Lu Bai
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Genomics and Chromatin Dynamics 32
- RNA Research and Splicing 17
- RNA and protein synthesis mechanisms 12
- DNA and Nucleic Acid Chemistry 9
- CRISPR and Genetic Engineering 8
- Fungal and yeast genetics research 8
- DNA Repair Mechanisms 7
- Aging 1
- Co-authors
- Michelle D. WangAlexandre V. MorozovAlla ShundrovskyRobert M. FulbrightJie MaDaniel S. JohnsonJohn T. LisMichael Hall
- Journals
- Nature Communications (5 papers)Molecular Cell (5 papers)Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)eLife (3 papers)
- Partner nations
- United StatesChina
In The Last Decade
Lu Bai
58 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 106
- Aging 58
- Molecular Biology 2.1k
- Structural Biology 38
- Biophysics 81
- Genetics 366
Countries citing papers authored by Lu Bai
This map shows the geographic impact of Lu 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 Lu Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Bai more than expected).
Fields of papers citing papers by Lu Bai
This network shows the impact of papers produced by Lu 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 Lu Bai. The network helps show where Lu Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu 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 | 2024 | 6 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 30 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 66 | |
| 12 | 2018 | 10 | |
| 13 | 2016 | 14 | |
| 14 | 2014 | 7 | |
| 15 | 2014 | 63 | |
| 16 | 2011 | 28 | |
| 17 | 2010 | 79 | |
| 18 | 2010 | 103 | |
| 19 | 2005 | 48 | |
| 20 | 2005 | 79 |
About Lu Bai
Lu Bai is a scholar working on Molecular Biology, Aging, Genetics, Reproductive Medicine and Cancer Research, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (32 papers), RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (12 papers), DNA and Nucleic Acid Chemistry (9 papers), CRISPR and Genetic Engineering (8 papers), Fungal and yeast genetics research (8 papers), DNA Repair Mechanisms (7 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Aging (58 citations), Molecular Biology (2.1k citations), Structural Biology (38 citations), Biophysics (81 citations) and Genetics (366 citations). Lu Bai has collaborated with scholars based in United States and China. Frequent co-authors include Michelle D. Wang, Alexandre V. Morozov, Alla Shundrovsky, Robert M. Fulbright, Jie Ma, Daniel S. Johnson, John T. Lis, Michael Hall, Frederick R. Cross and Hengye Chen. Their work appears in journals such as Nature Communications, Molecular Cell, Nucleic Acids Research, Proceedings of the National Academy of Sciences and eLife.
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.