Jane Snowdon

36 papers receiving 1.6k citations

Hit Papers

Precision Medicine, AI, and the Future of Personalized Health Care 2020 · 837 citations
8372020202620222024250500750

Peers

Jane Snowdon
Comparison fields: 5 of 172
  • Health Informatics 359
  • Health Information Management 169
  • Applied Psychology 66
  • Industrial and Manufacturing Engineering 115
  • Radiology, Nuclear Medicine and Imaging 249
Replace Zoie Shui-Yee Wong with:
Zoie Shui-Yee Wong Japan
Zubair Shah Qatar
Amar K. Das United States
Hee Hwang South Korea
Daniel Capurro Australia
Onur Asan United States
Reza Safdari Iran
Hisham A. Badreldin Saudi Arabia
Fei Jiang United States
Timo Minssen Denmark
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-authorship network

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
#Work
1 202318
2 20223
3 202121
4 20215
5 20210
6 20211
7 20210
8 20204
9 202012
10 20207
11 202049
12 2019120
13 20191
14 201913
15 2018104
16 20181
17 20118
18
Enhanced Professional Networking and its Impact on Personal Development and Business Success
20081
19
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
200220
20 199498

About Jane Snowdon

Jane Snowdon is a scholar working on Health Informatics, Health Information Management, Cancer Research, General Health Professions and Discrete Mathematics and Combinatorics, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), BRCA gene mutations in cancer (3 papers), Lung Cancer Treatments and Mutations (3 papers), Ethics in Clinical Research (3 papers), Mobile Health and mHealth Applications (3 papers), Scheduling and Optimization Algorithms (2 papers), vaccines and immunoinformatics approaches (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Health Informatics (359 citations), Health Information Management (169 citations), Applied Psychology (66 citations), Industrial and Manufacturing Engineering (115 citations) and Radiology, Nuclear Medicine and Imaging (249 citations). Jane Snowdon has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Dilhan Weeraratne, Kyu Rhee, Mark E. Frisse, Karl E. Misulis, Wei‐Qi Wei, Juan Zhao, Kevin B. Johnson, Takahiko Koyama, Laxmi Parida and Haldun Aytuğ. Their work appears in journals such as IBM Journal of Research and Development, Journal of Clinical Oncology, Computers & Operations Research, Journal of the Operational Research Society and Information Systems Frontiers.

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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