Kwang‐il Lim
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Virology top 5%
- HIV Research and Treatment
Papers in
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- David V. SchafferJames T. KoerberJohn YinRandolph S. AshtonAnthony ConwayPriya S. ShahMina J. BissellJamie Bergen
- Journals
- Biotechnology and Bioengineering (5 papers)Analytical Chemistry (3 papers)PLoS Computational Biology (3 papers)Molecules and Cells (2 papers)BMB Reports (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Kwang‐il Lim
44 papers receiving 985 citations
Peers
Comparison fields: 5 of 114
- Developmental Neuroscience 107
- Virology 103
- Biophysics 69
- Infectious Diseases 141
- Cellular and Molecular Neuroscience 119
Countries citing papers authored by Kwang‐il Lim
This map shows the geographic impact of Kwang‐il 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 Kwang‐il Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang‐il Lim more than expected).
Fields of papers citing papers by Kwang‐il Lim
This network shows the impact of papers produced by Kwang‐il 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 Kwang‐il Lim. The network helps show where Kwang‐il Lim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kwang‐il 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2020 | 6 | |
| 4 | 2019 | 24 | |
| 5 | 2019 | 15 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 4 | |
| 8 | 2017 | 16 | |
| 9 | 2012 | 41 | |
| 10 | 2012 | 1 | |
| 11 | 2012 | 173 | |
| 12 | 2010 | 91 | |
| 13 | 2010 | 1 | |
| 14 | 2008 | 101 | |
| 15 | 2008 | 9 | |
| 16 | 2006 | 31 | |
| 17 | 2005 | 17 | |
| 18 | 2005 | 6 | |
| 19 | 2004 | 12 | |
| 20 | 1997 | 29 |
About Kwang‐il Lim
Kwang‐il Lim is a scholar working on Structural Biology, Virology, Developmental Neuroscience, Genetics and Biomaterials, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (9 papers), CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (8 papers), Graphene research and applications (4 papers), 3D Printing in Biomedical Research (3 papers), HIV Research and Treatment (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Virology (103 citations), Biophysics (69 citations), Infectious Diseases (141 citations) and Cellular and Molecular Neuroscience (119 citations). Kwang‐il Lim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include David V. Schaffer, James T. Koerber, John Yin, Randolph S. Ashton, Anthony Conway, Priya S. Shah, Mina J. Bissell, Jamie Bergen, J.A. Lucey and S. Govindasamy-Lucey. Their work appears in journals such as Biotechnology and Bioengineering, Analytical Chemistry, PLoS Computational Biology, Molecules and Cells and BMB Reports.
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.