Sun Kim

3.4k total citations
123 papers, 2.0k citations indexed

About

Sun Kim is a scholar working on Molecular Biology, Artificial Intelligence and Algebra and Number Theory. According to data from OpenAlex, Sun Kim has authored 123 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 36 papers in Artificial Intelligence and 28 papers in Algebra and Number Theory. Recurrent topics in Sun Kim's work include Biomedical Text Mining and Ontologies (29 papers), Analytic Number Theory Research (26 papers) and Advanced Mathematical Identities (25 papers). Sun Kim is often cited by papers focused on Biomedical Text Mining and Ontologies (29 papers), Analytic Number Theory Research (26 papers) and Advanced Mathematical Identities (25 papers). Sun Kim collaborates with scholars based in United States, South Korea and Romania. Sun Kim's co-authors include W. John Wilbur, Lana Yeganova, Zhiyong Lu, Haibin Liu, Kenneth P. Nephew, Emma L. DeWalt-Kerian, Md. Shafiul Azam, Julianne M. Gibbs, Rezarta Islamaj and Bruce C. Berndt and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Plant Cell.

In The Last Decade

Sun Kim

119 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sun Kim United States	24	1.2k	481	170	166	146	123	2.0k
Jeremy Gunawardena United States	32	2.4k 1.9×	58 0.1×	27 0.2×	171 1.0×	76 0.5×	82	3.3k
Gunter M. Schütz Germany	40	1.4k 1.1×	194 0.4×	1.1k 6.3×	41 0.2×	79 0.5×	176	5.4k
Michel Weber France	25	2.1k 1.7×	22 0.0×	49 0.3×	283 1.7×	363 2.5×	176	3.4k
Simone Severini United Kingdom	32	525 0.4×	1.4k 2.9×	969 5.7×	11 0.1×	98 0.7×	103	2.7k
Akihiko Konagaya Japan	25	1.6k 1.3×	296 0.6×	37 0.2×	197 1.2×	72 0.5×	136	2.4k
Thomas K. Harris United States	27	1.2k 0.9×	181 0.4×	83 0.5×	63 0.4×	40 0.3×	61	2.2k
Guang Hu China	34	1.4k 1.1×	130 0.3×	270 1.6×	51 0.3×	89 0.6×	268	4.4k
Eivind Almaas Norway	24	1.5k 1.2×	113 0.2×	218 1.3×	83 0.5×	60 0.4×	73	2.6k
Yoshinori Tamada Japan	23	1.2k 1.0×	129 0.3×	169 1.0×	218 1.3×	121 0.8×	92	2.2k
Harvey F. Fisher United States	27	1.5k 1.3×	180 0.4×	147 0.9×	145 0.9×	45 0.3×	123	3.3k

Countries citing papers authored by Sun Kim

Since Specialization

Citations

This map shows the geographic impact of Sun Kim'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 Sun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Kim more than expected).

Fields of papers citing papers by Sun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Kim. 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 Sun Kim. The network helps show where Sun Kim may publish in the future.

Co-authorship network of co-authors of Sun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Kim. A scholar is included among the top collaborators of Sun Kim 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 Sun Kim. Sun Kim 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:

20 of 20 papers shown

Lee, Sangseon, et al.. (2024). ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillation. Scientific Reports. 14(1). 23010–23010.

Kim, Nayeon, et al.. (2023). Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning. 5559–5573. 2 indexed citations

Islamaj, Rezarta, Robert Leaman, Sun Kim, et al.. (2021). NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature. Scientific Data. 8(1). 91–91. 39 indexed citations

Chen, Qingyu, Kyubum Lee, Shankai Yan, et al.. (2020). BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale. PLoS Computational Biology. 16(4). e1007617–e1007617. 34 indexed citations

Islamaj, Rezarta, Dongseop Kwon, Sun Kim, & Zhiyong Lu. (2020). TeamTat: a collaborative text annotation tool. Nucleic Acids Research. 48(W1). W5–W11. 37 indexed citations

Kim, Sun, Lana Yeganova, Donald C. Comeau, W. John Wilbur, & Zhiyong Lu. (2018). PubMed Phrases, an open set of coherent phrases for searching biomedical literature. Scientific Data. 5(1). 180104–180104. 13 indexed citations

Kim, Sun, Nicolas Fiorini, W. John Wilbur, & Zhiyong Lu. (2017). Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documents. Journal of Biomedical Informatics. 75. 122–127. 27 indexed citations

Kim, Sun. (2015). An efficient SA-KNN algorithm with adaptive Kvalue. Computer Engineering and Science. 1 indexed citations

Fang, Hua, et al.. (2015). A New Integrated Fuzzifier Evaluation and Selection (NIFEs) Algorithm for Fuzzy Clustering. Journal of Applied Mathematics and Physics. 3(7). 802–807. 9 indexed citations

10.

Liu, Wanli, Rezarta Islamaj, Sun Kim, et al.. (2013). Author name disambiguation for PubMed. Journal of the Association for Information Science and Technology. 65(4). 765–781. 61 indexed citations

11.

Berndt, Bruce C., Sun Kim, & Alexandru Zaharescu. (2013). Diophantine approximation of the exponential function and Sondowʼs Conjecture. Advances in Mathematics. 248. 1298–1331. 2 indexed citations

12.

Kim, Sun, et al.. (2012). Classifying Gene Sentences in Biomedical Literature by Combining High-Precision Gene Identifiers. North American Chapter of the Association for Computational Linguistics. 185–192. 2 indexed citations

13.

Berndt, Bruce C., Sun Kim, & Alexandru Zaharescu. (2011). Weighted divisor sums and Bessel function series, II. Advances in Mathematics. 229(3). 2055–2097. 11 indexed citations

14.

Pejaver, Vikas & Sun Kim. (2011). Gene Cluster Profile Vectors: a method to infer functionally related gene sets by grouping proximity-based gene clusters. BMC Genomics. 12(Suppl 2). S2–S2. 1 indexed citations

15.

Choi, Kwangmin & Sun Kim. (2010). Building interacting partner predictors using co‐varying residue pairs between histidine kinase and response regulator pairs of 48 bacterial two‐component systems. Proteins Structure Function and Bioinformatics. 79(4). 1118–1131. 3 indexed citations

16.

Kim, Sun & Ae Ja Yee. (2010). Göllnitz–Gordon identities and parity questions. European Journal of Combinatorics. 32(2). 288–293. 2 indexed citations

17.

Kim, Sun. (2008). Covering systems in number fields. Journal of Number Theory. 129(1). 122–141. 1 indexed citations

18.

Choi, Kwangmin & Sun Kim. (2008). ComPath: comparative enzyme analysis and annotation in pathway/subsystem contexts. BMC Bioinformatics. 9(1). 145–145. 8 indexed citations

19.

Wei, Susan, Curtis Balch, Henry Paik, et al.. (2006). Prognostic DNA Methylation Biomarkers in Ovarian Cancer. Clinical Cancer Research. 12(9). 2788–2794. 118 indexed citations

20.

Shin, Dongho, et al.. (1999). SCAI TREC-8 Experiments.. Text REtrieval Conference. 4 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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