Brian T. Wilhelm

4.4k total citations · 1 hit paper
54 papers, 3.2k citations indexed

About

Brian T. Wilhelm is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Brian T. Wilhelm has authored 54 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 16 papers in Hematology and 14 papers in Immunology. Recurrent topics in Brian T. Wilhelm's work include Acute Myeloid Leukemia Research (15 papers), Immune Cell Function and Interaction (12 papers) and Genomics and Chromatin Dynamics (12 papers). Brian T. Wilhelm is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Immune Cell Function and Interaction (12 papers) and Genomics and Chromatin Dynamics (12 papers). Brian T. Wilhelm collaborates with scholars based in Canada, United Kingdom and United States. Brian T. Wilhelm's co-authors include Josette‐Renée Landry, Dixie L. Mager, Jürg Bähler, Samuel Marguerat, Ian Goodhead, Stephen Watt, Falk Schubert, Christopher J. Penkett, Jane Rogers and Valerie Wood and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Brian T. Wilhelm

53 papers receiving 3.2k citations

Hit Papers

Dynamic repertoire of a eukaryotic transcriptome surveyed... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian T. Wilhelm Canada 26 2.3k 645 431 373 302 54 3.2k
Melissa L. Holmes Australia 25 1.9k 0.8× 403 0.6× 272 0.6× 245 0.7× 162 0.5× 36 2.8k
Dariusz Przybylski United States 11 1.8k 0.8× 440 0.7× 191 0.4× 268 0.7× 555 1.8× 11 2.8k
Sarah Kummerfeld Australia 21 2.2k 1.0× 429 0.7× 329 0.8× 116 0.3× 191 0.6× 40 3.1k
Simon J. McGowan United Kingdom 36 2.8k 1.2× 415 0.6× 350 0.8× 227 0.6× 496 1.6× 67 4.0k
Kate L. Jeffrey United States 19 2.4k 1.1× 1.3k 2.1× 481 1.1× 491 1.3× 89 0.3× 33 3.7k
Thérèse Commes France 28 1.7k 0.7× 275 0.4× 416 1.0× 195 0.5× 122 0.4× 78 2.5k
Anthony G. Uren United Kingdom 22 2.5k 1.1× 514 0.8× 445 1.0× 172 0.5× 248 0.8× 32 3.1k
Saiful Islam United States 16 2.2k 0.9× 658 1.0× 647 1.5× 267 0.7× 64 0.2× 34 2.8k
Scott A. Ness United States 34 2.5k 1.1× 992 1.5× 635 1.5× 399 1.1× 151 0.5× 85 4.0k
Allen Delaney Canada 25 3.0k 1.3× 465 0.7× 1.2k 2.7× 221 0.6× 393 1.3× 41 4.2k

Countries citing papers authored by Brian T. Wilhelm

Since Specialization
Citations

This map shows the geographic impact of Brian T. Wilhelm'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 Brian T. Wilhelm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Wilhelm more than expected).

Fields of papers citing papers by Brian T. Wilhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian T. Wilhelm. 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 Brian T. Wilhelm. The network helps show where Brian T. Wilhelm may publish in the future.

