Rachael Instrell

1.1k citations
10 papers · 480 · h-index 6

Impact in

  • Parasitology top 10%
    • Toxoplasma gondii Research Studies
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Signaling Pathways in Disease 2
    • DNA Repair Mechanisms 2
    • RNA Interference and Gene Delivery 2
    • CRISPR and Genetic Engineering 2
    • Peptidase Inhibition and Analysis 2
    • HER2/EGFR in Cancer Research 2

Rachael Instrell

9 papers receiving 480 citations

Peers

Rachael Instrell
Comparison fields: 5 of 68
  • Parasitology 50
  • Cell Biology 117
  • Molecular Biology 340
  • Cancer Research 50
  • Oncology 85
Replace Dhira Joshi with:
Dhira Joshi United Kingdom
Jennifer E. Klomp United States
Garth Hamilton United Kingdom
Kimiko Takei Japan
Swati Tiwari India
Eric M. Cooper United States
Hou Yu Chen Canada
Jeffrey D. Laney United States
Lutz Heine Germany
Ben Montpetit United States
Rachael Instrell relative to Dhira Joshi United Kingdom Dhira Joshi's profile →
Citations per field
00.5×4.4×
Dhira Joshi · 1×
Citations per year

Countries citing papers authored by Rachael Instrell

Since Specialization
Citations

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

Fields of papers citing papers by Rachael Instrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rachael Instrell, 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 Rachael Instrell Line = papers co-authored together Rachael Instrell links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2016152
2 201286
3 201780
4 201960
5 201149
6 201543
7 20115
8 20254
9 20131
10 20240

About Rachael Instrell

Rachael Instrell is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Immunology, having authored 10 papers that have together received 480 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (2 papers), DNA Repair Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), HER2/EGFR in Cancer Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Parasitology (50 citations), Cell Biology (117 citations), Molecular Biology (340 citations), Cancer Research (50 citations) and Oncology (85 citations). Rachael Instrell has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Michael Howell, Rebecca E. Saunders, Aengus Stewart, Gavin Kelly, Peter J. Parker, Marie Kveiborg, Vesela Encheva, Ilaria Gori, Ozan Aygün and Ambrosius P. Snijders. Their work appears in journals such as Nature Communications, Nature Cell Biology, Cell Reports, Biochemical Journal and Briefings in Functional Genomics.

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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