Terri Lee
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
-
- Nuclear Structure and Function 2
- Glycosylation and Glycoproteins Research 1
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Yu Chen (3 shared papers)R. Dyche Mullins (2 shared papers)Brittany J. Belin (2 shared papers)Scott A. Jensen (1 shared paper)Leslie Jordan Albert (1 shared paper)Sambhav Gupta (1 shared paper)Pamela J. Björkman (4 shared papers)Han Gao (3 shared papers)
- Journals
- eLife (2 papers)The Journal of Experimental Medicine (1 paper)Information Systems Frontiers (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Terri Lee
9 papers receiving 657 citations
Terri Lee's Hit Papers
Peers
Comparison fields: 5 of 95
- Health Informatics 114
- Computer Science Applications 142
- Virology 99
- Artificial Intelligence 172
- Cell Biology 80
Countries citing papers authored by Terri Lee
This map shows the geographic impact of Terri Lee'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 Terri Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terri Lee more than expected).
Fields of papers citing papers by Terri Lee
This network shows the impact of papers produced by Terri Lee. 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 Terri Lee. The network helps show where Terri Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Terri Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success Hit paper breakdown → | 2022 | 325 |
| 2 | 2015 | 184 | |
| 3 | 2013 | 69 | |
| 4 | 2013 | 50 | |
| 5 | 2014 | 28 | |
| 6 | 2015 | 14 | |
| 7 | 2021 | 6 | |
| 8 | Intelligent Career Advisers in Your Pocket? A Need Assessment Study of Chatbots for Student Career Advising | 2019 | 5 |
| 9 | Overcoming HIV pathways for escape using rationally-designed anti-HIV antibodies | 2013 | 1 |
About Terri Lee
Terri Lee is a scholar working on Molecular Biology, Virology, Artificial Intelligence, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 682 indexed citations. Recurring topics across this work include AI in Service Interactions (3 papers), HIV Research and Treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Cellular Mechanics and Interactions (2 papers), Nuclear Structure and Function (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Online and Blended Learning (1 paper). The work is most often cited by research in Health Informatics (114 citations), Computer Science Applications (142 citations), Virology (99 citations), Artificial Intelligence (172 citations) and Cell Biology (80 citations). Terri Lee has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Yu Chen, R. Dyche Mullins, Brittany J. Belin, Scott A. Jensen, Leslie Jordan Albert, Sambhav Gupta, Pamela J. Björkman, Han Gao, Anthony P. West and Ron Diskin. Their work appears in journals such as eLife, The Journal of Experimental Medicine, Information Systems Frontiers, Proceedings of the National Academy of Sciences and PLoS Pathogens.
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.