Heather Best

449 citations
8 papers · 247 · h-index 8

Impact in

Papers in

    • Muscle Physiology and Disorders 3
    • RNA regulation and disease 1
    • Calpain Protease Function and Regulation 2
    • Microtubule and mitosis dynamics 1

Heather Best

8 papers receiving 244 citations

Peers

Heather Best
Comparison fields: 5 of 53
  • Neurology 44
  • Cell Biology 43
  • Genetics 26
  • Psychiatry and Mental health 30
  • Molecular Biology 119
Replace Matt Parton with:
Matt Parton United Kingdom
Tomohiko Nakata Japan
Mary S. Carvalho Brazil
Miguel Leão Portugal
Luísa Villa Italy
Mario Loi Italy
Jung Hwan Lee South Korea
Terumi Murakami Japan
Hervé Testard France
Hormos Salimi Dafsari Germany
Heather Best relative to Matt Parton United Kingdom Matt Parton's profile →
Citations per field
00.5×1.5×2.5×
Matt Parton · 1×
Citations per year

Countries citing papers authored by Heather Best

Since Specialization
Citations

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

Fields of papers citing papers by Heather Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201652
2 201643
3 201239
4 201139
5 202128
6 201922
7 201416
8 20138

About Heather Best

Heather Best is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Neurology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 247 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Calpain Protease Function and Regulation (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper), Nerve injury and regeneration (1 paper), Microtubule and mitosis dynamics (1 paper), Cardiomyopathy and Myosin Studies (1 paper), RNA regulation and disease (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (44 citations), Cell Biology (43 citations), Genetics (26 citations), Psychiatry and Mental health (30 citations) and Molecular Biology (119 citations). Heather Best has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Simone Spinozzi, Kathryn N. North, Nigel F. Clarke, Sonia Albini, Gina O’Grady, Tinte Itinteang, Jill A. Dever, Robert W. Haley, Jun Jia and Ryan Steel. Their work appears in journals such as Neurology, European Journal of Human Genetics, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of Clinical Pathology and Science Translational Medicine.

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