Sangsoo Lim
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 9
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Gene Regulatory Network Analysis 3
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- Computational Drug Discovery Methods 8
- Co-authors
- Sun Kim (18 shared papers)Sangseon Lee (11 shared papers)Youngjun Park (2 shared papers)Jung-Woo Kim (1 shared paper)Youngkuk Kim (2 shared papers)Jin‐Wu Nam (1 shared paper)Hahn Nahmgoong (3 shared papers)Jae Bum Kim (3 shared papers)
- Journals
- Computational and Structural Biotechnology Journal (3 papers)Frontiers in Genetics (3 papers)Scientific Reports (2 papers)Bioinformatics (2 papers)Methods (2 papers)
- Partner nations
- South KoreaUnited StatesSaudi Arabia
In The Last Decade
Sangsoo Lim
24 papers receiving 474 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 151
- Computational Mathematics 5
- Molecular Biology 334
- Cancer Research 69
- Aging 8
Countries citing papers authored by Sangsoo Lim
This map shows the geographic impact of Sangsoo 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 Sangsoo Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangsoo Lim more than expected).
Fields of papers citing papers by Sangsoo Lim
This network shows the impact of papers produced by Sangsoo 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 Sangsoo Lim. The network helps show where Sangsoo Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sangsoo 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 80 | |
| 2 | 2022 | 64 | |
| 3 | 2023 | 59 | |
| 4 | 2016 | 39 | |
| 5 | 2020 | 33 | |
| 6 | 2021 | 32 | |
| 7 | 2018 | 22 | |
| 8 | 2002 | 21 | |
| 9 | 2016 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2019 | 7 | |
| 18 | 2011 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 2 |
About Sangsoo Lim
Sangsoo Lim is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Physiology and Otorhinolaryngology, having authored 26 papers that have together received 481 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (9 papers), Computational Drug Discovery Methods (8 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (151 citations), Computational Mathematics (5 citations), Molecular Biology (334 citations), Cancer Research (69 citations) and Aging (8 citations). Sangsoo Lim has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Sun Kim, Sangseon Lee, Youngjun Park, Jung-Woo Kim, Youngkuk Kim, Jin‐Wu Nam, Hahn Nahmgoong, Jae Bum Kim, Inuk Jung and Taeheon Lee. Their work appears in journals such as Computational and Structural Biotechnology Journal, Frontiers in Genetics, Scientific Reports, Bioinformatics and Methods.
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.