Michael Flower

18 papers receiving 926 citations

Hit Papers

Potential disease-modifying therapies for Huntington's disease: lessons learned and future opportunities 2022 · 190 citations
1902020202620222024100200300

Peers

Michael Flower
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 601
  • Neurology 223
  • Aging 20
  • Molecular Biology 685
  • Neurology 65
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Hilary Moffitt United Kingdom
Marcy R. Weatherspoon United States
Lisa Bertram Canada
Birgit Zucker Germany
Tiffany C. Hadzi United States
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Refugio A. Martinez United States
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Citations per year

Countries citing papers authored by Michael Flower

Since Specialization
Citations

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

Fields of papers citing papers by Michael Flower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities
Hit paper breakdown →
2020330
2
Potential disease-modifying therapies for Huntington's disease: lessons learned and future opportunities
Hit paper breakdown →
2022190
3 2019101
4 201890
5 201740
6 202137
7 202033
8 202019
9 202118
10 202315
11 202314
12 202414
13 196714
14 202210
15 20069
16 20142
17 20251
18 20191
19 20160
20 20140

About Michael Flower

Michael Flower is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Clinical Biochemistry and Rheumatology, having authored 20 papers that have together received 938 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (14 papers), Mitochondrial Function and Pathology (10 papers), Muscle Physiology and Disorders (5 papers), RNA Research and Splicing (4 papers), Neurological disorders and treatments (3 papers), DNA Repair Mechanisms (2 papers), Epilepsy research and treatment (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (601 citations), Neurology (223 citations), Aging (20 citations), Molecular Biology (685 citations) and Neurology (65 citations). Michael Flower has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sarah J. Tabrizi, Edward J. Wild, Christopher A. Ross, Blair R. Leavitt, Carlos Estevez‐Fraga, Willeke van Roon‐Mom, Davina J. Hensman Moss, Ignacio Muñoz-Sanjuán, Anne Rosser and Rachael I. Scahill. Their work appears in journals such as Scientific Reports, Progress in Neurobiology, Cell Genomics, Human Molecular Genetics and Brain Communications.

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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