Brandi Bailey

1.4k citations
20 papers · 1.1k · h-index 12

Impact in

Papers in

    • Signaling Pathways in Disease 4
    • Cancer therapeutics and mechanisms 3
    • Pluripotent Stem Cells Research 3
    • Peptidase Inhibition and Analysis 5

Brandi Bailey

18 papers receiving 1.0k citations

Peers

Brandi Bailey
Comparison fields: 5 of 76
  • Genetics 230
  • Pathology and Forensic Medicine 290
  • Hematology 98
  • Molecular Biology 602
  • Oncology 222
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Citations per field
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Citations per year

Countries citing papers authored by Brandi Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Brandi Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2008281
2 2011185
3 2012114
4 200896
5 201170
6 201068
7 201257
8 201948
9 200934
10 201231
11 201229
12
In vitro and ex vivo activity of SDX-105 (bendamustine) in drug-resistant lymphoma cells
200422
13
Induction of growth arrest and apoptosis by MNNG is associated with up-regulation of Cdk inhibitor p21 and down-regulation of cyclooxygenase-2 expression
20047
14 20043
15
Mitotic catastrophe induced in cells treated with SDX-105 (Treanda™)
20052
16 20162
17
Brief exposure to SDX-105 (Treanda™) activates potent apoptosis and cell death in lymphoma and leukemia cells
20051
18 20151
19 20210
20 20040

About Brandi Bailey

Brandi Bailey is a scholar working on Molecular Biology, Oncology, Surgery, Pathology and Forensic Medicine and Cell Biology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (5 papers), Peptidase Inhibition and Analysis (5 papers), Signaling Pathways in Disease (4 papers), Cancer therapeutics and mechanisms (3 papers), Cancer Mechanisms and Therapy (3 papers), Pluripotent Stem Cells Research (3 papers), Immune Cell Function and Interaction (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Genetics (230 citations), Pathology and Forensic Medicine (290 citations), Hematology (98 citations), Molecular Biology (602 citations) and Oncology (222 citations). Brandi Bailey has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Mark A. Sussman, Natalie Gude, Christopher T. Cottage, Christina C. Niemeyer, Lorenzo M. Leoni, Heather Bendall, Jack Reifert, Jacques Corbeil, Gary Elliott and Kimberlee M. Fischer. Their work appears in journals such as Cancer Research, Circulation Research, Blood, Stem Cells and Clinical Cancer Research.

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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