Heather Best

444 total citations
9 papers, 242 citations indexed

About

Heather Best is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Heather Best has authored 9 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Heather Best's work include Muscle Physiology and Disorders (3 papers), Calpain Protease Function and Regulation (2 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper). Heather Best is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Calpain Protease Function and Regulation (2 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper). Heather Best collaborates with scholars based in United States, Australia and New Zealand. Heather Best's co-authors include Isabelle Richard, Sonia Albini, Simone Spinozzi, Kathryn N. North, Gina O’Grady, Nigel F. Clarke, Carla Bann, Swee T. Tan, Jun Jia and Jill A. Dever and has published in prestigious journals such as Neurology, Annals of Neurology and Science Translational Medicine.

In The Last Decade

Heather Best

9 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Best United States 8 138 48 47 37 36 9 242
Ulrike Schara‐Schmidt Germany 9 157 1.1× 41 0.9× 30 0.6× 50 1.4× 28 0.8× 59 278
Matt Parton United Kingdom 11 201 1.5× 38 0.8× 62 1.3× 13 0.4× 85 2.4× 15 331
Ravi Knight United Kingdom 6 211 1.5× 60 1.3× 41 0.9× 46 1.2× 76 2.1× 6 295
Luísa Villa Italy 10 153 1.1× 14 0.3× 50 1.1× 40 1.1× 25 0.7× 19 279
Tomohiko Nakata Japan 10 156 1.1× 73 1.5× 104 2.2× 9 0.2× 60 1.7× 33 336
Terumi Murakami Japan 11 268 1.9× 37 0.8× 20 0.4× 31 0.8× 92 2.6× 29 356
Jung Hwan Lee South Korea 11 183 1.3× 15 0.3× 89 1.9× 21 0.6× 62 1.7× 29 391
Pavel Balabanov Netherlands 8 257 1.9× 25 0.5× 12 0.3× 17 0.5× 66 1.8× 14 356
Josiah Chai Singapore 7 72 0.5× 24 0.5× 142 3.0× 27 0.7× 18 0.5× 18 308
K Barthel Germany 6 162 1.2× 36 0.8× 56 1.2× 40 1.1× 6 0.2× 6 363

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-authorship network of co-authors of Heather Best

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

All Works

9 of 9 papers shown
1.
Spinozzi, Simone, Sonia Albini, Heather Best, & Isabelle Richard. (2021). Calpains for dummies: What you need to know about the calpain family. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1869(5). 140616–140616. 26 indexed citations
2.
Lostal, William, Carinne Roudaut, Karine Charton, et al.. (2019). Titin splicing regulates cardiotoxicity associated with calpain 3 gene therapy for limb-girdle muscular dystrophy type 2A. Science Translational Medicine. 11(520). 22 indexed citations
3.
O’Grady, Gina, Michaela Yuen, Richard Webster, et al.. (2016). Variants in SLC18A3 , vesicular acetylcholine transporter, cause congenital myasthenic syndrome. Neurology. 87(14). 1442–1448. 42 indexed citations
4.
O’Grady, Gina, Monkol Lek, Shireen R. Lamandé, et al.. (2016). Diagnosis and etiology of congenital muscular dystrophy: We are halfway there. Annals of Neurology. 80(1). 101–111. 49 indexed citations
5.
O’Grady, Gina, Heather Best, Emily C. Oates, et al.. (2014). Recessive ACTA1 variant causes congenital muscular dystrophy with rigid spine. European Journal of Human Genetics. 23(6). 883–886. 16 indexed citations
6.
Best, Heather, James Matthews, Rosemary Heathcott, et al.. (2013). Laulimalide and peloruside A inhibit mitosis of Saccharomyces cerevisiae by preventing microtubule depolymerisation-dependent steps in chromosome separation and nuclear positioning. Molecular BioSystems. 9(11). 2842–2852. 8 indexed citations
7.
Itinteang, Tinte, Swee T. Tan, Helen D. Brasch, et al.. (2012). Infantile haemangioma expresses embryonic stem cell markers. Journal of Clinical Pathology. 65(5). 394–398. 39 indexed citations
8.
Iannacchione, Vincent G., et al.. (2011). Validation of a Research Case Definition of Gulf War Illness in the 1991 US Military Population. Neuroepidemiology. 37(2). 129–140. 38 indexed citations
9.
Best, Heather. (1990). Mandibular overdenture treatment. Case report. Australian Dental Journal. 35(2). 125–127. 2 indexed citations

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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