Roger W. Wiseman

17.5k total citations
154 papers, 7.2k citations indexed

About

Roger W. Wiseman is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Roger W. Wiseman has authored 154 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Immunology, 60 papers in Molecular Biology and 33 papers in Virology. Recurrent topics in Roger W. Wiseman's work include T-cell and B-cell Immunology (49 papers), Immune Cell Function and Interaction (40 papers) and HIV Research and Treatment (32 papers). Roger W. Wiseman is often cited by papers focused on T-cell and B-cell Immunology (49 papers), Immune Cell Function and Interaction (40 papers) and HIV Research and Treatment (32 papers). Roger W. Wiseman collaborates with scholars based in United States, United Kingdom and Sweden. Roger W. Wiseman's co-authors include David H. O’Connor, Julie A. Karl, P. Andrew Futreal, Jeffrey R. Marks, James A. Miller, Elizabeth C. Miller, Charles Cochran, J. Carl Barrett, Andrew Berchuck and Monika E. Hegi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Roger W. Wiseman

153 papers receiving 7.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roger W. Wiseman United States 46 3.4k 1.9k 1.6k 1.5k 1.4k 154 7.2k
Helmut Hanenberg Germany 48 6.0k 1.8× 2.0k 1.1× 1.6k 0.9× 2.8k 1.8× 1.3k 0.9× 195 9.4k
Youichi Suzuki Japan 25 2.4k 0.7× 897 0.5× 1.2k 0.7× 828 0.6× 441 0.3× 78 5.9k
Pradip Roy‐Burman United States 42 3.4k 1.0× 1.3k 0.7× 1.1k 0.7× 1.2k 0.8× 837 0.6× 125 6.0k
Ulla Hansen United States 40 3.1k 0.9× 899 0.5× 601 0.4× 1.2k 0.8× 590 0.4× 104 5.4k
Thomas J. Gonda Australia 46 5.4k 1.6× 3.0k 1.6× 2.5k 1.5× 1.2k 0.8× 1.1k 0.8× 125 9.2k
Colin S. Duckett United States 51 6.0k 1.8× 2.0k 1.1× 3.5k 2.1× 408 0.3× 2.2k 1.6× 89 9.7k
Andrew Ziemiecki Switzerland 42 3.8k 1.1× 3.4k 1.8× 2.3k 1.4× 688 0.5× 785 0.6× 91 8.0k
Yue Lu United States 43 4.2k 1.2× 886 0.5× 1000 0.6× 846 0.6× 1.1k 0.8× 216 6.8k
Barry P. Sleckman United States 51 5.3k 1.6× 2.2k 1.2× 4.6k 2.8× 890 0.6× 888 0.7× 137 10.0k
Gwyn T. Williams United Kingdom 41 6.0k 1.8× 1.8k 1.0× 3.0k 1.8× 635 0.4× 2.7k 2.0× 121 10.1k

Countries citing papers authored by Roger W. Wiseman

Since Specialization
Citations

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

Fields of papers citing papers by Roger W. Wiseman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger W. Wiseman. 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 Roger W. Wiseman. The network helps show where Roger W. Wiseman may publish in the future.

