Heejung Shim

1.6k total citations · 1 hit paper
20 papers, 619 citations indexed

About

Heejung Shim is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Heejung Shim has authored 20 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Heejung Shim's work include Single-cell and spatial transcriptomics (5 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (4 papers). Heejung Shim is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (4 papers). Heejung Shim collaborates with scholars based in Australia, United States and Germany. Heejung Shim's co-authors include Matthew Stephens, Paul M. Ridker, Joshua D. Smith, Ronald M. Krauss, Samia Mora, Daniel I. Chasman, Deborah A. Nickerson, Jonathan K. Pritchard, Anil Raj and Yoav Gilad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Heejung Shim

18 papers receiving 615 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Multivariate Genome-Wide Association Analysis of 10 LDL Subfractions, and Their Response to Statin Treatment, in 1868 Caucasians

2015 324 citations Heejung Shim, Daniel I. Chasman et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heejung Shim Australia	8	332	223	84	50	41	20	619
Carlo Sidore Italy	12	309 0.9×	417 1.9×	83 1.0×	43 0.9×	26 0.6×	24	671
Andrew Crenshaw United States	8	236 0.7×	182 0.8×	73 0.9×	37 0.7×	43 1.0×	12	664
Urko M. Marigorta Spain	16	319 1.0×	506 2.3×	61 0.7×	77 1.5×	83 2.0×	29	812
Ricardo A. Verdugo Chile	15	219 0.7×	179 0.8×	43 0.5×	37 0.7×	78 1.9×	33	516
Yoshiki Yasukochi Japan	14	210 0.6×	178 0.8×	61 0.7×	17 0.3×	85 2.1×	58	528
Yao Zhou China	12	230 0.7×	195 0.9×	38 0.5×	39 0.8×	25 0.6×	45	522
Laurel A Bastone United States	5	325 1.0×	218 1.0×	71 0.8×	81 1.6×	32 0.8×	6	556
Stefanie Eggers Australia	15	466 1.4×	450 2.0×	83 1.0×	21 0.4×	27 0.7×	25	728
Yontao Lu United States	8	496 1.5×	351 1.6×	81 1.0×	196 3.9×	28 0.7×	8	843

Countries citing papers authored by Heejung Shim

Since Specialization

Citations

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

Fields of papers citing papers by Heejung Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heejung Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Heejung Shim. A scholar is included among the top collaborators of Heejung Shim 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 Heejung Shim. Heejung Shim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shim, Heejung, et al.. (2025). A hierarchical, count-based model highlights challenges in scATAC-seq data analysis and points to opportunities to extract finer-resolution information. Genome biology. 26(1). 282–282.

Tan, Mun Hua, Kathryn E. Tiedje, Qian Feng, et al.. (2025). A paradoxical population structure of var DBLα types in Africa. PLoS Pathogens. 21(2). e1012813–e1012813. 1 indexed citations

Shim, Heejung, et al.. (2024). Semi-Supervised Learning Under General Causal Models. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7345–7356. 2 indexed citations

Shim, Heejung, et al.. (2024). Multiscale Poisson process approaches for detecting and estimating differences from high-throughput sequencing assays. The Annals of Applied Statistics. 18(3). 1 indexed citations

Mangiola, Stefano, Alexandra J. Roth‐Schulze, Marie Trussart, et al.. (2023). sccomp: Robust differential composition and variability analysis for single-cell data. Proceedings of the National Academy of Sciences. 120(33). e2203828120–e2203828120. 13 indexed citations

Prawer, Yair D. J., et al.. (2023). Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE. Genome biology. 24(1). 66–66. 25 indexed citations

Tan, Mun Hua, Heejung Shim, Yao-ban Chan, & Karen P. Day. (2023). Unravelling var complexity: Relationship between DBLα types and var genes in Plasmodium falciparum. PubMed. 1. 7 indexed citations

Lyu, Ruqian, et al.. (2022). sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data. Nucleic Acids Research. 50(20). e118–e118. 5 indexed citations

Clark, Michael B., et al.. (2022). NanoSplicer: accurate identification of splice junctions using Oxford Nanopore sequencing. Bioinformatics. 38(15). 3741–3748. 9 indexed citations

10.

Feng, Qian, Kathryn E. Tiedje, Shazia Ruybal‐Pesántez, et al.. (2022). An accurate method for identifying recent recombinants from unaligned sequences. Bioinformatics. 38(7). 1823–1829. 4 indexed citations

11.

Li, Hui, Davis J. McCarthy, Heejung Shim, & Susan Wei. (2022). Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics. BMC Bioinformatics. 23(1). 460–460. 7 indexed citations

12.

Shim, Heejung, et al.. (2022). Effects of Postpartum Depression, Social Support, Maternal Identity on Maternal Postpartum Quality of Life among Women in Postpartum Period. 26(1). 1–14.

13.

Shim, Heejung, et al.. (2021). McSplicer: a probabilistic model for estimating splice site usage from RNA-seq data. Bioinformatics. 37(14). 2004–2011. 3 indexed citations

14.

Shim, Heejung & Bret Larget. (2017). BayesCAT: Bayesian Co-estimation of Alignment and Tree. Biometrics. 74(1). 270–279. 4 indexed citations

15.

Schor, Ignacio E., Jacob F. Degner, Dermot Harnett, et al.. (2017). Promoter shape varies across populations and affects promoter evolution and expression noise. Nature Genetics. 49(4). 550–558. 50 indexed citations

16.

Raj, Anil, Sidney H. Wang, Heejung Shim, et al.. (2016). Thousands of novel translated open reading frames in humans inferred by ribosome footprint profiling. eLife. 5. 109 indexed citations

17.

Shim, Heejung, Daniel I. Chasman, Joshua D. Smith, et al.. (2015). A Multivariate Genome-Wide Association Analysis of 10 LDL Subfractions, and Their Response to Statin Treatment, in 1868 Caucasians. PLoS ONE. 10(4). e0120758–e0120758. 324 indexed citations breakdown →

18.

Raj, Anil, Heejung Shim, Yoav Gilad, Jonathan K. Pritchard, & Matthew Stephens. (2015). msCentipede: Modeling Heterogeneity across Genomic Sites and Replicates Improves Accuracy in the Inference of Transcription Factor Binding. PLoS ONE. 10(9). e0138030–e0138030. 26 indexed citations

19.

Shim, Heejung, Hyonho Chun, Corinne D. Engelman, & Bret A. Payseur. (2009). Genome-wide association studies using single-nucleotide polymorphisms versus haplotypes: an empirical comparison with data from the North American Rheumatoid Arthritis Consortium. BMC Proceedings. 3(S7). S35–S35. 22 indexed citations

20.

Shim, Heejung & Sündüz Keleş. (2007). Integrating quantitative information from ChIP-chip experiments into motif finding. Biostatistics. 9(1). 51–65. 7 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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