Danielle L. Sexton

21 total papers · 467 total citations
12 papers, 207 citations indexed

About

Danielle L. Sexton is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Danielle L. Sexton has authored 12 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Infectious Diseases. Recurrent topics in Danielle L. Sexton's work include Genomics and Phylogenetic Studies (5 papers), Tuberculosis Research and Epidemiology (3 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Danielle L. Sexton is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Tuberculosis Research and Epidemiology (3 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Danielle L. Sexton collaborates with scholars based in Canada, Germany and France. Danielle L. Sexton's co-authors include Elitza I. Tocheva, Marie A. Elliot, Andreas Schertel, Steffen Burgold, Joseph D. Chao, Yossef Av‐Gay, L. Jeannine Brady, Jacqueline Leonard, Chan Gao and Henry J. Haiser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Danielle L. Sexton

12 papers receiving 204 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. Sexton 113 59 38 33 29 12 207
Wen Wen Low 125 1.1× 73 1.2× 78 2.1× 25 0.8× 18 0.6× 10 282
Célia Souque 67 0.6× 36 0.6× 24 0.6× 24 0.7× 70 2.4× 8 220
Victoria L. Hale 120 1.1× 35 0.6× 39 1.0× 28 0.8× 18 0.6× 7 267
Elena V. Aleksandrova 144 1.3× 21 0.4× 37 1.0× 19 0.6× 24 0.8× 14 239
Ran Meng 84 0.7× 37 0.6× 21 0.6× 18 0.5× 68 2.3× 13 178
D. Hrebik 140 1.2× 117 2.0× 38 1.0× 36 1.1× 47 1.6× 12 290
Peng Li 153 1.4× 50 0.8× 31 0.8× 42 1.3× 23 0.8× 14 253
Nicholas Costa Barroso Lima 139 1.2× 51 0.9× 30 0.8× 20 0.6× 69 2.4× 16 276
Eric van der Helm 171 1.5× 53 0.9× 29 0.8× 13 0.4× 30 1.0× 8 233
M. Zuhaib Qayyum 226 2.0× 79 1.3× 151 4.0× 11 0.3× 17 0.6× 15 281

Countries citing papers authored by Danielle L. Sexton

Since Specialization
Citations

This map shows the geographic impact of Danielle L. Sexton'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. Sexton 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. Sexton more than expected).

Fields of papers citing papers by Danielle L. Sexton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle L. Sexton. A scholar is included among the top collaborators of Danielle L. Sexton 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. Sexton. Danielle L. Sexton 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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