Bitna Yi
Impact in
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- Effects and risks of endocrine disrupting chemicals
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Effects and risks of endocrine disrupting chemicals 3
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- Alzheimer's disease research and treatments 3
- Smoking Behavior and Cessation 1
- Co-authors
- Mihi Yang (6 shared papers)Mehrdad Shamloo (5 shared papers)Pooneh Memar Ardestani (4 shared papers)Andrew K. Evans (4 shared papers)Laurence D. Coutellier (1 shared paper)Dennis B. McKay (5 shared papers)Chenglong Li (5 shared papers)Ho‐Sun Lee (3 shared papers)
- Journals
- Journal of Environmental Science and Health Part C (2 papers)ACS Chemical Neuroscience (1 paper)Neuropharmacology (1 paper)ACS Medicinal Chemistry Letters (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Bitna Yi
16 papers receiving 568 citations
Peers
Comparison fields: 5 of 72
- Health, Toxicology and Mutagenesis 114
- Neurology 50
- Physiology 128
- Aging 5
- Biological Psychiatry 4
Countries citing papers authored by Bitna Yi
This map shows the geographic impact of Bitna 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 Bitna Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bitna Yi more than expected).
Fields of papers citing papers by Bitna Yi
This network shows the impact of papers produced by Bitna 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 Bitna Yi. The network helps show where Bitna Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bitna 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 | 2016 | 104 | |
| 2 | 2017 | 77 | |
| 3 | 2010 | 74 | |
| 4 | 2020 | 64 | |
| 5 | 2011 | 48 | |
| 6 | 2013 | 45 | |
| 7 | 2017 | 44 | |
| 8 | 2017 | 27 | |
| 9 | 2011 | 26 | |
| 10 | 2013 | 21 | |
| 11 | 2007 | 17 | |
| 12 | 2011 | 10 | |
| 13 | 2012 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2013 | 8 | |
| 16 | Application of Physiologically Based Pharmacokinetic Modeling with Biological Monitoring Data for Risk Assessment | 1986 | 1 |
About Bitna Yi
Bitna Yi is a scholar working on Health, Toxicology and Mutagenesis, Physiology, Neurology, Pharmacology and Molecular Biology, having authored 16 papers that have together received 584 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (4 papers), Alzheimer's disease research and treatments (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Alkaloids: synthesis and pharmacology (1 paper), Piperaceae Chemical and Biological Studies (1 paper), Smoking Behavior and Cessation (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (114 citations), Neurology (50 citations), Physiology (128 citations), Aging (5 citations) and Biological Psychiatry (4 citations). Bitna Yi has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Mihi Yang, Mehrdad Shamloo, Pooneh Memar Ardestani, Andrew K. Evans, Laurence D. Coutellier, Dennis B. McKay, Chenglong Li, Ho‐Sun Lee, Ryan E. Pavlovicz and Sangeetha V. Iyer. Their work appears in journals such as Journal of Environmental Science and Health Part C, ACS Chemical Neuroscience, Neuropharmacology, ACS Medicinal Chemistry Letters and Journal of Neurochemistry.
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.