Kathryn M. Taylor

716 citations
25 papers · 528 · h-index 11

Impact in

Papers in

Kathryn M. Taylor

23 papers receiving 484 citations

Peers

Kathryn M. Taylor
Comparison fields: 5 of 90
  • General Health Professions 193
  • Medical Laboratory Technology 10
  • Radiological and Ultrasound Technology 28
  • Public Health, Environmental and Occupational Health 122
  • Statistics, Probability and Uncertainty 24
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Citations per year

Countries citing papers authored by Kathryn M. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn M. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn M. Taylor. 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 Kathryn M. Taylor. The network helps show where Kathryn M. Taylor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198882
2 200178
3 200874
4 199666
5 198758
6 201333
7 202220
8
Legal and ethical issues in genetic testing and counseling for susceptibility to breast, ovarian and colon cancer.
199615
9 199913
10 202212
11 202010
12
A sociobehavioural perspective on genetic testing and counselling for heritable breast, ovarian and colon cancer.
199610
13 20189
14 20199
15 20029
16
The emerging role of the physician in genetic counselling and testing for heritable breast, ovarian and colon cancer.
19969
17 20194
18 20194
19 20204
20 20223

About Kathryn M. Taylor

Kathryn M. Taylor is a scholar working on General Health Professions, Genetics, Clinical Psychology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 25 papers that have together received 528 indexed citations. Recurring topics across this work include Homelessness and Social Issues (5 papers), BRCA gene mutations in cancer (4 papers), Patient-Provider Communication in Healthcare (3 papers), Palliative Care and End-of-Life Issues (2 papers), Memory and Neural Mechanisms (2 papers), Genetic factors in colorectal cancer (2 papers), Adolescent and Pediatric Healthcare (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in General Health Professions (193 citations), Medical Laboratory Technology (10 citations), Radiological and Ultrasound Technology (28 citations), Public Health, Environmental and Occupational Health (122 citations) and Statistics, Probability and Uncertainty (24 citations). Kathryn M. Taylor has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Louise Sharpe, Merrijoy Kelner, Andrea Bezjak, A.D. DePetrillo, Peggy Ng, Robert L. Comis, Roland T. Skeel, Emily H. Sparer, Jack T. Dennerlein and Lauren A. Murphy. Their work appears in journals such as BMC Public Health, Quality of Life Research, American Journal of Industrial Medicine, Schizophrenia Research and International Journal for Equity in Health.

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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