Lee Dobbyn
Impact in
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- Genetic Associations and Epidemiology
- Connective tissue disorders research
- BRCA gene mutations in cancer
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 5
- Connective tissue disorders research 1
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- Tryptophan and brain disorders 1
- Co-authors
- Alan R. Shuldiner (1 shared paper)Arden Moscati (1 shared paper)Ayşegül Güvenek (1 shared paper)Giovanni Coppola (1 shared paper)Sahar Gelfman (1 shared paper)Neelroop Parikshak (1 shared paper)Eli Ayumi Stahl (1 shared paper)Daria Zamolodchikov (1 shared paper)
- Journals
- Nature Genetics (3 papers)Communications Biology (3 papers)JCO Precision Oncology (1 paper)Journal of the American Heart Association (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesEstonia
In The Last Decade
Lee Dobbyn
10 papers receiving 273 citations
Lee Dobbyn's Hit Papers
Peers
Comparison fields: 5 of 45
- Genetics 145
- Infectious Diseases 87
- Sensory Systems 16
- Biological Psychiatry 2
- Neurology 8
Countries citing papers authored by Lee Dobbyn
This map shows the geographic impact of Lee Dobbyn'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 Lee Dobbyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Dobbyn more than expected).
Fields of papers citing papers by Lee Dobbyn
This network shows the impact of papers produced by Lee Dobbyn. 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 Lee Dobbyn. The network helps show where Lee Dobbyn may publish in the future.
Co-authors
The 14 scholars most cited alongside Lee Dobbyn, 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 | Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease Hit paper breakdown → | 2022 | 139 |
| 2 | 2022 | 43 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2026 | 3 |
About Lee Dobbyn
Lee Dobbyn is a scholar working on Genetics, Biological Psychiatry, Sensory Systems, Neurology and Ophthalmology, having authored 10 papers that have together received 276 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Smoking Behavior and Cessation (1 paper), Tryptophan and brain disorders (1 paper), Glaucoma and retinal disorders (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Connective tissue disorders research (1 paper), Multiple and Secondary Primary Cancers (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Genetics (145 citations), Infectious Diseases (87 citations), Sensory Systems (16 citations), Biological Psychiatry (2 citations) and Neurology (8 citations). Lee Dobbyn has collaborated with scholars based in United States and Estonia. Frequent co-authors include Alan R. Shuldiner, Arden Moscati, Ayşegül Güvenek, Giovanni Coppola, Sahar Gelfman, Neelroop Parikshak, Eli Ayumi Stahl, Daria Zamolodchikov, Sarah Williams and Laura M. Huckins. Their work appears in journals such as Nature Genetics, Communications Biology, JCO Precision Oncology, Journal of the American Heart Association and Nature Communications.
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.