Janet E. Bailey

2.0k citations
49 papers · 1.1k · h-index 18

Impact in

Papers in

Janet E. Bailey

46 papers receiving 1.1k citations

Peers

Janet E. Bailey
Comparison fields: 5 of 100
  • Radiology, Nuclear Medicine and Imaging 528
  • Artificial Intelligence 396
  • Cancer Research 161
  • Pulmonary and Respiratory Medicine 349
  • Critical Care and Intensive Care Medicine 52
Replace Sujata V. Ghate with:
Sujata V. Ghate United States
Mary Rickard Australia
Rosalind Given-Wilson United Kingdom
Jessica C. Sieren United States
Qingxia Wu China
Erini Makariou United States
E A Sickles United States
Franck Vandenbroucke‐Menu Canada
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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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007109
2 200694
3 200485
4 200472
5 201268
6 200467
7 200464
8 200257
9 200448
10 201047
11 200842
12 197642
13 201432
14 200629
15 200028
16 200925
17 197723
18 201223
19 201117
20 200516

About Janet E. Bailey

Janet E. Bailey is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence and Critical Care and Intensive Care Medicine, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiology practices and education (14 papers), AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (11 papers), Radiation Dose and Imaging (11 papers), Global Cancer Incidence and Screening (6 papers), Medical Imaging Techniques and Applications (5 papers), Innovations in Medical Education (5 papers) and Ultrasound in Clinical Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (528 citations), Artificial Intelligence (396 citations), Cancer Research (161 citations), Pulmonary and Respiratory Medicine (349 citations) and Critical Care and Intensive Care Medicine (52 citations). Janet E. Bailey has collaborated with scholars based in United States, Italy and Slovakia. 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 Lawrence B. Marks. Their work appears in journals such as Academic Radiology, Radiology, Journal of the American College of Radiology, Medical Physics 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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