Daniel A. Skelly

2.8k citations
34 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
Genetic Mapping and Diversity in Plants and Animals (10 papers)Fungal and yeast genetics research (7 papers)Epigenetics and DNA Methylation (5 papers)

In The Last Decade

Daniel A. Skelly

33 papers receiving 1.7k citations

Hit Papers

Single-Cell Transcriptional Profiling Reveals Cellular Di...20182026202020232018100200300

Peers

Daniel A. Skelly
Comparison fields: 5 of 109
  • Molecular Biology 1.2k
  • Cardiology and Cardiovascular Medicine 388
  • Genetics 248
  • Food Science 219
  • Plant Science 191
Replace Phillip A. Richmond with:
Phillip A. Richmond Canada
Nicolás Bellora Argentina
Apollonia Tullo Italy
Ian J. Donaldson United Kingdom
Juliane Ramser Germany
Chee Peng Ng Singapore
Yonghe Ding China
Francisco J. Sáez Spain
Shinji Honda Japan
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Daniel A. Skelly relative to Phillip A. Richmond Canada Phillip A. Richmond's profile →
Citations per field
00.5×6.7×
Phillip A. Richmond · 1×
Citations per year

Countries citing papers authored by Daniel A. Skelly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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