Brian D. Young

920 citations
24 papers · 750 · h-index 17

Impact in

  • Aging top 10%
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Photosynthetic Processes and Mechanisms
    • RNA modifications and cancer

Papers in

Brian D. Young

24 papers receiving 736 citations

Peers

Brian D. Young
Comparison fields: 5 of 84
  • Aging 36
  • Molecular Biology 469
  • Hematology 64
  • Genetics 55
  • Plant Science 190
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Citations per year

Countries citing papers authored by Brian D. Young

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian D. Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian D. Young Line = papers co-authored together Brian D. Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007165
2 201397
3 201068
4 201252
5 201238
6
Concurrent activation of MYC and BCL2 in B cell non-Hodgkin lymphoma cell lines by translocation of both oncogenes to the same immunoglobulin heavy chain locus.
199634
7
Detection and significance of bcr-abl mRNA transcripts and fusion proteins in Philadelphia-positive adult acute lymphoblastic leukemia.
199332
8 201529
9 201927
10 202126
11 201126
12 201923
13 202122
14 198721
15 199120
16 198917
17
Establishment of a lymphoblastoid cell line, SD-1, expressing the p190 bcr-abl chimaeric protein.
199116
18
The t(14;18) in a patient with de novo acute lymphoblastic leukemia is associated with t(8;9).
199411
19 20159
20 19917

About Brian D. Young

Brian D. Young is a scholar working on Molecular Biology, Plant Science, Genetics, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 24 papers that have together received 750 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer-related gene regulation (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Prenatal Screening and Diagnostics (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Aging (36 citations), Molecular Biology (469 citations), Hematology (64 citations), Genetics (55 citations) and Plant Science (190 citations). Brian D. Young has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Steven Clarke, Charles Brenner, Tara A. Gomez, Carole L. Linster, Lital N. Adler, Kristofor J. Webb, Cecilia I. Zurita‐Lopez, Aaron M. Hosios, Marshall Louis Reaves and Joshua D. Rabinowitz. Their work appears in journals such as Journal of Biological Chemistry, Journal of Proteome Research, Journal of Molecular Endocrinology, Biochemistry and Leukemia.

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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