Lisa Bailey

5.3k citations
61 papers · 3.9k indexed · 1 hit paper · h-index 25

Lisa Bailey

61 papers receiving 3.7k citations

Hit Papers

Multifactor-Dimensionality Reduction Reveals High-Order I...1.4k20012026200920174008001.2k

Peers

Lisa Bailey
Comparison fields: 5 of 142
  • Cancer Research 896
  • Genetics 1.4k
  • Pathology and Forensic Medicine 708
  • Oncology 749
  • Dermatology 241
Replace Ronald J. Weigel with:
Ronald J. Weigel United States
Timothy R. Rebbeck United States
Olaf Ortmann Germany
Chun‐Fang Xu United Kingdom
Masaaki Muramatsu Japan
Yrjö Collan Finland
Jae Hoon Chung South Korea
Shibing Deng United States
Sacha J. Howell United Kingdom
Takuya Moriya Japan
Lisa Bailey relative to Ronald J. Weigel United States Ronald J. Weigel's profile →
Citations per field
00.5×1.5×2.5×
Ronald J. Weigel · 1×
Citations per year

Countries citing papers authored by Lisa Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20205
3 201811
4 201740
5 201624
6 201552
7 201367
8 201365
9 20124
10 20129
11 20118
12 201013
13 20103
14 2008196
15 200290
16
Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancerbreakdown →
20011441
17 20017
18 199855
19
Polymorphism at the glutathione S-transferase locus GSTM3: interactions with cytochrome P450 and glutathione S-transferase genotypes as risk factors for multiple cutaneous basal cell carcinoma.
1996104
20 1995220

About Lisa Bailey

Lisa Bailey is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 61 papers that have together received 3.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (23 papers), Breast Lesions and Carcinomas (15 papers), Global Cancer Incidence and Screening (8 papers), Medical Imaging Techniques and Applications (7 papers), BRCA gene mutations in cancer (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (4 papers) and Breast Implant and Reconstruction (4 papers). The work is most often cited by research in Cancer Research (896 citations), Genetics (1.4k citations) and Pathology and Forensic Medicine (708 citations). Lisa Bailey has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Fritz F. Parl, Nady Roodi, William D. Dupont, Jason H. Moore, Marylyn D. Ritchie, Lance W. Hahn, C S Verrier, Cindy J. Yee, Carl J. D’Orsi and Mary S. Newell. Their work appears in journals such as Journal of the American College of Radiology, Journal of Clinical Oncology, Annals of Surgical Oncology, The Breast Journal and The Breast.

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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