Danielle L. Letting

9 total papers · 1.1k total citations
7 papers, 952 citations indexed

About

Danielle L. Letting is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Danielle L. Letting has authored 7 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Surgery. Recurrent topics in Danielle L. Letting's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Genomics and Chromatin Dynamics (2 papers). Danielle L. Letting is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Genomics and Chromatin Dynamics (2 papers). Danielle L. Letting collaborates with scholars based in United States, Poland and Slovakia. Danielle L. Letting's co-authors include Gerd A. Blobel, Mitchell J. Weiss, Carrie Rakowski, Yingyu Chen, M. A. Bender, Nele Gheldof, Tomoyuki Sawado, Mark Groudine, Job Dekker and Christopher R. Vakoc and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Cell.

In The Last Decade

Danielle L. Letting

7 papers receiving 946 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle L. Letting 783 191 168 111 99 7 952
Roy Drissen 651 0.8× 224 1.2× 161 1.0× 71 0.6× 115 1.2× 17 921
M Ballantine 480 0.6× 120 0.6× 199 1.2× 158 1.4× 122 1.2× 8 795
Divya S. Vinjamur 761 1.0× 145 0.8× 325 1.9× 194 1.7× 71 0.7× 12 939
Carrie Rakowski 783 1.0× 131 0.7× 108 0.6× 83 0.7× 67 0.7× 7 900
S F Tsai 701 0.9× 122 0.6× 92 0.5× 121 1.1× 116 1.2× 9 939
Sietske T. Bakker 820 1.0× 302 1.6× 95 0.6× 141 1.3× 116 1.2× 13 1.2k
Felix A. Klein 887 1.1× 117 0.6× 87 0.5× 106 1.0× 35 0.4× 13 1.1k
Silvia Álvarez 744 1.0× 205 1.1× 66 0.4× 88 0.8× 83 0.8× 8 959
Xinsheng Liao 726 0.9× 443 2.3× 144 0.9× 96 0.9× 92 0.9× 8 1.2k
Wendy Magis 955 1.2× 56 0.3× 137 0.8× 298 2.7× 44 0.4× 14 1.1k

Countries citing papers authored by Danielle L. Letting

Since Specialization
Citations

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

Fields of papers citing papers by Danielle L. Letting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Letting. 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 Danielle L. Letting. The network helps show where Danielle L. Letting may publish in the future.

Co-authorship network of co-authors of Danielle L. Letting

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

All Works

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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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