Nigel F. Clarke

6.8k citations
60 papers · 2.3k indexed · h-index 29

Nigel F. Clarke

59 papers receiving 2.3k citations

Peers

Nigel F. Clarke
Comparison fields: 5 of 94
  • Genetics 738
  • Cardiology and Cardiovascular Medicine 1.1k
  • Molecular Biology 1.8k
  • Cell Biology 328
  • Cellular and Molecular Neuroscience 343
Replace Anna Fidziańska with:
Anna Fidziańska Poland
Johann Böhm France
C. Jimenez‐Mallebrera Spain
Monkol Lek United States
J. Sarparanta Finland
Rafaëlle Bernard France
Giulio Piluso Italy
Gianina Ravenscroft Australia
Martin Brockington United Kingdom
Martin Krahn France
Nigel F. Clarke relative to Anna Fidziańska Poland Anna Fidziańska's profile →
Citations per field
00.5×3.2×
Anna Fidziańska · 1×
Citations per year

Countries citing papers authored by Nigel F. Clarke

Since Specialization
Citations

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

Fields of papers citing papers by Nigel F. Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel F. Clarke. 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 Nigel F. Clarke. The network helps show where Nigel F. Clarke may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 201759
3 201415
4 201416
5 201329
6 201343
7 201328
8 201329
9 201222
10 201244
11 201282
12 201172
13 2010126
14 200820
15 2008102
16 200819
17 20071
18 200749
19 2006114
20 200360

About Nigel F. Clarke

Nigel F. Clarke is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Developmental Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (42 papers), Cardiomyopathy and Myosin Studies (30 papers), Neurogenetic and Muscular Disorders Research (18 papers), Genetic Neurodegenerative Diseases (10 papers), RNA Research and Splicing (8 papers), Nuclear Structure and Function (7 papers), Cellular transport and secretion (5 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Genetics (738 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Molecular Biology (1.8k citations), Cell Biology (328 citations) and Cellular and Molecular Neuroscience (343 citations). Nigel F. Clarke has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Kathryn N. North, Nigel G. Laing, Norma B. Romero, Leigh B. Waddell, Sandra T. Cooper, James J. Dowling, Alan H. Beggs, Sarah A. Sandaradura, Andrew J. Kornberg and Daniel G. MacArthur. Their work appears in journals such as Neuromuscular Disorders, Annals of Neurology, European Journal of Human Genetics, Neurology and Brain.

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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