Jane Snowdon

38 papers receiving 1.7k citations

Jane Snowdon's Hit Papers

Precision Medicine, AI, and the Future of Personalized Health Care 2020 · 923 citations
9230+2+4Years since publication250500750

Peers

Jane Snowdon
Comparison fields: 5 of 170
  • Health Informatics 332
  • Health Information Management 141
  • Industrial and Manufacturing Engineering 116
  • Applied Psychology 47
  • Radiology, Nuclear Medicine and Imaging 210
Replace Zoie Shui-Yee Wong with:
Zoie Shui-Yee Wong Japan
Zubair Shah Qatar
Amar K. Das United States
Elliot Mbunge Eswatini
Hisham A. Badreldin Saudi Arabia
Fei Jiang United States
Timo Minssen Denmark
Hee Hwang South Korea
Onur Asan United States
Majed S. Al Yami Saudi Arabia
Jane Snowdon relative to Zoie Shui-Yee Wong Japan Zoie Shui-Yee Wong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jane Snowdon

Since Specialization
Citations

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

Fields of papers citing papers by Jane Snowdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Precision Medicine, AI, and the Future of Personalized Health Care
Hit paper breakdown →
2020923
2 2020154
3 2019124
4 2018114
5 1994100
6 201782
7 202055
8 199425
9 202123
10 202321
11
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
200220
12 200917
13 201914
14 202014
15 201713
16 202112
17 202010
18 202010
19 20009
20 20118

About Jane Snowdon

Jane Snowdon is a scholar working on Artificial Intelligence, Computer Networks and Communications, General Health Professions, Cancer Research and Molecular Biology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cutaneous Melanoma Detection and Management (2 papers), Mobile Health and mHealth Applications (2 papers), Service-Oriented Architecture and Web Services (2 papers), Advanced Software Engineering Methodologies (2 papers), Scheduling and Optimization Algorithms (2 papers), Simulation Techniques and Applications (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Health Informatics (332 citations), Health Information Management (141 citations), Industrial and Manufacturing Engineering (116 citations), Applied Psychology (47 citations) and Radiology, Nuclear Medicine and Imaging (210 citations). Jane Snowdon has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Dilhan Weeraratne, Kyu Rhee, Juan Zhao, Kevin B. Johnson, Wei‐Qi Wei, Karl E. Misulis, Mark E. Frisse, Laxmi Parida, Takahiko Koyama and Haldun Aytuğ. Their work appears in journals such as IBM Journal of Research and Development, Journal of Clinical Oncology, Journal of Medical Internet Research, JCO Oncology Practice and Journal of Cancer Research and Clinical Oncology.

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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