Co-authorship network of co-authors of Roger W. Wiseman

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

All Works

20 of 20 papers shown
1.
Karl, Julie A., et al.. (2023). Complete sequencing of a cynomolgus macaque major histocompatibility complex haplotype. Genome Research. 33(3). 448–462. 9 indexed citations
2.
Fray, Emily J., Fengting Wu, Francesco R. Simonetti, et al.. (2023). Antiretroviral therapy reveals triphasic decay of intact SIV genomes and persistence of ancestral variants. Cell Host & Microbe. 31(3). 356–372.e5. 12 indexed citations
3.
Harris, R. Alan, Muthuswamy Raveendran, Fritz J. Sedlazeck, et al.. (2022). Construction of a new chromosome-scale, long-read reference genome assembly for the Syrian hamster, Mesocricetus auratus. GigaScience. 11. 8 indexed citations
4.
Karl, Julie A., et al.. (2021). Consistent ultra-long DNA sequencing with automated slow pipetting. BMC Genomics. 22(1). 182–182. 12 indexed citations
5.
Wiseman, Roger W., Julie A. Karl, David Baker, et al.. (2020). Characterization of 100 extended major histocompatibility complex haplotypes in Indonesian cynomolgus macaques. Immunogenetics. 72(4). 225–239. 15 indexed citations
6.
Grunst, Michael W., et al.. (2020). Functional Interactions of Common Allotypes of Rhesus Macaque FcγR2A and FcγR3A with Human and Macaque IgG Subclasses. The Journal of Immunology. 205(12). 3319–3332. 8 indexed citations
7.
Wiseman, Roger W., Julie A. Karl, David Baker, et al.. (2019). MHC genotyping from rhesus macaque exome sequences. Immunogenetics. 71(8-9). 531–544. 10 indexed citations
8.
9.
Haj, Amelia K., Aaron P. Yamniuk, Julie A. Karl, et al.. (2018). Characterization of Mauritian Cynomolgus Macaque FcγR Alleles Using Long-Read Sequencing. The Journal of Immunology. 202(1). 151–159. 7 indexed citations
10.
Reynolds, Matthew R., Saverio Capuano, Roger W. Wiseman, et al.. (2017). KIR3DL01 upregulation on gut natural killer cells in response to SIV infection of KIR- and MHC class I-defined rhesus macaques. PLoS Pathogens. 13(7). e1006506–e1006506. 13 indexed citations
11.
Otting, Ńel, Nanine de Groot, Annemiek J. M. de Vos‐Rouweler, et al.. (2016). The orthologs of HLA-DQ and -DP genes display abundant levels of variability in macaque species. Immunogenetics. 69(2). 87–99. 16 indexed citations
12.
Guo, Hao, Л. Лу, Alan F. Zahorchak, et al.. (2015). Sequential Monitoring and Stability of Ex Vivo–Expanded Autologous and Nonautologous Regulatory T Cells Following Infusion in Nonhuman Primates. American Journal of Transplantation. 15(5). 1253–1266. 27 indexed citations
13.
14.
Kuhs, Krystle A. Lang, Arielle A. Ginsberg, Jian Yan, et al.. (2011). Hepatitis C Virus NS3/NS4A DNA Vaccine Induces Multiepitope T Cell Responses in Rhesus Macaques Mimicking Human Immune Responses. Molecular Therapy. 20(3). 669–678. 33 indexed citations
15.
Campbell, Kevin J., Ann Detmer, Julie A. Karl, et al.. (2008). Characterization of 47 MHC class I sequences in Filipino cynomolgus macaques. Immunogenetics. 61(3). 177–187. 39 indexed citations
16.
O’Connor, Shelby L., Alex J. Blasky, Ericka A. Becker, et al.. (2007). Comprehensive characterization of MHC class II haplotypes in Mauritian cynomolgus macaques. Immunogenetics. 59(6). 449–462. 105 indexed citations
17.
Medina, Daniel, Robert L. Ullrich, Raymond E. Meyn, Roger W. Wiseman, & L A Donehower. (2002). Environmental carcinogens and p53 tumor‐suppressor gene interactions in a transgenic mouse model for mammary carcinogenesis. Environmental and Molecular Mutagenesis. 39(2-3). 178–183. 18 indexed citations
18.
Bennett, L. Michelle, et al.. (1999). Sequence analysis of the rat Brca1 homolog and its promoter region. Mammalian Genome. 10(1). 19–25. 18 indexed citations
19.
Hegi, Monika E., Theodora R. Devereux, William F. Dietrich, et al.. (1994). Allelotype analysis of mouse lung carcinomas reveals frequent allelic losses on chromosome 4 and an association between allelic imbalances on chromosome 6 and K-ras activation.. PubMed. 54(23). 6257–64. 86 indexed citations
20.
Jerry, D. Joseph, Janet S. Butel, Lawrence A. Donehower, et al.. (1994). Infrequent p53 mutations in 7,12‐dimethylbenz[a]anthracene–induced mammary tumors in BALB/c and p53 hemizygous mice. Molecular Carcinogenesis. 9(3). 175–183. 49 indexed citations

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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