Swneke D. Bailey

4.4k citations
33 papers · 1.6k indexed · h-index 20
Topics
Genomics and Chromatin Dynamics (11 papers)Genetic Associations and Epidemiology (9 papers)Epigenetics and DNA Methylation (5 papers)
Journals
Nature CommunicationsNature GeneticsSHILAP Revista de lepidopterología

In The Last Decade

Swneke D. Bailey

31 papers receiving 1.6k citations

Peers

Swneke D. Bailey
Comparison fields: 5 of 95
  • Molecular Biology 935
  • Genetics 455
  • Cancer Research 294
  • Endocrinology, Diabetes and Metabolism 173
  • Surgery 157
Replace Armand Valsesia with:
Armand Valsesia Switzerland
Shang‐Ling Pan China
Michael E. Grossmann United States
Katherine E. Pinnick United Kingdom
S Ishibashi Japan
Minoru Iwata Japan
Agnieszka Paziewska Poland
Ángel Díaz‐Lagares Spain
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Swneke D. Bailey relative to Armand Valsesia Switzerland Armand Valsesia's profile →
Citations per field
00.5×1.5×1.9×
Armand Valsesia · 1×
Citations per year

Countries citing papers authored by Swneke D. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Swneke D. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swneke D. Bailey. 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 Swneke D. Bailey. The network helps show where Swneke D. Bailey may publish in the future.

Co-authorship network of co-authors of Swneke D. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Swneke D. Bailey. A scholar is included among the top collaborators of Swneke D. Bailey 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 Swneke D. Bailey. Swneke D. Bailey 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 8
4 1
5 7
6 6
7 24
8 10
9 32
10 9
11 65
12 57
13 71
14 34
15 23
16 9
17 89
18 66
19 16
20 97

About Swneke D. Bailey

Swneke D. Bailey is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), Genetic Associations and Epidemiology (9 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (294 citations), Genetics (455 citations) and Molecular Biology (935 citations). Swneke D. Bailey has collaborated with scholars based in Canada, United States and Argentina. Frequent co-authors include Mathieu Lupien, Xiaoyang Zhang, Richard Cowper‐Sal·lari, Jason H. Moore, James C. Engert, Jérôme Eeckhoute, Michael D. Cole, Jason Wright, Ron Do and Marie‐Claude Vohl. Their work appears in journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

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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