Ci Ji Lim
Impact in
- Aging top 5%
- Structural Biology top 10%
Papers in
-
- DNA Repair Mechanisms 5
- DNA and Nucleic Acid Chemistry 5
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 3
- RNA Interference and Gene Delivery 3
- Ecology 9
- Bacteriophages and microbial interactions 7
- Co-authors
- Thomas R. Cech (5 shared papers)Jie Yan (9 shared papers)Linda J. Kenney (3 shared papers)Arthur J. Zaug (3 shared papers)Anli Geng (2 shared papers)Artem K. Efremov (2 shared papers)Hee Jin Kim (1 shared paper)Karen J. Goodrich (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Scientific Reports (2 papers)Science (2 papers)Nature Communications (2 papers)Nature Reviews Molecular Cell Biology (2 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Ci Ji Lim
21 papers receiving 846 citations
Ci Ji Lim's Hit Papers
Peers
Comparison fields: 5 of 80
- Aging 41
- Structural Biology 22
- Physiology 242
- Endocrinology 47
- Molecular Biology 617
Countries citing papers authored by Ci Ji Lim
This map shows the geographic impact of Ci Ji Lim'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 Ci Ji Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ci Ji Lim more than expected).
Fields of papers citing papers by Ci Ji Lim
This network shows the impact of papers produced by Ci Ji Lim. 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 Ci Ji Lim. The network helps show where Ci Ji Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ci Ji Lim, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Shaping human telomeres: from shelterin and CST complexes to telomeric chromatin organization Hit paper breakdown → | 2021 | 172 |
| 2 | 2012 | 79 | |
| 3 | 2014 | 77 | |
| 4 | 2020 | 68 | |
| 5 | 2011 | 61 | |
| 6 | 2005 | 59 | |
| 7 | 2017 | 57 | |
| 8 | 2022 | 47 | |
| 9 | 2015 | 44 | |
| 10 | 2013 | 36 | |
| 11 | 2014 | 30 | |
| 12 | 2012 | 24 | |
| 13 | 2015 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2007 | 16 | |
| 16 | 2023 | 12 | |
| 17 | 2024 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 5 |
About Ci Ji Lim
Ci Ji Lim is a scholar working on Molecular Biology, Ecology, Physiology, Genetics and Pollution, having authored 22 papers that have together received 853 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), Bacteriophages and microbial interactions (7 papers), Bacterial Genetics and Biotechnology (6 papers), DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (5 papers), CRISPR and Genetic Engineering (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Aging (41 citations), Structural Biology (22 citations), Physiology (242 citations), Endocrinology (47 citations) and Molecular Biology (617 citations). Ci Ji Lim has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Thomas R. Cech, Jie Yan, Linda J. Kenney, Arthur J. Zaug, Anli Geng, Artem K. Efremov, Hee Jin Kim, Karen J. Goodrich, Deborah S. Wuttke and Yue Xu. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Science, Nature Communications and Nature Reviews Molecular Cell Biology.
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.