Hansaim Lim
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Metabolomics and Mass Spectrometry Studies
Papers in
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- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 4
- Machine Learning in Bioinformatics 3
- Protein Structure and Dynamics 3
- Genomics and Chromatin Dynamics 2
- Metabolomics and Mass Spectrometry Studies 2
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- Computational Drug Discovery Methods 9
- Co-authors
- Lei Xie (12 shared papers)Aleksandar Poleksić (3 shared papers)Yue Qiu (3 shared papers)Paul A. Gray (1 shared paper)Yuan Yao (1 shared paper)Di He (1 shared paper)Ruth Nussinov (3 shared papers)Hanghang Tong (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Bioinformatics (2 papers)BMC Bioinformatics (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Hansaim Lim
14 papers receiving 236 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 136
- Molecular Biology 186
- Pharmacology 23
- Computational Mathematics 1
- Pharmacology 18
Countries citing papers authored by Hansaim Lim
This map shows the geographic impact of Hansaim 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 Hansaim Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hansaim Lim more than expected).
Fields of papers citing papers by Hansaim Lim
This network shows the impact of papers produced by Hansaim 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 Hansaim Lim. The network helps show where Hansaim Lim may publish in the future.
Co-authors
The 16 scholars most cited alongside Hansaim 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 | 2016 | 55 | |
| 2 | 2016 | 36 | |
| 3 | 2019 | 33 | |
| 4 | 2018 | 23 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 7 | |
| 11 | Exploring Landscape of Drug-Target-Pathway-Side Effect Associations. | 2018 | 6 |
| 12 | 2018 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 3 | |
| 15 | Machine Learning Applications for Drug Repurposing | 2020 | 0 |
About Hansaim Lim
Hansaim Lim is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Organic Chemistry and Pharmacology, having authored 15 papers that have together received 239 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Computational Drug Discovery Methods (9 papers), Gene expression and cancer classification (4 papers), Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Genomics and Chromatin Dynamics (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Molecular Biology (186 citations), Pharmacology (23 citations), Computational Mathematics (1 citation) and Pharmacology (18 citations). Hansaim Lim has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Lei Xie, Aleksandar Poleksić, Yue Qiu, Paul A. Gray, Yuan Yao, Di He, Ruth Nussinov, Hanghang Tong, Di He and Annie Wang. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Scientific 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.