Bai‐Yan Li
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
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- Neuroscience of respiration and sleep
Papers in
-
- Ion channel regulation and function 13
- Wnt/β-catenin signaling in development and cancer 9
- Ubiquitin and proteasome pathways 6
- Bone Metabolism and Diseases 6
- Oncology 29
- Bone health and treatments 13
- Cancer Cells and Metastasis 8
- Co-authors
- Hiroki Yokota (46 shared papers)John H. Schild (10 shared papers)Shengzhi Liu (25 shared papers)Guo‐Fen Qiao (21 shared papers)Andy Chen (15 shared papers)Yao Fan (12 shared papers)Sungsoo Na (12 shared papers)Xun Sun (12 shared papers)
- Journals
- Cancers (7 papers)The FASEB Journal (6 papers)Theranostics (5 papers)Acta Pharmacologica Sinica (5 papers)CNS Neuroscience & Therapeutics (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bai‐Yan Li
102 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Sensory Systems 105
- Endocrine and Autonomic Systems 124
- Oncology 300
- Molecular Biology 707
- Cancer Research 141
Countries citing papers authored by Bai‐Yan Li
This map shows the geographic impact of Bai‐Yan Li'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 Bai‐Yan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai‐Yan Li more than expected).
Fields of papers citing papers by Bai‐Yan Li
This network shows the impact of papers produced by Bai‐Yan Li. 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 Bai‐Yan Li. The network helps show where Bai‐Yan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai‐Yan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 65 | |
| 2 | 2016 | 61 | |
| 3 | 2017 | 52 | |
| 4 | 2020 | 51 | |
| 5 | 2021 | 51 | |
| 6 | 2009 | 50 | |
| 7 | 2018 | 47 | |
| 8 | 2017 | 42 | |
| 9 | 2021 | 35 | |
| 10 | 2021 | 33 | |
| 11 | 2020 | 33 | |
| 12 | 2015 | 30 | |
| 13 | 2018 | 29 | |
| 14 | 2013 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2007 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2021 | 24 | |
| 19 | 2021 | 23 | |
| 20 | 2018 | 22 |
About Bai‐Yan Li
Bai‐Yan Li is a scholar working on Molecular Biology, Oncology, Physiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Bone health and treatments (13 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Cancer Cells and Metastasis (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Heart Rate Variability and Autonomic Control (7 papers), Ubiquitin and proteasome pathways (6 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Sensory Systems (105 citations), Endocrine and Autonomic Systems (124 citations), Oncology (300 citations), Molecular Biology (707 citations) and Cancer Research (141 citations). Bai‐Yan Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hiroki Yokota, John H. Schild, Shengzhi Liu, Guo‐Fen Qiao, Andy Chen, Yao Fan, Sungsoo Na, Xun Sun, Harikrishna Nakshatri and Feng Yan. Their work appears in journals such as Cancers, The FASEB Journal, Theranostics, Acta Pharmacologica Sinica and CNS Neuroscience & Therapeutics.
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.