Lan Bai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Epidemiology 21
- Liver Disease Diagnosis and Treatment 9
- Autophagy in Disease and Therapy 4
- Hepatitis B Virus Studies 4
- Immunology 13
- Co-authors
- Jianyou Shi (16 shared papers)Hongliang Li (8 shared papers)Rongsheng Tong (10 shared papers)Fang Xie (9 shared papers)Zhongliang Jiang (5 shared papers)Xingmei Duan (4 shared papers)Lei Zhong (4 shared papers)Yanping Zhou (2 shared papers)
- Journals
- European Journal of Medicinal Chemistry (5 papers)Frontiers in Pharmacology (4 papers)Hepatology (3 papers)International Journal of Biological Macromolecules (2 papers)ACS Nano (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Bai
97 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 211
- Biological Psychiatry 32
- Hepatology 91
- Immunology 239
- Epidemiology 362
Countries citing papers authored by Lan Bai
This map shows the geographic impact of Lan 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 Lan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Bai more than expected).
Fields of papers citing papers by Lan Bai
This network shows the impact of papers produced by Lan 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 Lan Bai. The network helps show where Lan Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2019 | 108 | |
| 3 | 2018 | 100 | |
| 4 | 2017 | 75 | |
| 5 | 2020 | 74 | |
| 6 | 2014 | 72 | |
| 7 | 2019 | 71 | |
| 8 | 2020 | 70 | |
| 9 | 2021 | 54 | |
| 10 | 2013 | 47 | |
| 11 | 2021 | 46 | |
| 12 | 2010 | 44 | |
| 13 | 2018 | 42 | |
| 14 | 2019 | 41 | |
| 15 | 2019 | 41 | |
| 16 | 2019 | 39 | |
| 17 | 2016 | 39 | |
| 18 | 2023 | 36 | |
| 19 | 2019 | 36 | |
| 20 | 2017 | 35 |
About Lan Bai
Lan Bai is a scholar working on Epidemiology, Immunology, Molecular Biology, Hepatology and Oncology, having authored 98 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Epigenetics and DNA Methylation (5 papers), Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Hepatitis B Virus Studies (4 papers), Inflammatory Bowel Disease (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cancer Research (211 citations), Biological Psychiatry (32 citations), Hepatology (91 citations), Immunology (239 citations) and Epidemiology (362 citations). Lan Bai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianyou Shi, Hongliang Li, Rongsheng Tong, Fang Xie, Zhongliang Jiang, Xingmei Duan, Lei Zhong, Yanping Zhou, Shuying He and Ting Wang. Their work appears in journals such as European Journal of Medicinal Chemistry, Frontiers in Pharmacology, Hepatology, International Journal of Biological Macromolecules and ACS Nano.
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.