Stephen Apone
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
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- Ubiquitin and proteasome pathways 2
- Muscle Physiology and Disorders 2
- RNA Research and Splicing 2
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- Osteoarthritis Treatment and Mechanisms 2
- Bone and Dental Protein Studies 1
- Co-authors
- Stephen D. Hauschka (2 shared papers)Robert L. Davis (1 shared paper)Andrew B. Lassar (1 shared paper)Harold Weintraub (1 shared paper)Jean N. Buskin (1 shared paper)Daniel Lockshon (1 shared paper)David R. Eyre (3 shared papers)Paul Börnstein (2 shared papers)
- Journals
- Bone (2 papers)Journal of Biological Chemistry (2 papers)Molecular and Cellular Biology (1 paper)Matrix Biology (1 paper)Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Apone
8 papers receiving 1.1k citations
Stephen Apone's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology and Allergy 76
- Molecular Biology 912
- Aging 19
- Rheumatology 118
- Genetics 192
Countries citing papers authored by Stephen Apone
This map shows the geographic impact of Stephen Apone'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 Stephen Apone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Apone more than expected).
Fields of papers citing papers by Stephen Apone
This network shows the impact of papers produced by Stephen Apone. 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 Stephen Apone. The network helps show where Stephen Apone may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Apone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | MyoD is a sequence-specific DNA binding protein requiring a region of myc homology to bind to the muscle creatine kinase enhancer Hit paper breakdown → | 1989 | 806 |
| 2 | 1988 | 93 | |
| 3 | 1997 | 66 | |
| 4 | A growing family of collagens in articular cartilage: identification of 5 genetically distinct types. | 1987 | 58 |
| 5 | 1995 | 52 | |
| 6 | 1988 | 37 | |
| 7 | 2005 | 24 | |
| 8 | 2000 | 13 |
About Stephen Apone
Stephen Apone is a scholar working on Molecular Biology, Rheumatology, Oncology, Genetics and Orthopedics and Sports Medicine, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Muscle Physiology and Disorders (2 papers), Bone health and treatments (2 papers), Connective tissue disorders research (2 papers), RNA Research and Splicing (2 papers), Bone and Joint Diseases (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Immunology and Allergy (76 citations), Molecular Biology (912 citations), Aging (19 citations), Rheumatology (118 citations) and Genetics (192 citations). Stephen Apone has collaborated with scholars based in United States. Frequent co-authors include Stephen D. Hauschka, Robert L. Davis, Andrew B. Lassar, Harold Weintraub, Jean N. Buskin, Daniel Lockshon, David R. Eyre, Paul Börnstein, DeAnn Liska and S Devarayalu. Their work appears in journals such as Bone, Journal of Biological Chemistry, Molecular and Cellular Biology, Matrix Biology and Cell.
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.