Olivia Yang
Impact in
- Aging top 10%
Papers in
-
- DNA Repair Mechanisms 7
- DNA and Nucleic Acid Chemistry 4
- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Taekjip Ha (10 shared papers)Anustup Poddar (2 shared papers)Scott Bailey (2 shared papers)Digvijay Singh (2 shared papers)John Mallon (2 shared papers)Ramreddy Tippana (1 shared paper)Jingyi Fei (1 shared paper)Yanbo Wang (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of Molecular Biology (2 papers)Nature Communications (1 paper)Physical review. E (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Olivia Yang
13 papers receiving 472 citations
Peers
Comparison fields: 5 of 79
- Aging 24
- Business and International Management 19
- Molecular Biology 397
- Structural Biology 8
- Biophysics 20
Countries citing papers authored by Olivia Yang
This map shows the geographic impact of Olivia Yang'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 Olivia Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Yang more than expected).
Fields of papers citing papers by Olivia Yang
This network shows the impact of papers produced by Olivia Yang. 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 Olivia Yang. The network helps show where Olivia Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Olivia Yang, 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 | 2018 | 161 | |
| 2 | 2018 | 102 | |
| 3 | 2024 | 44 | |
| 4 | 2022 | 41 | |
| 5 | 1996 | 31 | |
| 6 | 2018 | 29 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 22 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2024 | 6 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 |
About Olivia Yang
Olivia Yang is a scholar working on Molecular Biology, Genetics, Endocrine and Autonomic Systems, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 480 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), DNA and Nucleic Acid Chemistry (4 papers), Bacterial Genetics and Biotechnology (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), PARP inhibition in cancer therapy (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Aging (24 citations), Business and International Management (19 citations), Molecular Biology (397 citations), Structural Biology (8 citations) and Biophysics (20 citations). Olivia Yang has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Taekjip Ha, Anustup Poddar, Scott Bailey, Digvijay Singh, John Mallon, Ramreddy Tippana, Jingyi Fei, Yanbo Wang, Myung Hyun Jo and Alexander G. Kozlov. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology, Nature Communications, Physical review. E and Nature Structural & Molecular Biology.
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.