Daniel A. Skelly
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 10%
- Food Science top 5%
- Plant Science top 10%
- Co-authors
- Nadia RosenthalMicheal A. McLellanAlexander R. PintoGalen T SquiersJoshua M. AkeyPaul RobsonMohan BolisettyPaul M. Magwene
- Topics
- Genetic Mapping and Diversity in Plants and Animals (10 papers)Fungal and yeast genetics research (7 papers)Epigenetics and DNA Methylation (5 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel A. Skelly
33 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 388
- Genetics 248
- Food Science 219
- Plant Science 191
Countries citing papers authored by Daniel A. Skelly
This map shows the geographic impact of Daniel A. Skelly'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 A. Skelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Skelly more than expected).
Fields of papers citing papers by Daniel A. Skelly
This network shows the impact of papers produced by Daniel A. Skelly. 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 A. Skelly. The network helps show where Daniel A. Skelly may publish in the future.
Co-authorship network of co-authors of Daniel A. Skelly
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Skelly. A scholar is included among the top collaborators of Daniel A. Skelly 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 Daniel A. Skelly. Daniel A. Skelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 53 | |
| 8 | 4 | |
| 9 | 31 | |
| 10 | 128 | |
| 11 | 178 | |
| 12 | 6 | |
| 13 | Single-Cell Transcriptional Profiling Reveals Cellular Diversity and Intercommunication in the Mouse Heartbreakdown → | 373 |
| 14 | 9 | |
| 15 | 43 | |
| 16 | 14 | |
| 17 | 260 | |
| 18 | 17 | |
| 19 | 10 | |
| 20 | 130 |
About Daniel A. Skelly
Daniel A. Skelly is a scholar working on Genetics, Molecular Biology and Neurology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Fungal and yeast genetics research (7 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (388 citations), Molecular Biology (1.2k citations) and Aging (27 citations). Daniel A. Skelly has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Nadia Rosenthal, Micheal A. McLellan, Alexander R. Pinto, Galen T Squiers, Joshua M. Akey, Paul Robson, Mohan Bolisetty, Paul M. Magwene, Eric A. Stone and Fred S. Dietrich. Their work appears in journals such as Nucleic Acids Research, Circulation and The EMBO Journal.
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.