Linda Moy

32.0k citations
205 papers · 8.8k indexed · 6 hit papers · h-index 49
Topics
MRI in cancer diagnosis (85 papers)Radiomics and Machine Learning in Medical Imaging (72 papers)Advanced MRI Techniques and Applications (48 papers)

In The Last Decade

Linda Moy

196 papers receiving 8.6k citations

Hit Papers

Learning From Crowds201020262015202020102019201820232023200400600

Peers

Linda Moy
Comparison fields: 5 of 171
  • Radiology, Nuclear Medicine and Imaging 4.8k
  • Artificial Intelligence 2.2k
  • Cancer Research 1.6k
  • Oncology 1.6k
  • Pathology and Forensic Medicine 1.6k
Replace Frederick Klauschen with:
Frederick Klauschen Germany
Daniel L. Rubin United States
Jarrett Rosenberg United States
Andrew H. Beck United States
Mikael Lundin Finland
Marcus R. Makowski Germany
Peter E. Clark United States
Justin Ko United States
Alexander T. Pearson United States
Vincenzo Valentini Italy
Linda Moy relative to Frederick Klauschen Germany Frederick Klauschen's profile →
Citations per field
00.5×5.4×
Frederick Klauschen · 1×
Citations per year

Countries citing papers authored by Linda Moy

Since Specialization
Citations

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

Fields of papers citing papers by Linda Moy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Moy

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Moy. A scholar is included among the top collaborators of Linda Moy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda Moy. Linda Moy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 0
5 2
6 1
7 1
8 2
9
Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysisbreakdown →
85
10 9
11 8
12 6
13 2
14 79
15 25
16 14
17 7
18 19
19 15
20 122

About Linda Moy

Linda Moy is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 205 papers that have together received 8.8k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (85 papers), Radiomics and Machine Learning in Medical Imaging (72 papers) and Advanced MRI Techniques and Applications (48 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.8k citations), Health Informatics (208 citations) and Computer Science Applications (601 citations). Linda Moy has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Ritse M. Mann, Samantha L. Heller, Nariya Cho, Mary S. Newell, Debra L. Monticciolo, Krzysztof J. Geras, Gerardo Hermosillo Valadez, Luca Bogoni, Sungheon Kim and Amy N. Melsaether. Their work appears in journals such as Journal of Clinical Oncology, PLANT PHYSIOLOGY and Remote Sensing of Environment.

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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