Cheryl Longman

4.9k citations
47 papers · 1.2k · h-index 16

Impact in

Papers in

Cheryl Longman

45 papers receiving 1.2k citations

Peers

Cheryl Longman
Comparison fields: 5 of 83
  • Genetics 156
  • Cellular and Molecular Neuroscience 247
  • Molecular Biology 847
  • Immunology and Allergy 52
  • Cardiology and Cardiovascular Medicine 155
Replace Emma Clement with:
Emma Clement United Kingdom
Luca Bello Italy
Kenzo Hamano Japan
M. Mayer France
Phillipa J. Lamont Australia
Giuliana Galluzzi Italy
Andrea O’Neill United States
Gianina Ravenscroft Australia
Joachim Schessl Germany
Yuzo Tanabe Japan
Cheryl Longman relative to Emma Clement United Kingdom Emma Clement's profile →
Citations per field
00.5×1.6×
Emma Clement · 1×
Citations per year

Countries citing papers authored by Cheryl Longman

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Longman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003311
2 2005103
3 200882
4 200578
5 201877
6 201767
7 200857
8 201157
9 200333
10 201332
11 201730
12 200328
13 201225
14 200720
15 201818
16 201415
17 200415
18 200614
19 202213
20 201911

About Cheryl Longman

Cheryl Longman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Genetics and Surgery, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), Genetic Neurodegenerative Diseases (12 papers), Mitochondrial Function and Pathology (7 papers), Neurogenetic and Muscular Disorders Research (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), Cardiomyopathy and Myosin Studies (5 papers), RNA modifications and cancer (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Genetics (156 citations), Cellular and Molecular Neuroscience (247 citations), Molecular Biology (847 citations), Immunology and Allergy (52 citations) and Cardiology and Cardiovascular Medicine (155 citations). Cheryl Longman has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Martin Brockington, Francesco Muntoni, Silvia Torelli, S. Brown, Eugenio Mercuri, S. Robb, Mark Hamilton, Richard Petty, Francesco Muntoni and Caroline A. Sewry. Their work appears in journals such as Neuromuscular Disorders, Neurology, Human Molecular Genetics, Clinical Rehabilitation and Neuropediatrics.

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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