Beryl B. Cummings

35.7k citations
18 papers · 1.6k indexed · 2 hit papers · h-index 12
Topics
Genomics and Rare Diseases (6 papers)RNA modifications and cancer (5 papers)RNA Research and Splicing (5 papers)

In The Last Decade

Beryl B. Cummings

18 papers receiving 1.6k citations

Hit Papers

Landscape of X chromosome inactivation across human tissues201620262019202220172016200400600

Peers

Beryl B. Cummings
Comparison fields: 5 of 104
  • Molecular Biology 862
  • Genetics 694
  • Cancer Research 191
  • Immunology 152
  • Cardiology and Cardiovascular Medicine 128
Replace W.G. Kearns with:
W.G. Kearns United States
Angela F. Brady United Kingdom
Sadahiko Iwamoto Japan
Marc W. Halterman United States
Laurent Essioux Switzerland
Jürgen Horst Germany
Maya Kasowski United States
Peter Gustavsson Sweden
Güven Lüleci Türkiye
Gleb Kichaev United States
Beryl B. Cummings relative to W.G. Kearns United States W.G. Kearns's profile →
Citations per field
00.5×3.3×
W.G. Kearns · 1×
Citations per year

Countries citing papers authored by Beryl B. Cummings

Since Specialization
Citations

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

Fields of papers citing papers by Beryl B. Cummings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beryl B. Cummings. 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 Beryl B. Cummings. The network helps show where Beryl B. Cummings may publish in the future.

Co-authorship network of co-authors of Beryl B. Cummings

This figure shows the co-authorship network connecting the top 25 collaborators of Beryl B. Cummings. A scholar is included among the top collaborators of Beryl B. Cummings 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 Beryl B. Cummings. Beryl B. Cummings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 10
2 3
3 2
4
Evaluating drug targets through human loss-of-function genetic variation
92
5 7
6 64
7 20
8 14
9 66
10 72
11 12
12 42
13
Landscape of X chromosome inactivation across human tissuesbreakdown →
665
14 1
15 46
16 1
17
The ExAC browser: displaying reference data information from over 60 000 exomesbreakdown →
452
18 59

About Beryl B. Cummings

Beryl B. Cummings is a scholar working on Clinical Biochemistry, Genetics and Molecular Biology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Genetics (694 citations), Cancer Research (191 citations) and Molecular Biology (862 citations). Beryl B. Cummings has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Daniel G. MacArthur, Konrad J. Karczewski, Mark J. Daly, Aviv Regev, Ben Weisburd, Tuuli Lappalainen, Stephane E. Castel, Matthew Solomonson, Daniel Birnbaum and Brett Thomas. Their work appears in journals such as Nature, Science and Nucleic Acids Research.

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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