Bailing Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Endocrine and Autonomic Systems top 10%
Papers in
-
- RNA modifications and cancer 3
- Advanced biosensing and bioanalysis techniques 1
-
- MicroRNA in disease regulation 3
- Co-authors
- Stephen C. Woods (1 shared paper)Karen K. Ryan (1 shared paper)Emily K. Matter (1 shared paper)Randy J. Seeley (1 shared paper)Bernadette E. Grayson (1 shared paper)Lin Han (1 shared paper)Kun Chen (1 shared paper)Eiji Takeda (1 shared paper)
- Journals
- Molecular Endocrinology (2 papers)Nature Medicine (1 paper)Journal of Bone and Mineral Research (1 paper)NMR in Biomedicine (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bailing Li
14 papers receiving 745 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 190
- Endocrine and Autonomic Systems 56
- Pathology and Forensic Medicine 116
- Molecular Biology 413
- Endocrinology, Diabetes and Metabolism 86
Countries citing papers authored by Bailing Li
This map shows the geographic impact of Bailing 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 Bailing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailing Li more than expected).
Fields of papers citing papers by Bailing Li
This network shows the impact of papers produced by Bailing 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 Bailing Li. The network helps show where Bailing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bailing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 172 | |
| 2 | 1999 | 137 | |
| 3 | 2012 | 96 | |
| 4 | 2014 | 95 | |
| 5 | 2000 | 56 | |
| 6 | 2016 | 49 | |
| 7 | 1988 | 44 | |
| 8 | 2007 | 38 | |
| 9 | 2018 | 21 | |
| 10 | 2003 | 19 | |
| 11 | 2020 | 10 | |
| 12 | Structure and Development of Stigmatic Branches and Style and Their Relation to Pollen Tube Growth in Wheat | 1991 | 8 |
| 13 | 2013 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 |
About Bailing Li
Bailing Li is a scholar working on Molecular Biology, Cancer Research, Physiology, Surgery and Oncology, having authored 16 papers that have together received 757 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Thyroid Disorders and Treatments (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Molecular Sensors and Ion Detection (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Cancer Research (190 citations), Endocrine and Autonomic Systems (56 citations), Pathology and Forensic Medicine (116 citations), Molecular Biology (413 citations) and Endocrinology, Diabetes and Metabolism (86 citations). Bailing Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Stephen C. Woods, Karen K. Ryan, Emily K. Matter, Randy J. Seeley, Bernadette E. Grayson, Lin Han, Kun Chen, Eiji Takeda, Ken‐ichi Miyamoto and Yutaka Taketani. Their work appears in journals such as Molecular Endocrinology, Nature Medicine, Journal of Bone and Mineral Research, NMR in Biomedicine and BMC Cancer.
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.