Co-authorship network of co-authors of Brian T. Wilhelm

This figure shows the co-authorship network connecting the top 25 collaborators of Brian T. Wilhelm. A scholar is included among the top collaborators of Brian T. Wilhelm 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 Brian T. Wilhelm. Brian T. Wilhelm 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.
Pellacani, Davide, Naoto Nakamichi, Colin A. Hammond, et al.. (2020). MYC-induced human acute myeloid leukemia requires a continuing IL-3/GM-CSF costimulus. Blood. 136(24). 2764–2773. 18 indexed citations
2.
Bergeron, Anne, Josée Hébert, Soheil Meshinchi, et al.. (2020). Epigenetic changes in human model KMT2A leukemias highlight early events during leukemogenesis. Haematologica. 107(1). 86–99. 12 indexed citations
3.
Landry, Josette‐Renée, Loubna Jouan, Mélanie Bilodeau, et al.. (2019). Cryptic recurrent ACIN1NUTM1 fusions in non‐KMT2A‐rearranged infant acute lymphoblastic leukemia. Genes Chromosomes and Cancer. 59(2). 125–130. 22 indexed citations
4.
Canaj, Hera, et al.. (2019). Pediatric leukemia: Moving toward more accurate models. Experimental Hematology. 74. 1–12. 10 indexed citations
5.
Wilhelm, Brian T., et al.. (2017). Mining Cancer Transcriptomes: Bioinformatic Tools and the Remaining Challenges. Molecular Diagnosis & Therapy. 21(3). 249–258. 12 indexed citations
6.
Gaudreau, Marie‐Claude, Damien Grapton, Charles Vadnais, et al.. (2016). Loss of heterogeneous nuclear ribonucleoprotein L (HNRNP L) leads to mitochondrial dysfunction, DNA damage response and caspase-dependent cell death in hematopoietic stem cells. Experimental Hematology. 44(9). S78–S79. 1 indexed citations
7.
Forest, Audrey, et al.. (2015). Whole genome and transcriptome analysis of a novel AML cell line with a normal karyotype. Leukemia Research. 39(7). 709–718. 3 indexed citations
8.
Lavallée, Vincent‐Philippe, Irène Baccelli, Jana Krošl, et al.. (2015). The transcriptomic landscape and directed chemical interrogation of MLL-rearranged acute myeloid leukemias. Nature Genetics. 47(9). 1030–1037. 87 indexed citations
9.
Delisle, Jean‐Sébastien, Geneviève Boucher, Sébastien Lemieux, et al.. (2013). The TGF-β-Smad3 pathway inhibits CD28-dependent cell growth and proliferation of CD4 T cells. Genes and Immunity. 14(2). 115–126. 63 indexed citations
10.
Bélanger, Simon, Megan M. Tu, Mir Munir A. Rahim, et al.. (2012). Impaired natural killer cell self-education and “missing-self” responses in Ly49-deficient mice. Blood. 120(3). 592–602. 56 indexed citations
11.
Simon, Camille, Jalila Chagraoui, Jana Krošl, et al.. (2012). A key role for EZH2 and associated genes in mouse and human adult T-cell acute leukemia. Genes & Development. 26(7). 651–656. 201 indexed citations
13.
Lackner, Daniel H., Gabriella Rustici, Brian T. Wilhelm, et al.. (2009). The Fission Yeast Homeodomain Protein Yox1p Binds to MBF and Confines MBF-Dependent Cell-Cycle Transcription to G1-S via Negative Feedback. PLoS Genetics. 5(8). e1000626–e1000626. 38 indexed citations
14.
Marguerat, Samuel, Thomas Jensen, Ulrik de Lichtenberg, et al.. (2006). The more the merrier: comparative analysis of microarray studies on cell cycle‐regulated genes in fission yeast. Yeast. 23(4). 261–277. 48 indexed citations
15.
Wilhelm, Brian T., Josette‐Renée Landry, Fumio Takei, & Dixie L. Mager. (2003). Transcriptional Control of Murine CD94 Gene: Differential Usage of Dual Promoters by Lymphoid Cell Types. The Journal of Immunology. 171(8). 4219–4226. 19 indexed citations
16.
Gagnier, Liane, Brian T. Wilhelm, & Dixie L. Mager. (2003). Ly49 genes in non-rodent mammals. Immunogenetics. 55(2). 109–115. 46 indexed citations
17.
Wilhelm, Brian T., et al.. (2003). Acquisition of MHC-Specific Receptors on Murine Natural Killer Cells. Critical Reviews in Immunology. 23(4). 251–266. 20 indexed citations
18.
Landry, Josette‐Renée, Dixie L. Mager, & Brian T. Wilhelm. (2003). Complex controls: the role of alternative promoters in mammalian genomes. Trends in Genetics. 19(11). 640–648. 256 indexed citations
19.
Wilhelm, Brian T., Liane Gagnier, & Dixie L. Mager. (2002). Sequence Analysis of the Ly49 Cluster in C57BL/6 Mice: A Rapidly Evolving Multigene Family in the Immune System. Genomics. 80(6). 646–661. 65 indexed citations
20.
Wilhelm, Brian T., Karina L. McQueen, Dixie L. Mager, & Fumio Takei. (2001). Functional analysis of 5? and 3? regions of the closely related Ly49c and j genes. Immunogenetics. 52(3-4). 212–223. 18 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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