Lynn Yi
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Regulation of Appetite and Obesity
Papers in
-
- Single-cell and spatial transcriptomics 2
- Angiogenesis and VEGF in Cancer 1
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
- Co-authors
- Lior Pachter (5 shared papers)Harold Pimentel (2 shared papers)Páll Melsted (1 shared paper)Vasilis Ntranos (1 shared paper)Nicolas Bray (1 shared paper)Noushin Koulena (1 shared paper)Yuki Oka (1 shared paper)Bosiljka Tasic (1 shared paper)
- Journals
- Andrologia (2 papers)PLoS ONE (1 paper)The Journal of Prevention of Alzheimer s Disease (1 paper)Protein Engineering Design and Selection (1 paper)Cell (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Lynn Yi
10 papers receiving 383 citations
Peers
Comparison fields: 5 of 75
- Endocrine and Autonomic Systems 50
- Reproductive Medicine 33
- Behavioral Neuroscience 13
- Molecular Biology 192
- Cellular and Molecular Neuroscience 49
Countries citing papers authored by Lynn Yi
This map shows the geographic impact of Lynn Yi'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 Lynn Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Yi more than expected).
Fields of papers citing papers by Lynn Yi
This network shows the impact of papers produced by Lynn Yi. 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 Lynn Yi. The network helps show where Lynn Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynn Yi, 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 | 179 | |
| 2 | 2019 | 83 | |
| 3 | 2018 | 80 | |
| 4 | 2005 | 18 | |
| 5 | 2013 | 12 | |
| 6 | 2017 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2001 | 2 | |
| 9 | 2009 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 |
About Lynn Yi
Lynn Yi is a scholar working on Molecular Biology, Nephrology, Genetics, Social Psychology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 385 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Hypothalamic control of reproductive hormones (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Circadian rhythm and melatonin (1 paper), Glycosylation and Glycoproteins Research (1 paper), Gene expression and cancer classification (1 paper), Animal Genetics and Reproduction (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (50 citations), Reproductive Medicine (33 citations), Behavioral Neuroscience (13 citations), Molecular Biology (192 citations) and Cellular and Molecular Neuroscience (49 citations). Lynn Yi has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Lior Pachter, Harold Pimentel, Páll Melsted, Vasilis Ntranos, Nicolas Bray, Noushin Koulena, Yuki Oka, Bosiljka Tasic, Tae Kyung Kim and Dong‐Wook Kim. Their work appears in journals such as Andrologia, PLoS ONE, The Journal of Prevention of Alzheimer s Disease, Protein Engineering Design and Selection and Cell.
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.