Brad E. Windle

949 citations
12 papers · 349 · h-index 10

Impact in

Papers in

    • Cancer-related Molecular Pathways 7
    • Cytokine Signaling Pathways and Interactions 2
    • Machine Learning in Bioinformatics 2
    • Epigenetics and DNA Methylation 2
    • Bioinformatics and Genomic Networks 2

Brad E. Windle

12 papers receiving 347 citations

Peers

Brad E. Windle
Comparison fields: 5 of 51
  • Oncology 206
  • Biotechnology 50
  • Cancer Research 82
  • Molecular Biology 213
  • Cell Biology 41
Replace Mallika Ramakrishnan with:
Mallika Ramakrishnan Germany
Sally Hopkins-Donaldson Switzerland
Christopher M. Hoffmann Germany
Sok Meng Evelyn Ng United States
Daniel Garcia United States
Clay L. Efferson United States
Phillip H. Koeffler United States
Conception Paul France
Bin Kan China
Yan Stein Israel
Brad E. Windle relative to Mallika Ramakrishnan Germany Mallika Ramakrishnan's profile →
Citations per field
00.5×
Mallika Ramakrishnan · 1×
Citations per year

Countries citing papers authored by Brad E. Windle

Since Specialization
Citations

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

Fields of papers citing papers by Brad E. Windle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brad E. Windle. 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 Brad E. Windle. The network helps show where Brad E. Windle may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2011103
2 201979
3 201149
4 201220
5 202118
6 201617
7 201915
8 201714
9 202112
10 201412
11 20115
12 20055

About Brad E. Windle

Brad E. Windle is a scholar working on Oncology, Molecular Biology, Biotechnology, Cancer Research and Epidemiology, having authored 12 papers that have together received 349 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Cancer Research and Treatments (3 papers), Machine Learning in Bioinformatics (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cervical Cancer and HPV Research (2 papers), Epigenetics and DNA Methylation (2 papers), NF-κB Signaling Pathways (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Oncology (206 citations), Biotechnology (50 citations), Cancer Research (82 citations), Molecular Biology (213 citations) and Cell Biology (41 citations). Brad E. Windle has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Catherine A. Vaughan, Sumitra Deb, Swati Palit Deb, W. Andrew Yeudall, Shilpa Singh, Iain M. Morgan, Tara J. Nulton, Anna Bulysheva, Hiroshi Miyazaki and Elizabeth White. Their work appears in journals such as Oncotarget, Cancers, Molecular Oncology, Nature Communications and BMC Bioinformatics.

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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