Stephen R. Yant

63 total papers · 6.0k total citations
47 papers, 3.8k citations indexed

About

Stephen R. Yant is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Stephen R. Yant has authored 47 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Infectious Diseases and 15 papers in Virology. Recurrent topics in Stephen R. Yant's work include HIV/AIDS drug development and treatment (17 papers), HIV Research and Treatment (15 papers) and Virus-based gene therapy research (14 papers). Stephen R. Yant is often cited by papers focused on HIV/AIDS drug development and treatment (17 papers), HIV Research and Treatment (15 papers) and Virus-based gene therapy research (14 papers). Stephen R. Yant collaborates with scholars based in United States, Germany and Hungary. Stephen R. Yant's co-authors include Mark A. Kay, Leonard Meuse, Yong Huang, Jacob Giehm Mikkelsen, Bassel Akache, Tomáš Cihlář, Hui Xu, Zsuzsanna Izsvák, Zoltán Ivics and Rujuta A. Bam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Stephen R. Yant

46 papers receiving 3.7k citations

Author Peers

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

Author Last Decade Papers Cites
Stephen R. Yant 2.7k 1.8k 826 570 426 47 3.8k
Natalie M. Teich 1.8k 0.7× 1.3k 0.7× 568 0.7× 598 1.0× 550 1.3× 37 3.7k
Nirav Malani 2.6k 1.0× 1.4k 0.7× 872 1.1× 1.2k 2.1× 346 0.8× 45 3.7k
Harold E Varmus 2.4k 0.9× 679 0.4× 501 0.6× 529 0.9× 356 0.8× 25 3.7k
Jacob Giehm Mikkelsen 2.8k 1.0× 1.2k 0.7× 293 0.4× 268 0.5× 405 1.0× 112 3.9k
Cornelia M. Gorman 4.2k 1.6× 2.0k 1.1× 372 0.5× 439 0.8× 702 1.6× 26 6.4k
Stephen P. Goff 1.7k 0.6× 547 0.3× 634 0.8× 753 1.3× 234 0.5× 41 2.8k
Monique V. Davies 3.7k 1.4× 822 0.4× 263 0.3× 268 0.5× 409 1.0× 36 5.0k
Dong Sung An 2.8k 1.1× 1.2k 0.7× 600 0.7× 1.1k 2.0× 584 1.4× 79 4.7k
W. C. Russell 4.5k 1.7× 4.1k 2.2× 1.2k 1.5× 264 0.5× 843 2.0× 54 6.7k
Ayalew Mergia 1.8k 0.7× 681 0.4× 176 0.2× 442 0.8× 390 0.9× 56 2.9k

Countries citing papers authored by Stephen R. Yant

Since Specialization
Citations

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

Fields of papers citing papers by Stephen R. Yant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen R. Yant. 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 Stephen R. Yant. The network helps show where Stephen R. Yant may publish in the future.

Co-authorship network of co-authors of Stephen R. Yant

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen R. Yant. A scholar is included among the top collaborators of Stephen R. Yant 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 Stephen R. Yant. Stephen R. Yant 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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