Dennis Sakai

19 total papers · 1.1k total citations
17 papers, 887 citations indexed

About

Dennis Sakai is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Dennis Sakai has authored 17 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Immunology. Recurrent topics in Dennis Sakai's work include Estrogen and related hormone effects (7 papers), Herpesvirus Infections and Treatments (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Dennis Sakai is often cited by papers focused on Estrogen and related hormone effects (7 papers), Herpesvirus Infections and Treatments (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Dennis Sakai collaborates with scholars based in United States, Canada and Sweden. Dennis Sakai's co-authors include Jack Gorski, Fritz Rottman, S. R. Helms, Jan-Ακε Gustafsson, Jan Carlstedt‐Duke, Keith R. Yamamoto, Wade V. Welshons, Judith A. Kassis, Jane H. Walent and Cedric Minkin and has published in prestigious journals such as Genes & Development, Molecular and Cellular Biology and Biochemistry.

In The Last Decade

Dennis Sakai

17 papers receiving 845 citations

Author Peers

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

Author Last Decade Papers Cites
Dennis Sakai 484 425 197 171 133 17 887
M. Perrot-Applanat 368 0.8× 402 0.9× 235 1.2× 137 0.8× 122 0.9× 15 855
T. Kawashima 516 1.1× 369 0.9× 170 0.9× 100 0.6× 87 0.7× 21 927
William King 391 0.8× 321 0.8× 74 0.4× 122 0.7× 160 1.2× 16 996
Francis Stewart 472 1.0× 585 1.4× 205 1.0× 143 0.8× 114 0.9× 10 958
Beth Lynn Maxwell 618 1.3× 407 1.0× 200 1.0× 215 1.3× 127 1.0× 14 1.0k
Yu Dong 328 0.7× 296 0.7× 277 1.4× 118 0.7× 75 0.6× 19 791
P. Lescop 514 1.1× 577 1.4× 188 1.0× 120 0.7× 70 0.5× 15 871
P E Schwartz 239 0.5× 363 0.9× 123 0.6× 78 0.5× 136 1.0× 21 873
Jin K. Kim 348 0.7× 432 1.0× 129 0.7× 71 0.4× 285 2.1× 26 1.0k
Fern E. Murdoch 466 1.0× 495 1.2× 83 0.4× 108 0.6× 91 0.7× 25 828

Countries citing papers authored by Dennis Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis Sakai. 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 Dennis Sakai. The network helps show where Dennis Sakai may publish in the future.

Co-authorship network of co-authors of Dennis Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Sakai. A scholar is included among the top collaborators of Dennis Sakai 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 Dennis Sakai. Dennis Sakai 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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