Kwangbom Choi

2.1k total citations
14 papers, 650 citations indexed

About

Kwangbom Choi is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Kwangbom Choi has authored 14 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Neurology. Recurrent topics in Kwangbom Choi's work include Bioinformatics and Genomic Networks (4 papers), Genomics and Chromatin Dynamics (4 papers) and Single-cell and spatial transcriptomics (3 papers). Kwangbom Choi is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Genomics and Chromatin Dynamics (4 papers) and Single-cell and spatial transcriptomics (3 papers). Kwangbom Choi collaborates with scholars based in United States and Japan. Kwangbom Choi's co-authors include Narayanan Raghupathy, Gary A. Churchill, Steven C. Munger, Daniel M. Gatti, Karen L. Svenson, Petr Šimeček, Edward L. Huttlin, Joel M. Chick, Steven P. Gygi and Daniel A. Skelly and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Kwangbom Choi

14 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kwangbom Choi United States	10	480	210	82	63	58	14	650
Narayanan Raghupathy United States	10	415 0.9×	236 1.1×	77 0.9×	50 0.8×	41 0.7×	15	575
Sidney H. Wang United States	9	717 1.5×	144 0.7×	203 2.5×	75 1.2×	55 0.9×	15	873
Sarah Aldridge United Kingdom	5	673 1.4×	164 0.8×	116 1.4×	133 2.1×	14 0.2×	6	814
Huida Wan China	8	395 0.8×	107 0.5×	86 1.0×	61 1.0×	40 0.7×	8	572
Christian Feller Germany	10	660 1.4×	117 0.6×	105 1.3×	51 0.8×	90 1.6×	12	780
Jurjen W. Westra United States	14	457 1.0×	175 0.8×	57 0.7×	89 1.4×	100 1.7×	20	692
Mirta Grifman Israel	14	531 1.1×	238 1.1×	46 0.6×	33 0.5×	52 0.9×	19	810
Kent E. Duncan Germany	16	1.0k 2.1×	108 0.5×	66 0.8×	111 1.8×	26 0.4×	23	1.1k
Galkin Ap Russia	15	730 1.5×	59 0.3×	67 0.8×	22 0.3×	198 3.4×	60	815

Countries citing papers authored by Kwangbom Choi

Since Specialization

Citations

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

Fields of papers citing papers by Kwangbom Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwangbom Choi

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

All Works

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14 of 14 papers shown

Choi, Kwangbom, Mohsen Zakeri, Matthew Vincent, et al.. (2023). SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty. Genome biology. 24(1). 165–165. 3 indexed citations

Sarkar, Hirak, et al.. (2022). Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets. Bioinformatics. 38(10). 2773–2780. 7 indexed citations

Yang, Hongtian, Kristen D. Onos, Kwangbom Choi, et al.. (2021). Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer’s disease. Cell Reports. 34(6). 108739–108739. 53 indexed citations

Choi, Kwangbom, Yang Chen, Daniel A. Skelly, & Gary A. Churchill. (2020). Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics. Genome biology. 21(1). 183–183. 40 indexed citations

Yang, Hongtian, Kristen D. Onos, Kwangbom Choi, et al.. (2020). Natural Genetic Variation Determines Microglia Heterogeneity in Wild-Derived Mouse Models of Alzheimer's Disease. SSRN Electronic Journal. 1 indexed citations

Choi, Kwangbom, Narayanan Raghupathy, & Gary A. Churchill. (2019). A Bayesian mixture model for the analysis of allelic expression in single cells. Nature Communications. 10(1). 5188–5188. 16 indexed citations

Raghupathy, Narayanan, Kwangbom Choi, Matthew Vincent, et al.. (2018). Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression. Bioinformatics. 34(13). 2177–2184. 53 indexed citations

Baker, Christopher L., Michael Walker, Seda Arat, et al.. (2018). Tissue-Specific Trans Regulation of the Mouse Epigenome. Genetics. 211(3). 831–845. 10 indexed citations

Chick, Joel M., Steven C. Munger, Petr Šimeček, et al.. (2016). Defining the consequences of genetic variation on a proteome-wide scale. Nature. 534(7608). 500–505. 244 indexed citations

10.

Walker, Michael, Timothy Billings, Christopher L. Baker, et al.. (2015). Affinity-seq detects genome-wide PRDM9 binding sites and reveals the impact of prior chromatin modifications on mammalian recombination hotspot usage. Epigenetics & Chromatin. 8(1). 31–31. 55 indexed citations

11.

Baker, Christopher L., Shimpei Kajita, Michael Walker, et al.. (2015). PRDM9 Drives Evolutionary Erosion of Hotspots in Mus musculus through Haplotype-Specific Initiation of Meiotic Recombination. PLoS Genetics. 11(1). e1004916–e1004916. 94 indexed citations

12.

Munger, Steven C., Narayanan Raghupathy, Kwangbom Choi, et al.. (2014). RNA-Seq Alignment to Individualized Genomes Improves Transcript Abundance Estimates in Multiparent Populations. Genetics. 198(1). 59–73. 53 indexed citations

13.

Choi, Kwangbom & Shawn M. Gomez. (2009). Comparison of phylogenetic trees through alignment of embedded evolutionary distances. BMC Bioinformatics. 10(1). 423–423. 14 indexed citations

14.

Gomez, Shawn M., Kwangbom Choi, & Yang Wu. (2008). Prediction of Protein‐Protein Interaction Networks. Current Protocols in Bioinformatics. 22(1). 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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