Oona Y.-C. Lee
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Leprosy Research and Treatment
- Archeology top 1%
- Forensic Anthropology and Bioarchaeology Studies
- Paleopathology and ancient diseases
Papers in
-
- Tuberculosis Research and Epidemiology 17
- Leprosy Research and Treatment 5
-
- Paleopathology and ancient diseases 7
- Forensic Anthropology and Bioarchaeology Studies 4
- Co-authors
- David E. MinnikinGurdyal S. BesraHelen D. DonoghueMark SpigelmanHoudini H.T. WuIsraël HershkovitzGila Kahila Bar‐GalEhud Galili
- Journals
- Tuberculosis (8 papers)PLoS ONE (7 papers)Journal of Archaeological Science (3 papers)Scientific Reports (1 paper)Microbiology (1 paper)
- Partner nations
- United KingdomIsraelHungary
In The Last Decade
Oona Y.-C. Lee
25 papers receiving 891 citations
Peers
Comparison fields: 5 of 111
- Infectious Diseases 567
- Archeology 202
- Epidemiology 423
- Genetics 210
- Surgery 260
Countries citing papers authored by Oona Y.-C. Lee
This map shows the geographic impact of Oona Y.-C. 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 Oona Y.-C. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oona Y.-C. Lee more than expected).
Fields of papers citing papers by Oona Y.-C. Lee
This network shows the impact of papers produced by Oona Y.-C. 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 Oona Y.-C. Lee. The network helps show where Oona Y.-C. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Oona Y.-C. 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 | 2023 | 2 | |
| 2 | 2020 | 8 | |
| 3 | 2020 | 3 | |
| 4 | 2017 | 58 | |
| 5 | 2016 | 25 | |
| 6 | 2015 | 3 | |
| 7 | 2015 | 21 | |
| 8 | 2015 | 28 | |
| 9 | 2015 | 9 | |
| 10 | 2015 | 24 | |
| 11 | 2015 | 88 | |
| 12 | 2015 | 35 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 26 | |
| 15 | 2013 | 35 | |
| 16 | 2013 | 48 | |
| 17 | Integrated Strategies for the use of Lipid Biomarkers in the Diagnosis of Ancient Mycobacterial Disease | 2012 | 9 |
| 18 | 2012 | 23 | |
| 19 | 2012 | 51 | |
| 20 | 2008 | 283 |
About Oona Y.-C. Lee
Oona Y.-C. Lee is a scholar working on Infectious Diseases, Archeology, Epidemiology, Conservation and Genetics, having authored 26 papers that have together received 939 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (17 papers), Tuberculosis Research and Epidemiology (17 papers), Infectious Diseases and Tuberculosis (7 papers), Paleopathology and ancient diseases (7 papers), Leprosy Research and Treatment (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers) and Hypertrophic osteoarthropathy and related conditions (2 papers). The work is most often cited by research in Infectious Diseases (567 citations), Archeology (202 citations), Epidemiology (423 citations), Genetics (210 citations) and Surgery (260 citations). Oona Y.-C. Lee has collaborated with scholars based in United Kingdom, Israel and Hungary. Frequent co-authors include David E. Minnikin, Gurdyal S. Besra, Helen D. Donoghue, Mark Spigelman, Houdini H.T. Wu, Israël Hershkovitz, Gila Kahila Bar‐Gal, Ehud Galili, Charles L. Greenblatt and Eshetu Lemma. Their work appears in journals such as Tuberculosis, PLoS ONE, Journal of Archaeological Science, Scientific Reports and 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.