Yunhong Bai
- Parasitology top 2%
- Vector-borne infectious diseases 9
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- Hereditary Neurological Disorders 19
- Genetic Neurodegenerative Diseases 8
- Nerve injury and regeneration 4
- Neurology top 5%
- Peripheral Neuropathies and Disorders 5
- Botulinum Toxin and Related Neurological Disorders 4
- Neurology top 5%
- Peripheral Neuropathies and Disorders 5
- Botulinum Toxin and Related Neurological Disorders 4
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease 6
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- Viral Infections and Vectors 8
- Co-authors
- Michael E. ShyDiego CadavidXingyao WuAndrew R. PachnerKathryn M. BrennanEmir HodzicKavitha NarayanIstván Katona
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Yunhong Bai
34 papers receiving 941 citations
Peers
Comparison fields: 5 of 89
- Parasitology 203
- Cellular and Molecular Neuroscience 544
- Neurology 150
- Neurology 263
- Cell Biology 173
Countries citing papers authored by Yunhong Bai
This map shows the geographic impact of Yunhong Bai'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 Yunhong Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunhong Bai more than expected).
Fields of papers citing papers by Yunhong Bai
This network shows the impact of papers produced by Yunhong Bai. 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 Yunhong Bai. The network helps show where Yunhong Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunhong Bai, 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 | 2022 | 23 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 18 | |
| 4 | 2015 | 40 | |
| 5 | 2015 | 22 | |
| 6 | 2013 | 12 | |
| 7 | 2013 | 1 | |
| 8 | 2012 | 88 | |
| 9 | 2012 | 54 | |
| 10 | 2011 | 3 | |
| 11 | 2011 | 38 | |
| 12 | 2010 | 51 | |
| 13 | 2007 | 20 | |
| 14 | 2007 | 19 | |
| 15 | 2006 | 34 | |
| 16 | 2006 | 38 | |
| 17 | 2005 | 92 | |
| 18 | 2004 | 38 | |
| 19 | 2004 | 32 | |
| 20 | 2004 | 59 |
About Yunhong Bai
Yunhong Bai is a scholar working on Parasitology, Cellular and Molecular Neuroscience and Cell Biology, having authored 34 papers that have together received 962 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (19 papers), Vector-borne infectious diseases (9 papers), Genetic Neurodegenerative Diseases (8 papers), Viral Infections and Vectors (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Peripheral Neuropathies and Disorders (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Parasitology (203 citations), Cellular and Molecular Neuroscience (544 citations) and Neurology (150 citations). Yunhong Bai has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Michael E. Shy, Diego Cadavid, Xingyao Wu, Andrew R. Pachner, Kathryn M. Brennan, Emir Hodzic, Kavitha Narayan, István Katona, Mario Saporta and William J. Kupsky. Their work appears in journals such as Neurology, Brain, Infection and Immunity, Laboratory Investigation and Annals of Clinical and Translational Neurology.
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.