Grace Yoon

477 total citations
7 papers, 268 citations indexed

About

Grace Yoon is a scholar working on Molecular Biology, Statistics and Probability and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Grace Yoon has authored 7 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Statistics and Probability and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Grace Yoon's work include Statistical Methods and Inference (3 papers), Bayesian Methods and Mixture Models (2 papers) and Epigenetics and DNA Methylation (2 papers). Grace Yoon is often cited by papers focused on Statistical Methods and Inference (3 papers), Bayesian Methods and Mixture Models (2 papers) and Epigenetics and DNA Methylation (2 papers). Grace Yoon collaborates with scholars based in United States, China and Vietnam. Grace Yoon's co-authors include Irina Gaynanova, Christian L. Müller, Tao Gao, Lifang Hou, Yinan Zheng, Brian Joyce, Lei Liu, Andrea Baccarelli, Haixiang Zhang and Zhou Zhang and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Frontiers in Genetics.

In The Last Decade

Grace Yoon

7 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Grace Yoon United States	5	153	64	56	28	26	7	268
Maëla Kloareg France	9	118 0.8×	66 1.0×	50 0.9×	7 0.3×	60 2.3×	13	423
Hyunwook Koh United States	13	261 1.7×	19 0.3×	13 0.2×	9 0.3×	55 2.1×	25	405
Keith Flanagan United Kingdom	6	258 1.7×	6 0.1×	82 1.5×	70 2.5×	17 0.7×	15	371
Mikhail Kovtun United States	9	128 0.8×	7 0.1×	14 0.3×	8 0.3×	48 1.8×	17	294
C Morrell United States	6	11 0.1×	34 0.5×	48 0.9×	7 0.3×	12 0.5×	8	268
K.-A. Do Australia	6	47 0.3×	31 0.5×	4 0.1×	12 0.4×	23 0.9×	10	271
Sophie Molnos Germany	5	155 1.0×	5 0.1×	21 0.4×	9 0.3×	35 1.3×	6	246
Amanda K. Riffel United States	10	89 0.6×	22 0.3×	62 1.1×	4 0.1×	18 0.7×	12	382
Arend Voorman United States	11	115 0.8×	29 0.5×	11 0.2×	5 0.2×	9 0.3×	12	367
Rob C. van Wijk Sweden	11	82 0.5×	13 0.2×	21 0.4×	14 0.5×	4 0.2×	24	326

Countries citing papers authored by Grace Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Grace Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Yoon

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

7 of 7 papers shown

1.

Yoon, Grace, Christian L. Müller, & Irina Gaynanova. (2021). Fast Computation of Latent Correlations. Journal of Computational and Graphical Statistics. 30(4). 1249–1256. 7 indexed citations

2.

Yoon, Grace, Wenxin Jiang, Lei Liu, & Ya‐Chen Tina Shih. (2019). Simple Quasi-Bayes Approach for Modeling Mean Medical Costs. The International Journal of Biostatistics. 16(1). 2 indexed citations

3.

Nannini, Drew R., Brian Joyce, Yinan Zheng, et al.. (2019). Epigenetic age acceleration and metabolic syndrome in the coronary artery risk development in young adults study. Clinical Epigenetics. 11(1). 160–160. 56 indexed citations

4.

Yoon, Grace, Irina Gaynanova, & Christian L. Müller. (2019). Microbial Networks in SPRING - Semi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data. Frontiers in Genetics. 10. 516–516. 73 indexed citations

5.

Yoon, Grace, Yinan Zheng, Zhou Zhang, et al.. (2017). Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome. BMC Bioinformatics. 18(1). 156–156. 5 indexed citations

6.

Zhang, Haixiang, Yinan Zheng, Grace Yoon, et al.. (2017). Regularized estimation in sparse high-dimensional multivariate regression, with application to a DNA methylation study. Statistical Applications in Genetics and Molecular Biology. 16(3). 159–171. 3 indexed citations

7.

Zhang, Haixiang, Yinan Zheng, Zhou Zhang, et al.. (2016). Estimating and testing high-dimensional mediation effects in epigenetic studies. Bioinformatics. 32(20). 3150–3154. 122 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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