Daniel J. Bogan

1.3k citations
23 papers · 977 · h-index 18

Impact in

Papers in

Daniel J. Bogan

23 papers receiving 949 citations

Peers

Daniel J. Bogan
Comparison fields: 5 of 63
  • Aging 22
  • Molecular Biology 838
  • Genetics 116
  • Rehabilitation 64
  • Genetics 244
Replace Janet R. Bogan with:
Janet R. Bogan United States
Steven G. Webster United States
Alberto Malerba United Kingdom
Terry Partridge United Kingdom
Joseph X. DiMario United States
Leslie Houghton United States
Seumas McCroskery New Zealand
Akanchha Kesari United States
Capucine Trollet France
Raymond Macharia United Kingdom
Daniel J. Bogan relative to Janet R. Bogan United States Janet R. Bogan's profile →
Citations per field
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Janet R. Bogan · 1×
Citations per year

Countries citing papers authored by Daniel J. Bogan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Bogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Bogan. 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 Daniel J. Bogan. The network helps show where Daniel J. Bogan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012130
2 2000126
3 2010125
4 201291
5 200356
6 199951
7 199851
8 200247
9 199644
10 200442
11 201037
12 201427
13 199426
14 201625
15 201221
16 200118
17 201018
18
Genetic myostatin decrease in the golden retriever muscular dystrophy model does not significantly affect the ubiquitin proteasome system despite enhancing the severity of disease.
201317
19 201311
20 20079

About Daniel J. Bogan

Daniel J. Bogan is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Cellular and Molecular Neuroscience and Biomaterials, having authored 23 papers that have together received 977 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Tissue Engineering and Regenerative Medicine (10 papers), Muscle activation and electromyography studies (4 papers), Nerve injury and regeneration (3 papers), Virus-based gene therapy research (3 papers), Silk-based biomaterials and applications (3 papers), Mesenchymal stem cell research (2 papers) and Calpain Protease Function and Regulation (2 papers). The work is most often cited by research in Aging (22 citations), Molecular Biology (838 citations), Genetics (116 citations), Rehabilitation (64 citations) and Genetics (244 citations). Daniel J. Bogan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Joe N. Kornegay, Janet R. Bogan, Martin K. Childers, Carol S. Okamura, Robert W. Grange, James F. Howard, Juan Li, Martin Styner, Richard J. Bartlett and Gregory F. Petroski. Their work appears in journals such as Muscle & Nerve, Neuromuscular Disorders, Skeletal Muscle, Journal of the Neurological Sciences and Molecular 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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