James E. Carroll

4.8k citations
110 papers · 4.1k · h-index 36

Impact in

Papers in

    • Mitochondrial Function and Pathology 12
    • Muscle Physiology and Disorders 8
    • Mesenchymal stem cell research 14
    • Neurogenetic and Muscular Disorders Research 8

James E. Carroll

108 papers receiving 3.8k citations

Peers

James E. Carroll
Comparison fields: 5 of 148
  • Developmental Neuroscience 436
  • Genetics 787
  • Neurology 458
  • Clinical Biochemistry 343
  • Cellular and Molecular Neuroscience 527
Replace Yutaka Oiso with:
Yutaka Oiso Japan
G Tredici Italy
Alexander G. Rabchevsky United States
Barry W. Festoff United States
Akihiko Taguchi Japan
Masakiyo Sasahara Japan
Hiroshi Hasegawa Japan
Nancy L. Nadon United States
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Citations per field
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Citations per year

Countries citing papers authored by James E. Carroll

Since Specialization
Citations

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

Fields of papers citing papers by James E. Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Carroll. 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 James E. Carroll. The network helps show where James E. Carroll may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004352
2 2002232
3 1982175
4 1984174
5 1979164
6 2004152
7 1986137
8 2005127
9
Detection of new paternal dystrophin gene mutations in isolated cases of dystrophinopathy in females.
1994121
10 1979113
11 2008101
12 200678
13 199477
14 199876
15 197766
16 197662
17 198861
18 199861
19 198256
20 197954

About James E. Carroll

James E. Carroll is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Physiology and Pediatrics, Perinatology and Child Health, having authored 110 papers that have together received 4.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (22 papers), Mesenchymal stem cell research (14 papers), Mitochondrial Function and Pathology (12 papers), Muscle metabolism and nutrition (12 papers), Diet and metabolism studies (9 papers), Adipose Tissue and Metabolism (8 papers), Muscle Physiology and Disorders (8 papers) and Neurogenetic and Muscular Disorders Research (8 papers). The work is most often cited by research in Developmental Neuroscience (436 citations), Genetics (787 citations), Neurology (458 citations), Clinical Biochemistry (343 citations) and Cellular and Molecular Neuroscience (527 citations). James E. Carroll has collaborated with scholars based in United States, Kuwait and Ireland. Frequent co-authors include David C. Hess, Michael H. Brooke, Angeline Martin-Studdard, William Hill, Jack B. Shumate, Cesar V. Borlongan, James M. Hagberg, Charles Cheng, Robert W. Mays and William G. Totty. Their work appears in journals such as Neurology, Muscle & Nerve, Stroke, Journal of Child Neurology and Expert Opinion on Biological Therapy.

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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