Wayne Jackson

590 citations
9 papers · 522 · h-index 8

Impact in

Papers in

    • Synthesis and biological activity 6
    • Quinazolinone synthesis and applications 1
    • Multiple Myeloma Research and Treatments 1

Wayne Jackson

9 papers receiving 496 citations

Peers

Wayne Jackson
Comparison fields: 5 of 43
  • Organic Chemistry 247
  • Computational Theory and Mathematics 121
  • Oncology 85
  • Cell Biology 38
  • Pathology and Forensic Medicine 25
Replace G. Griffiths with:
G. Griffiths United Kingdom
Christopher K. Meades United Kingdom
Wilma Pastori Italy
Gavin Wood United Kingdom
Simon Crumpler United Kingdom
Songfeng Lu United States
Rita Perego Italy
Gabriella Traquandi Italy
Nobuhiko Kawanishi
Kristen A. Kellar United States
Wayne Jackson relative to G. Griffiths United Kingdom G. Griffiths's profile →
Citations per field
00.5×1.6×
G. Griffiths · 1×
Citations per year

Countries citing papers authored by Wayne Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wayne Jackson, 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 Wayne Jackson Line = papers co-authored together Wayne Jackson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004135
2 201091
3 201088
4 200457
5 200457
6 201735
7 201131
8 201027
9
Novel cyclin dependent kinase (CDK) inhibitors induce down regulation of Mcl-1 and apoptosis in multiple myeloma cells
20061

About Wayne Jackson

Wayne Jackson is a scholar working on Organic Chemistry, Hematology, Cell Biology, Computational Theory and Mathematics and Oncology, having authored 9 papers that have together received 522 indexed citations. Recurring topics across this work include Synthesis and biological activity (6 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Microtubule and mitosis dynamics (1 paper), Advanced Breast Cancer Therapies (1 paper), Quinazolinone synthesis and applications (1 paper), Cancer-related Molecular Pathways (1 paper), Computational Drug Discovery Methods (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Organic Chemistry (247 citations), Computational Theory and Mathematics (121 citations), Oncology (85 citations), Cell Biology (38 citations) and Pathology and Forensic Medicine (25 citations). Wayne Jackson has collaborated with scholars based in United Kingdom. Frequent co-authors include Peter M. Fischer, Shudong Wang, Christopher K. Meades, Gavin Wood, Mokdad Mezna, MARK P. THOMAS, G. Griffiths, Iain W. McNae, Carol Midgley and Malcolm D. Walkinshaw. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Cancer Research, Bioorganic & Medicinal Chemistry and Molecular Oncology.

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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