Cynthia M. Barber
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Biochemistry top 5%
- Co-authors
- Kevin R. LynchC. David AllisDonald F. HuntJeffrey ShabanowitzWilliam C. SessaJeffrey K. HarrisonBeatrix UeberheideScott Briggs
- Topics
- Genomics and Chromatin Dynamics (5 papers)Epigenetics and DNA Methylation (4 papers)Receptor Mechanisms and Signaling (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryMolecular Cell
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Cynthia M. Barber
18 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.3k
- Physiology 494
- Cellular and Molecular Neuroscience 201
- Cardiology and Cardiovascular Medicine 189
- Biochemistry 167
Countries citing papers authored by Cynthia M. Barber
This map shows the geographic impact of Cynthia M. Barber'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 Cynthia M. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cynthia M. Barber more than expected).
Fields of papers citing papers by Cynthia M. Barber
This network shows the impact of papers produced by Cynthia M. Barber. 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 Cynthia M. Barber. The network helps show where Cynthia M. Barber may publish in the future.
Co-authorship network of co-authors of Cynthia M. Barber
This figure shows the co-authorship network connecting the top 25 collaborators of Cynthia M. Barber. A scholar is included among the top collaborators of Cynthia M. Barber 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 Cynthia M. Barber. Cynthia M. Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 77 | |
| 6 | 86 | |
| 7 | 104 | |
| 8 | Histone Methyltransferases Direct Different Degrees of Methylation to Define Distinct Chromatin Domainsbreakdown → | 637 |
| 9 | 87 | |
| 10 | Performance of liquid-based, thin-layer cervical cytology: correlation with reference diagnoses and human papillomavirus testing. | 52 |
| 11 | 62 | |
| 12 | 4 | |
| 13 | 40 | |
| 14 | 21 | |
| 15 | 127 | |
| 16 | 394 | |
| 17 | 142 | |
| 18 | 38 |
About Cynthia M. Barber
Cynthia M. Barber is a scholar working on Biochemistry, Nutrition and Dietetics and Geography, Planning and Development, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biochemistry (167 citations), Physiology (494 citations) and Molecular Biology (1.3k citations). Cynthia M. Barber has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Kevin R. Lynch, C. David Allis, Donald F. Hunt, Jeffrey Shabanowitz, William C. Sessa, Jeffrey K. Harrison, Beatrix Ueberheide, Scott Briggs, Judd C. Rice and Yoichi Shinkai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular 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.