Jennifer Lin
- Molecular Biology top 10%
- Genetics top 5%
- Oncology top 5%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Shumin M. ZhangJoAnn E. MansonJulie E. BuringBrian K. SuarezI‐Min LeeTheodore ReichRobert CulverhouseNancy R. Cook
- Topics
- Cancer, Lipids, and Metabolism (13 papers)Nutritional Studies and Diet (8 papers)Research Data Management Practices (8 papers)
- Partner nations
- United StatesUnited KingdomVietnam
In The Last Decade
Jennifer Lin
97 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 905
- Genetics 603
- Oncology 576
- Cancer Research 479
- Pathology and Forensic Medicine 384
Countries citing papers authored by Jennifer Lin
This map shows the geographic impact of Jennifer Lin'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 Jennifer Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Lin more than expected).
Fields of papers citing papers by Jennifer Lin
This network shows the impact of papers produced by Jennifer Lin. 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 Jennifer Lin. The network helps show where Jennifer Lin may publish in the future.
Co-authorship network of co-authors of Jennifer Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Lin. A scholar is included among the top collaborators of Jennifer Lin 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 Jennifer Lin. Jennifer Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | Abstract 15849: Use of Machine Learning to Determine Stroke Severity of Patients Diagnosed With Stroke in Integrated Claims-Medical Records Dataset | 1 |
| 5 | 118 | |
| 6 | 18 | |
| 7 | 13 | |
| 8 | 39 | |
| 9 | 4 | |
| 10 | 127 | |
| 11 | 3 | |
| 12 | 20 | |
| 13 | 14 | |
| 14 | 96 | |
| 15 | 73 | |
| 16 | 79 | |
| 17 | 79 | |
| 18 | 58 | |
| 19 | 8 | |
| 20 | 292 |
About Jennifer Lin
Jennifer Lin is a scholar working on Information Systems and Management, Cancer Research and Statistics, Probability and Uncertainty, having authored 103 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (13 papers), Nutritional Studies and Diet (8 papers) and Research Data Management Practices (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (296 citations), Information Systems and Management (268 citations) and Cancer Research (479 citations). Jennifer Lin has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Shumin M. Zhang, JoAnn E. Manson, Julie E. Buring, Brian K. Suarez, I‐Min Lee, Theodore Reich, Robert Culverhouse, Nancy R. Cook, Bryan R. Cullen and Edward L. Giovannucci. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Genes & Development.
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.