Theodore Kee
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Transplantation top 10%
Papers in
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- Graphene and Nanomaterials Applications 3
-
- Protein Degradation and Inhibitors 2
- Co-authors
- Dean Ho (15 shared papers)Agata Blasiak (9 shared papers)Peter Wang (6 shared papers)Jeffrey Khong (2 shared papers)Chih‐Ming Ho (5 shared papers)B. Glenn Stanley (1 shared paper)Jonathan R. Charles (1 shared paper)Aleidy Silva (2 shared papers)
- Journals
- Advanced Therapeutics (5 papers)Proceedings of the National Academy of Sciences (2 papers)SLAS TECHNOLOGY (2 papers)BMJ Open (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Theodore Kee
19 papers receiving 914 citations
Peers
Comparison fields: 5 of 129
- Health Informatics 112
- Transplantation 24
- Endocrine and Autonomic Systems 53
- Health Information Management 37
- Computational Theory and Mathematics 135
Countries citing papers authored by Theodore Kee
This map shows the geographic impact of Theodore Kee'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 Theodore Kee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theodore Kee more than expected).
Fields of papers citing papers by Theodore Kee
This network shows the impact of papers produced by Theodore Kee. 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 Theodore Kee. The network helps show where Theodore Kee may publish in the future.
Co-authors
The 25 scholars most cited alongside Theodore Kee, 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 | 2019 | 145 | |
| 2 | 2016 | 125 | |
| 3 | 2018 | 111 | |
| 4 | 2018 | 94 | |
| 5 | 2011 | 91 | |
| 6 | 2016 | 76 | |
| 7 | 2017 | 63 | |
| 8 | 2020 | 47 | |
| 9 | 2016 | 34 | |
| 10 | 2020 | 32 | |
| 11 | 2019 | 30 | |
| 12 | 2021 | 29 | |
| 13 | 2017 | 14 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2019 | 0 |
About Theodore Kee
Theodore Kee is a scholar working on Biomedical Engineering, Molecular Biology, Computational Theory and Mathematics, Surgery and Hematology, having authored 20 papers that have together received 931 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Graphene and Nanomaterials Applications (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Nanoparticle-Based Drug Delivery (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Prostate Cancer Treatment and Research (2 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Health Informatics (112 citations), Transplantation (24 citations), Endocrine and Autonomic Systems (53 citations), Health Information Management (37 citations) and Computational Theory and Mathematics (135 citations). Theodore Kee has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Dean Ho, Agata Blasiak, Peter Wang, Jeffrey Khong, Chih‐Ming Ho, B. Glenn Stanley, Jonathan R. Charles, Aleidy Silva, Xianting Ding and Edward Kai‐Hua Chow. Their work appears in journals such as Advanced Therapeutics, Proceedings of the National Academy of Sciences, SLAS TECHNOLOGY, BMJ Open and Science Translational Medicine.
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.