Ivan T. Lee
Impact in
-
- Circadian rhythm and melatonin
- Otorhinolaryngology top 5%
- Sinusitis and nasal conditions
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
-
- Influenza Virus Research Studies 3
- Respiratory viral infections research 2
- Co-authors
- John A. Schetz (2 shared papers)Yongli Shan (1 shared paper)Joseph S. Takahashi (1 shared paper)Jeffrey Seinfeld (1 shared paper)Junmei Fan (1 shared paper)Mariko Izumo (1 shared paper)Toshiyuki Motoike (1 shared paper)Masashi Yanagisawa (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature Methods (1 paper)Expert Review of Vaccines (1 paper)Pediatric Allergy and Immunology (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Ivan T. Lee
19 papers receiving 535 citations
Peers
Comparison fields: 5 of 77
- Endocrine and Autonomic Systems 135
- Otorhinolaryngology 66
- Aging 14
- Immunology and Allergy 42
- Cellular and Molecular Neuroscience 115
Countries citing papers authored by Ivan T. Lee
This map shows the geographic impact of Ivan T. 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 Ivan T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan T. Lee more than expected).
Fields of papers citing papers by Ivan T. Lee
This network shows the impact of papers produced by Ivan T. 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 Ivan T. Lee. The network helps show where Ivan T. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan T. 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 | 2015 | 145 | |
| 2 | 2023 | 72 | |
| 3 | 2021 | 59 | |
| 4 | 2007 | 45 | |
| 5 | 2017 | 36 | |
| 6 | 2024 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2007 | 25 | |
| 9 | 2020 | 20 | |
| 10 | 2007 | 19 | |
| 11 | 2023 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 1979 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 1 |
About Ivan T. Lee
Ivan T. Lee is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Otorhinolaryngology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 541 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Sinusitis and nasal conditions (3 papers), Influenza Virus Research Studies (3 papers), Allergic Rhinitis and Sensitization (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurobiology and Insect Physiology Research (2 papers), Respiratory viral infections research (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (135 citations), Otorhinolaryngology (66 citations), Aging (14 citations), Immunology and Allergy (42 citations) and Cellular and Molecular Neuroscience (115 citations). Ivan T. Lee has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include John A. Schetz, Yongli Shan, Joseph S. Takahashi, Jeffrey Seinfeld, Junmei Fan, Mariko Izumo, Toshiyuki Motoike, Masashi Yanagisawa, Shelley A.H. Dixon and Yuichi Ikeda. Their work appears in journals such as Nature Communications, Nature Methods, Expert Review of Vaccines, Pediatric Allergy and Immunology and Nature Microbiology.
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.