China
Alex Hemeryck Belgium
Ryoko Yoshida Japan
Evan T. Ogburn United States
Yuan Ming Di Australia
D Hochstrasser Switzerland
Rachel J. Church United States
Rachel Huddart relative to Amy Price United Kingdom Amy Price's profile →
Citations per field
00.5×3.4×
Amy Price · 1×
Citations per year

Countries citing papers authored by Rachel Huddart

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Huddart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Huddart

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 22
2 1
3
An Evidence‐Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicinebreakdown →
410
4 53
5 7
6 104
7 8
8 27
9 12
10 40
11 27
12 15
13 97
14 180

About Rachel Huddart

Rachel Huddart is a scholar working on Pharmacology, Toxicology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Biomedical Text Mining and Ontologies (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Pharmacology (385 citations), Genetics (279 citations) and Pediatrics, Perinatology and Child Health (189 citations). Rachel Huddart has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Teri E. Klein, Michelle Whirl‐Carrillo, Katrin Sangkuhl, Ryan Whaley, Li Gong, Caroline F. Thorn, Russ B. Altman, Alison E. Fohner, Alan J. Mileham and Daniel F. Carlson. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Pharmacogenetics and Genomics and Transgenic Research.

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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