Corinne D. Strickland

2.5k citations
10 papers · 1.9k indexed · 1 hit paper · h-index 8
Topics
Muscle Physiology and Disorders (4 papers)Cardiomyopathy and Myosin Studies (3 papers)Pancreatic and Hepatic Oncology Research (2 papers)

In The Last Decade

Corinne D. Strickland

10 papers receiving 1.9k citations

Hit Papers

Dystrophin expression in the mdx mouse restored by stem c...199920262008201719994008001.2k

Peers

Corinne D. Strickland
Comparison fields: 5 of 80
  • Molecular Biology 1.4k
  • Genetics 990
  • Surgery 642
  • Cardiology and Cardiovascular Medicine 328
  • Genetics 196
Replace Jennifer S. Pocius with:
Jennifer S. Pocius United States
Elizabeth A. Buzney United States
A Innocenzi Italy
Philippe Tropel France
Alan F. Flint United States
Natássia M. Vieira Brazil
Anita R. Kulkarni United States
Stefano Ferrari Italy
Luciana De Angelis Italy
Stephen H. Bartelmez United States
Corinne D. Strickland relative to Jennifer S. Pocius United States Jennifer S. Pocius's profile →
Citations per field
00.5×1.5×2.0×
Jennifer S. Pocius · 1×
Citations per year

Countries citing papers authored by Corinne D. Strickland

Since Specialization
Citations

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

Fields of papers citing papers by Corinne D. Strickland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corinne D. Strickland. 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 Corinne D. Strickland. The network helps show where Corinne D. Strickland may publish in the future.

Co-authorship network of co-authors of Corinne D. Strickland

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 3
2 9
3 14
4 6
5 19
6 102
7 97
8 180
9
Dystrophin expression in the mdx mouse restored by stem cell transplantationbreakdown →
1428
10
50

About Corinne D. Strickland

Corinne D. Strickland is a scholar working on Genetics, Neurology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Genetics (990 citations), Developmental Neuroscience (89 citations) and Molecular Biology (1.4k citations). Corinne D. Strickland has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Emanuela Gussoni, Mohamed K. Khan, Elizabeth A. Buzney, Richard C. Mulligan, Louis M. Kunkel, Alan F. Flint, Monique M. Ryan, Susan T. Iannaccone, Alan H. Beggs and Nigel G. Laing. Their work appears in journals such as Nature, Neurology and Annals of Neurology.

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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