Ben A. Bailey-Elkin

31 total papers · 709 total citations
15 papers, 451 citations indexed

About

Ben A. Bailey-Elkin is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Ben A. Bailey-Elkin has authored 15 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Immunology. Recurrent topics in Ben A. Bailey-Elkin's work include interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (4 papers) and Virus-based gene therapy research (4 papers). Ben A. Bailey-Elkin is often cited by papers focused on interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (4 papers) and Virus-based gene therapy research (4 papers). Ben A. Bailey-Elkin collaborates with scholars based in Canada, Netherlands and United States. Ben A. Bailey-Elkin's co-authors include Brian L. Mark, Marjolein Kikkert, Puck B. van Kasteren, Robert C. M. Knaap, Eric J. Snijder, Dennis K. Ninaber, Garrett Johnson, Tim J. Dalebout, Mazdak Khajehpour and Peter J. Bredenbeek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Ben A. Bailey-Elkin

12 papers receiving 448 citations

Author Peers

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

Author Last Decade Papers Cites
Ben A. Bailey-Elkin 202 177 146 71 70 15 451
Natalie K. Connors 205 1.0× 152 0.9× 61 0.4× 79 1.1× 47 0.7× 20 465
Jenna N. Kelly 144 0.7× 218 1.2× 138 0.9× 44 0.6× 47 0.7× 15 463
Sarah van Tol 186 0.9× 241 1.4× 273 1.9× 31 0.4× 59 0.8× 19 538
Mengjiao Fu 106 0.5× 159 0.9× 97 0.7× 45 0.6× 67 1.0× 26 433
Raquel Garijo 175 0.9× 180 1.0× 65 0.4× 107 1.5× 35 0.5× 12 459
Alice A. Torres 150 0.7× 101 0.6× 111 0.8× 108 1.5× 37 0.5× 15 443
Zheng Shi-min 184 0.9× 110 0.6× 108 0.7× 57 0.8× 136 1.9× 34 464
Bruce Woodson 143 0.7× 70 0.4× 81 0.6× 123 1.7× 36 0.5× 15 496
Martina Bécares 127 0.6× 327 1.8× 102 0.7× 102 1.4× 212 3.0× 13 519
Xiaojuan Jia 174 0.9× 213 1.2× 196 1.3× 71 1.0× 166 2.4× 17 539

Countries citing papers authored by Ben A. Bailey-Elkin

Since Specialization
Citations

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

Fields of papers citing papers by Ben A. Bailey-Elkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben A. Bailey-Elkin. 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 Ben A. Bailey-Elkin. The network helps show where Ben A. Bailey-Elkin may publish in the future.

Co-authorship network of co-authors of Ben A. Bailey-Elkin

This figure shows the co-authorship network connecting the top 25 collaborators of Ben A. Bailey-Elkin. A scholar is included among the top collaborators of Ben A. Bailey-Elkin 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 Ben A. Bailey-Elkin. Ben A. Bailey-Elkin 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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