Hae‐Won Uh

10.5k total citations
64 papers, 2.0k citations indexed

About

Hae‐Won Uh is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Hae‐Won Uh has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 19 papers in Genetics and 10 papers in Immunology. Recurrent topics in Hae‐Won Uh's work include Genetic Associations and Epidemiology (14 papers), Gene expression and cancer classification (13 papers) and Glycosylation and Glycoproteins Research (8 papers). Hae‐Won Uh is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Gene expression and cancer classification (13 papers) and Glycosylation and Glycoproteins Research (8 papers). Hae‐Won Uh collaborates with scholars based in Netherlands, United Kingdom and Germany. Hae‐Won Uh's co-authors include Jeanine J. Houwing‐Duistermaat, P. Eline Slagboom, Marian Beekman, Said el Bouhaddani, L. Renee Ruhaak, Manfred Wuhrer, Maria Yazdanbakhsh, André M. Deelder, Geurt Jongbloed and Franca C. Hartgers and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Current Biology.

In The Last Decade

Hae‐Won Uh

62 papers receiving 2.0k citations

Peers

Hae‐Won Uh

IMMUN

PHYSI

GENET

RNMI

Keping Hu China

Qing Chang China

Satoshi Mizuno Japan

Hannes Hahne Germany

Fang Yu United States

Yingying Guo China

David Engler United States

Renhong Yan China

Pawan Gupta India

Koji Ogata Japan

Keping Hu China

Hae‐Won Uh

1.1k ×1.2

275 ×0.7

IMMUN

163 ×0.7

PHYSI

294 ×1.2

GENET

116 ×0.6

RNMI

Citations per year, relative to Hae‐Won Uh Hae‐Won Uh (= 1×) peers Keping Hu

Countries citing papers authored by Hae‐Won Uh

Since Specialization

Citations

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

Fields of papers citing papers by Hae‐Won Uh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae‐Won Uh. 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 Hae‐Won Uh. The network helps show where Hae‐Won Uh may publish in the future.

Co-authorship network of co-authors of Hae‐Won Uh

This figure shows the co-authorship network connecting the top 25 collaborators of Hae‐Won Uh. A scholar is included among the top collaborators of Hae‐Won Uh 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 Hae‐Won Uh. Hae‐Won Uh 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

Bouhaddani, Said el, Hae‐Won Uh, Geurt Jongbloed, & Jeanine J. Houwing‐Duistermaat. (2022). Statistical Integration of Heterogeneous Omics Data: Probabilistic Two-Way Partial Least Squares (PO2PLS). Journal of the Royal Statistical Society Series C (Applied Statistics). 71(5). 1451–1470. 3 indexed citations

Gill, Simrat, Karina V Bunting, Claudio Sartini, et al.. (2022). Smartphone detection of atrial fibrillation using photoplethysmography: a systematic review and meta-analysis. Heart. 108(20). 1600–1607. 34 indexed citations

Uh, Hae‐Won, Lucija Klarić, Ivo Ugrina, et al.. (2020). Choosing proper normalization is essential for discovery of sparse glycan biomarkers. Molecular Omics. 16(3). 231–242. 15 indexed citations

Uh, Hae‐Won, Lucija Klarić, Ivo Ugrina, et al.. (2020). Choosing proper normalization is essential for discovery of sparse glycan biomarkers. OMICS A Journal of Integrative Biology. 16(3). 231–242. 2 indexed citations

Remondini, Daniel, et al.. (2020). Prediction of vascular aging based on smartphone acquired PPG signals. Scientific Reports. 10(1). 19756–19756. 46 indexed citations

Hoesein, Firdaus A. A. Mohamed, Pauline M. Ellerbroek, Joris M. van Montfrans, et al.. (2020). Low IgA Associated With Oropharyngeal Microbiota Changes and Lung Disease in Primary Antibody Deficiency. Frontiers in Immunology. 11. 1245–1245. 29 indexed citations

Uh, Hae‐Won, et al.. (2019). The mixed model for the analysis of a repeated‐measurement multivariate count data. Statistics in Medicine. 38(12). 2248–2268. 14 indexed citations

Paganelli, Fernanda L., Misha Luyer, Hae‐Won Uh, et al.. (2019). Roux-Y Gastric Bypass and Sleeve Gastrectomy directly change gut microbiota composition independent of surgery type. Scientific Reports. 9(1). 10979–10979. 67 indexed citations

Hamer, Merel A., Luba M. Pardo, Leonie C. Jacobs, et al.. (2018). Facial Wrinkles in Europeans: A Genome-Wide Association Study. Journal of Investigative Dermatology. 138(8). 1877–1880. 12 indexed citations

10.

Beekman, Marian, Hae‐Won Uh, Manfred Wuhrer, et al.. (2016). Classification for Longevity Potential: The Use of Novel Biomarkers. Frontiers in Public Health. 4. 233–233. 8 indexed citations

11.

Bouhaddani, Said el, Jeanine J. Houwing‐Duistermaat, Perttu Salo, et al.. (2016). Evaluation of O2PLS in Omics data integration. BMC Bioinformatics. 17(S2). 11–11. 127 indexed citations

12.

Houwing‐Duistermaat, Jeanine J., et al.. (2014). Gene analysis for longitudinal family data using random-effects models. BMC Proceedings. 8(S1). S88–S88. 2 indexed citations

13.

González-Covarrubias, Vanessa, Marian Beekman, Hae‐Won Uh, et al.. (2013). Lipidomics of familial longevity. Aging Cell. 12(3). 426–434. 130 indexed citations

14.

Uh, Hae‐Won, Daniëlle Cohen, Sicco A. Scherjon, et al.. (2012). OS092. qPCR-based analysis of podocyturia is a feasible diagnostic tool in preeclampsia. Pregnancy Hypertension. 2(3). 228–228. 1 indexed citations

15.

Uh, Hae‐Won, Roula Tsonaka, & Jeanine J. Houwing‐Duistermaat. (2011). Does pathway analysis make it easier for common variants to tag rare ones?. BMC Proceedings. 5(S9). S90–S90. 9 indexed citations

16.

Ruhaak, L. Renee, Hae‐Won Uh, Marian Beekman, et al.. (2010). Plasma protein N-glycan profiles are associated with calendar age, familial longevity and health. Journal of Proteome Research. 10(4). 1667–1674. 85 indexed citations

17.

Uh, Hae‐Won, Jeanine J. Houwing‐Duistermaat, Hein Putter, & Hans C. van Houwelingen. (2009). Assessment of global phase uncertainty in case-control studies. BMC Genetics. 10(1). 54–54. 2 indexed citations

18.

Mehta, Akash, Ekaterina S. Jordanova, Willem E. Corver, et al.. (2009). Single nucleotide polymorphisms in antigen processing machinery component ERAP1 significantly associate with clinical outcome in cervical carcinoma. Genes Chromosomes and Cancer. 48(5). 410–418. 79 indexed citations

19.

Wesoły, Joanna, Xiaolan Hu, Mohamed M. Thabet, et al.. (2006). The 620W allele is the PTPN22 genetic variant conferring susceptibility to RA in a Dutch population. Lara D. Veeken. 46(4). 617–621. 33 indexed citations

20.

Houwing‐Duistermaat, Jeanine J., Hae‐Won Uh, Jérémie Lebrec, Hein Putter, & Li Hsu. (2005). Modeling the effect of an associated single-nucleotide polymorphism in linkage studies. BMC Genetics. 6(S1). S46–S46. 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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