Janet E. Bailey

44 papers receiving 1.5k citations

Janet E. Bailey's Hit Papers

Breast Cancer, Version 3.2024, NCCN Clinical Practice Guidelines in Oncology 2024 · 318 citations
3180+1Years since publication100200300

Peers

Janet E. Bailey
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 347
  • Cancer Research 194
  • Health Informatics 34
  • Pulmonary and Respiratory Medicine 422
  • Pathology and Forensic Medicine 144
Replace Peter M. Jokich with:
Peter M. Jokich United States
Phoebe E. Freer United States
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Meenakshi Thakur India
Daniele La Forgia Italy
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Janet E. Bailey relative to Peter M. Jokich United States Peter M. Jokich's profile →
Citations per field
00.5×5×10×12.9×
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Citations per year

Countries citing papers authored by Janet E. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Breast Cancer, Version 3.2024, NCCN Clinical Practice Guidelines in Oncology
Hit paper breakdown →
2024318
2 2007117
3 2006108
4 200490
5 200482
6 200474
7 200473
8 201270
9 200260
10 200452
11 201050
12 200843
13 200636
14 201436
15 200028
16 200925
17 201223
18 202521
19 201119
20 200517

About Janet E. Bailey

Janet E. Bailey is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Cancer Research and Pathology and Forensic Medicine, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiology practices and education (14 papers), Digital Radiography and Breast Imaging (12 papers), AI in cancer detection (6 papers), Breast Cancer Treatment Studies (3 papers), Breast Lesions and Carcinomas (3 papers), Innovations in Medical Education (2 papers), Medical Education and Admissions (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (347 citations), Cancer Research (194 citations), Health Informatics (34 citations), Pulmonary and Respiratory Medicine (422 citations) and Pathology and Forensic Medicine (144 citations). Janet E. Bailey has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Mark A. Helvie, Marilyn A. Roubidoux, Heang‐Ping Chan, Katherine A. Klein, Caroline E. Blane, Chintana Paramagul, Lubomir M. Hadjiiski, Berkman Sahiner, Alexis V. Nees and Linda Ann Wray. Their work appears in journals such as Academic Radiology, Radiology, Journal of the American College of Radiology, Journal of the National Comprehensive Cancer Network and International Journal of Radiation Oncology*Biology*Physics.

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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