Linda Coyle

32 papers receiving 1.6k citations

Hit Papers

Design and Serendipity in Establishing a Large Cohort wit...20012026200920172001100200300400500

Peers

Linda Coyle
Comparison fields: 5 of 154
  • Public Health, Environmental and Occupational Health 504
  • Artificial Intelligence 406
  • Oncology 304
  • Physiology 216
  • Molecular Biology 215
Replace Xuhong Hou with:
Xuhong Hou China
Lilly Q. Yue United States
Suzette J. Bielinski United States
Haijiang Dai China
Katherine P. Liao United States
Yu Rang Park South Korea
Hun‐Sung Kim South Korea
Md. Mohaimenul Islam Taiwan
Martin Thoenes Germany
Kevin T. Nead United States
Linda Coyle relative to Xuhong Hou China Xuhong Hou's profile →
Citations per field
00.5×1.5×2.4×
Xuhong Hou · 1×
Citations per year

Countries citing papers authored by Linda Coyle

Since Specialization
Citations

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

Fields of papers citing papers by Linda Coyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Coyle

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Coyle. A scholar is included among the top collaborators of Linda Coyle 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 Coyle. Linda Coyle 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 6
2 1
3 3
4 10
5 12
6 37
7 25
8 104
9 10
10 31
11 15
12
Impact of Linkage to the Social Security Administration on Follow-up Completeness and Cancer Relative Survival Estimates in 2 New SEER Registries: 2000-2016 Diagnosis Years.
2
13 223
14 40
15 56
16 26
17 4
18
Design and Serendipity in Establishing a Large Cohort with Wide Dietary Intake Distributionsbreakdown →
505
19 261
20 78

About Linda Coyle

Linda Coyle is a scholar working on Health Informatics, Artificial Intelligence and Health Information Management, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Machine Learning in Healthcare (8 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Health Informatics (58 citations), Public Health, Environmental and Occupational Health (504 citations) and Health Information Management (73 citations). Linda Coyle has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gladys Block, Anne M. Hartman, Jennifer L. Stevens, Xiao‐Cheng Wu, André Gonçalves, Ana Paula Sales, Priyadip Ray, Braden Soper, Albert R. Hollenbeck and Amy F. Subar. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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