Xiaolin Bi
Impact in
- Aging top 5%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- RNA Research and Splicing
Papers in
-
- DNA Repair Mechanisms 7
- RNA Research and Splicing 6
- CRISPR and Genetic Engineering 4
- Cell Biology 10
- Microtubule and mitosis dynamics 5
- Co-authors
- Yikang S. Rong (4 shared papers)Fengping Zhou (5 shared papers)Shuiyu Sun (4 shared papers)Wuming Xie (5 shared papers)Deepa Srikanta (3 shared papers)Xueyun Gao (1 shared paper)Lingzhao Kong (1 shared paper)Zijun Huang (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cancer Letters (2 papers)Genetics (2 papers)Journal of Analytical and Applied Pyrolysis (2 papers)Journal of Cleaner Production (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaolin Bi
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 138
- Aging 75
- Molecular Biology 857
- Cell Biology 198
- Cancer Research 182
- Water Science and Technology 133
Countries citing papers authored by Xiaolin Bi
This map shows the geographic impact of Xiaolin Bi'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 Xiaolin Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Bi more than expected).
Fields of papers citing papers by Xiaolin Bi
This network shows the impact of papers produced by Xiaolin Bi. 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 Xiaolin Bi. The network helps show where Xiaolin Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Bi, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 162 | |
| 2 | 2016 | 125 | |
| 3 | 2018 | 99 | |
| 4 | 2004 | 92 | |
| 5 | 2015 | 86 | |
| 6 | 2005 | 75 | |
| 7 | 2011 | 67 | |
| 8 | 2019 | 65 | |
| 9 | 2019 | 63 | |
| 10 | 2021 | 55 | |
| 11 | 2014 | 50 | |
| 12 | 2019 | 49 | |
| 13 | 2014 | 46 | |
| 14 | 2014 | 45 | |
| 15 | 2014 | 44 | |
| 16 | 2019 | 38 | |
| 17 | 2014 | 33 | |
| 18 | 2001 | 33 | |
| 19 | 2016 | 32 | |
| 20 | 2009 | 32 |
About Xiaolin Bi
Xiaolin Bi is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Cancer Research, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), RNA Research and Splicing (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Microtubule and mitosis dynamics (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer-related molecular mechanisms research (5 papers), CRISPR and Genetic Engineering (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (75 citations), Molecular Biology (857 citations), Cell Biology (198 citations), Cancer Research (182 citations) and Water Science and Technology (133 citations). Xiaolin Bi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yikang S. Rong, Fengping Zhou, Shuiyu Sun, Wuming Xie, Deepa Srikanta, Xueyun Gao, Lingzhao Kong, Zijun Huang, Qin Wang and Quanyi Guo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Letters, Genetics, Journal of Analytical and Applied Pyrolysis and Journal of Cleaner Production.
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.