R.J. Daniels

1.8k total citations
23 papers, 1.4k citations indexed

About

R.J. Daniels is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, R.J. Daniels has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Genetics and 6 papers in Genetics. Recurrent topics in R.J. Daniels's work include Neurogenetic and Muscular Disorders Research (13 papers), RNA modifications and cancer (13 papers) and RNA Research and Splicing (6 papers). R.J. Daniels is often cited by papers focused on Neurogenetic and Muscular Disorders Research (13 papers), RNA modifications and cancer (13 papers) and RNA Research and Splicing (6 papers). R.J. Daniels collaborates with scholars based in United Kingdom, United States and India. R.J. Daniels's co-authors include Victor Dubowitz, Kay E. Davies, Linda M. Brzustowicz, T. Conrad Gilliam, Jürg Ott, Thomas Lehner, Lucio H. Castilla, T. L. Munsat, Graciela K. Penchaszadeh and David Wood and has published in prestigious journals such as Nature, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

R.J. Daniels

22 papers receiving 1.3k citations

Peers

R.J. Daniels
Comparison fields: 5 of 83
  • Molecular Biology 1.1k
  • Genetics 905
  • Surgery 329
  • Genetics 306
  • Pediatrics, Perinatology and Child Health 65
Vicki L. McGovern United States
Tomonari Awaya Japan
Maureen Durning United States
Heidi R. Fuller United Kingdom
Claudia Stewart United States
Ling T. Guo United States
Pablo Morales United States
Suresh Kannan India
Zhifeng Long United States
Irina Lagutina Italy
Vicki L. McGovern United States View profile →
Citations per field, relative to R.J. Daniels
R.J. Daniels · 1×
Citations per year, relative to R.J. Daniels
R.J. Daniels · 1×

Countries citing papers authored by R.J. Daniels

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.J. Daniels. 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 R.J. Daniels. The network helps show where R.J. Daniels may publish in the future.

Co-authorship network of co-authors of R.J. Daniels

This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Daniels. A scholar is included among the top collaborators of R.J. Daniels 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 R.J. Daniels. R.J. Daniels 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
# Work Indexed citations
1
Role emerging placements: A success story in a climate of cutbacks
1
2 95
3 5
4 73
5 0
6 19
7 19
8 14
9 8
10
Complex repetitive arrangements of gene sequence in the candidate region of the spinal muscular atrophy gene in 5q13.
32
11 7
12 9
13 63
14 103
15
High-resolution genetic map around the spinal muscular atrophy (SMA) locus on chromosome 5.
30
16 28
17 4
18 449
19 257
20 28

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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