Hansaim Lim

494 total citations
15 papers, 239 citations indexed

About

Hansaim Lim is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Hansaim Lim has authored 15 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Hansaim Lim's work include Bioinformatics and Genomic Networks (10 papers), Computational Drug Discovery Methods (9 papers) and Gene expression and cancer classification (4 papers). Hansaim Lim is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Computational Drug Discovery Methods (9 papers) and Gene expression and cancer classification (4 papers). Hansaim Lim collaborates with scholars based in United States, Israel and China. Hansaim Lim's co-authors include Lei Xie, Aleksandar Poleksić, Yue Qiu, Paul A. Gray, Ruth Nussinov, Di He, Yuan Yao, Hanghang Tong, Xiaoru Sun and Shu‐Yuan Cheng and has published in prestigious journals such as Bioinformatics, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Hansaim Lim

14 papers receiving 236 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hansaim Lim United States	9	186	136	24	23	18	15	239
Bulat Zagidullin Finland	4	155 0.8×	161 1.2×	43 1.8×	22 1.0×	18 1.0×	7	235
Joseph Saad Finland	3	158 0.8×	109 0.8×	21 0.9×	15 0.7×	17 0.9×	8	213
Xianfang Tang China	9	183 1.0×	188 1.4×	20 0.8×	16 0.7×	13 0.7×	20	279
Zihao Shen China	8	92 0.5×	92 0.7×	37 1.5×	16 0.7×	12 0.7×	12	198
Rishi R. Gupta United States	8	140 0.8×	178 1.3×	49 2.0×	46 2.0×	13 0.7×	10	337
Aleksandar Poleksić United States	9	245 1.3×	120 0.9×	44 1.8×	24 1.0×	11 0.6×	25	325
Remzi Çelebi Netherlands	5	114 0.6×	117 0.9×	21 0.9×	15 0.7×	10 0.6×	15	192
Irina Persikova United States	3	160 0.9×	73 0.5×	44 1.8×	26 1.1×	31 1.7×	5	259
Valeria Scardino Argentina	3	121 0.7×	125 0.9×	41 1.7×	11 0.5×	15 0.8×	4	232
Balaguru Ravikumar Finland	7	185 1.0×	175 1.3×	37 1.5×	18 0.8×	33 1.8×	9	264

Countries citing papers authored by Hansaim Lim

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hansaim Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Hansaim Lim. A scholar is included among the top collaborators of Hansaim Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hansaim Lim. Hansaim Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Liu, Yang, Hansaim Lim, & Lei Xie. (2022). Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding. BMC Bioinformatics. 23(S3). 158–158. 9 indexed citations

Lim, Hansaim, et al.. (2022). Artificial intelligence approaches to human-microbiome protein–protein interactions. Current Opinion in Structural Biology. 73. 102328–102328. 18 indexed citations

Lim, Hansaim, Chung‐Jung Tsai, Özlem Keskin, Ruth Nussinov, & Attila Gürsoy. (2022). HMI-PRED 2.0: a biologist-oriented web application for prediction of host–microbe protein–protein interaction by interface mimicry. Bioinformatics. 38(21). 4962–4965. 4 indexed citations

Lim, Hansaim, et al.. (2021). MSA-Regularized Protein Sequence Transformer toward Predicting Genome-Wide Chemical-Protein Interactions: Application to GPCRome Deorphanization. Journal of Chemical Information and Modeling. 61(4). 1570–1582. 19 indexed citations

Qiu, Yue, et al.. (2020). A Bayesian approach to accurate and robust signature detection on LINCS L1000 data. Bioinformatics. 36(9). 2787–2795. 13 indexed citations

Lim, Hansaim. (2020). Machine Learning Applications for Drug Repurposing. CUNY Academic Works (City University of New York).

Lim, Hansaim & Lei Xie. (2020). A New Weighted Imputed Neighborhood-Regularized Tri-Factorization One-Class Collaborative Filtering Algorithm: Application to Target Gene Prediction of Transcription Factors. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 126–137. 3 indexed citations

Lim, Hansaim, et al.. (2019). Biological representation of chemicals using latent target interaction profile. BMC Bioinformatics. 20(S24). 674–674. 7 indexed citations

Lim, Hansaim & Lei Xie. (2019). Omics Data Integration and Analysis for Systems Pharmacology. Methods in molecular biology. 1939. 199–214. 9 indexed citations

10.

Lim, Hansaim, et al.. (2019). Rational discovery of dual-indication multi-target PDE/Kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology. PLoS Computational Biology. 15(6). e1006619–e1006619. 33 indexed citations

11.

Lim, Hansaim, Aleksandar Poleksić, & Lei Xie. (2018). Exploring Landscape of Drug-Target-Pathway-Side Effect Associations.. PubMed. 2017. 132–141. 6 indexed citations

12.

Lim, Hansaim & Lei Xie. (2018). Target Gene Prediction of Transcription Factor Using a New Neighborhood-regularized Tri-factorization One-class Collaborative Filtering Algorithm. PubMed. 2018. 1–10. 4 indexed citations

13.

Wang, Annie, Hansaim Lim, Shu‐Yuan Cheng, & Lei Xie. (2018). ANTENNA, a Multi-Rank, Multi-Layered Recommender System for Inferring Reliable Drug-Gene-Disease Associations: Repurposing Diazoxide as a Targeted Anti-Cancer Therapy. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 1960–1967. 23 indexed citations

14.

Lim, Hansaim, Aleksandar Poleksić, Yuan Yao, et al.. (2016). Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLoS Computational Biology. 12(10). e1005135–e1005135. 55 indexed citations

15.

Lim, Hansaim, Paul A. Gray, Lei Xie, & Aleksandar Poleksić. (2016). Improved genome-scale multi-target virtual screening via a novel collaborative filtering approach to cold-start problem. Scientific Reports. 6(1). 38860–38860. 36 indexed citations

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.

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