Michael Flower

2.3k citations
25 papers · 1.1k · 2 hit papers · h-index 14

Impact in

Papers in

Michael Flower

23 papers receiving 1.1k citations

Michael Flower's Hit Papers

Potential disease-modifying therapies for Huntington's disease: lessons learned and future opportunities 2022 · 215 citations
2150+2+4Years since publication100200300

Peers

Michael Flower
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 649
  • Neurology 204
  • Aging 19
  • Molecular Biology 680
  • Biological Psychiatry 21
Replace Shabnam Ghazi‐Noori with:
Shabnam Ghazi‐Noori United Kingdom
Hilary Moffitt United Kingdom
Nicholas S. Caron Canada
Tiffany C. Hadzi United States
Jan Ko United States
Karine Mérienne France
Katrin Juenemann Netherlands
Elisa Fossale United States
Beatriz Alvarez‐Castelao Spain
Maura E. Charlton United States
Michael Flower relative to Shabnam Ghazi‐Noori United Kingdom Shabnam Ghazi‐Noori's profile →
Citations per field
00.5×5×10×12.6×
Shabnam Ghazi‐Noori · 1×
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

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities
Hit paper breakdown →
2020368
2
Potential disease-modifying therapies for Huntington's disease: lessons learned and future opportunities
Hit paper breakdown →
2022215
3 2019109
4 201894
5 200652
6 202142
7 201741
8 202034
9 202021
10 202119
11 202316
12 202416
13 202316
14 196716
15 202213
16 200013
17 200613
18 20258
19 20142
20 20251

About Michael Flower

Michael Flower is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Anthropology and Rheumatology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (16 papers), Mitochondrial Function and Pathology (9 papers), RNA Research and Splicing (4 papers), Neurological disorders and treatments (3 papers), Classical Antiquity Studies (3 papers), Muscle Physiology and Disorders (3 papers), DNA Repair Mechanisms (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (649 citations), Neurology (204 citations), Aging (19 citations), Molecular Biology (680 citations) and Biological Psychiatry (21 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, Rachael I. Scahill, Anne Rosser, Ignacio Muñoz-Sanjuán and Davina J. Hensman Moss. Their work appears in journals such as Human Molecular Genetics, Developmental Biology, The American Journal of Human Genetics, Emerging Topics in Life Sciences and Genome biology.

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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