Yi-An Ko

4.6k total citations · 1 hit paper
32 papers, 2.4k citations indexed

About

Yi-An Ko is a scholar working on Molecular Biology, Genetics and Nephrology. According to data from OpenAlex, Yi-An Ko has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Nephrology. Recurrent topics in Yi-An Ko's work include Chronic Kidney Disease and Diabetes (7 papers), Genetic Associations and Epidemiology (5 papers) and Epigenetics and DNA Methylation (5 papers). Yi-An Ko is often cited by papers focused on Chronic Kidney Disease and Diabetes (7 papers), Genetic Associations and Epidemiology (5 papers) and Epigenetics and DNA Methylation (5 papers). Yi-An Ko collaborates with scholars based in United States, Taiwan and Japan. Yi-An Ko's co-authors include Katalin Suszták, Ae Seo Deok Park, James Pullman, Peter S. Choi, Hyun Mi Kang, Jianling Tao, Seon Ho Ahn, Ira J. Goldberg, Frank Chinga and Seung Hyeok Han and has published in prestigious journals such as New England Journal of Medicine, Chemical Reviews and Nucleic Acids Research.

In The Last Decade

Yi-An Ko

31 papers receiving 2.4k 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.

Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development

2014 1.1k citations Hyun Mi Kang, Seon Ho Ahn et al. Nature Medicine profile →

Peers

Countries citing papers authored by Yi-An Ko

Since Specialization

Citations

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

Fields of papers citing papers by Yi-An Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-An Ko. 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 Yi-An Ko. The network helps show where Yi-An Ko may publish in the future.

Co-authorship network of co-authors of Yi-An Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-An Ko. A scholar is included among the top collaborators of Yi-An Ko 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 Yi-An Ko. Yi-An Ko 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

#	Work	Indexed citations
1	Blood pressure, plasma proteins, and cardiovascular diseases: a network Mendelian randomization and observational study 2025 ·European Heart Journal ·(unknown), (unknown), (unknown), James Yarmolinsky, (unknown), Fotios Koskeridis, Yi-An Ko, Marie‐Joe Dib, (unknown), Yiannis Vasilopoulos, (unknown), Georg Otto, Dipender Gill, Manuel Mayr, Paul Elliott, Abbas Dehghan, Ioanna Tzoulaki	1
2	Employment status as a predictor of adverse outcomes in patients with coronary artery disease 2025 ·American Journal of Preventive Cardiology ·(unknown), (unknown), (unknown), Matthew Gold, Vardhmaan Jain, Alexander C. Razavi, (unknown), Daniel Gold, Yi-An Ko, (unknown), Chang Liu, (unknown), Muhammad Owais, (unknown), (unknown), (unknown), Laurence Sperling, Arshed A. Quyyumi	1
3	Identification of protein targets for dyslipidaemia and cardiovascular diseases among people with South Asian ancestry: a mendelian randomisation study 2025 ·The Lancet Regional Health - Southeast Asia ·(unknown), (unknown), A.C. Smith, (unknown), Georg Otto, Yi-An Ko, James Yarmolinsky, Dipender Gill, Anand Rohatgi, Abbas Dehghan, Ioanna Tzoulaki	1
4	Lipoprotein(a) Levels and Adverse Outcomes in Heart Failure 2025 ·Journal of Cardiac Failure ·(unknown), (unknown), Alexander C. Razavi, Yi-An Ko, Ayman Alkhoder, (unknown), (unknown), (unknown), (unknown), Arshed A. Quyyumi	1
5	ILRUN Promotes Atherosclerosis Through Lipid-Dependent and Lipid-Independent Factors 2022 ·Arteriosclerosis Thrombosis and Vascular Biology ·Xin Bi, (unknown), Paul C. Lee, Ziyi Wang, Xun Wu, Li Li, Yi-An Ko, Lan Cheng, Hanrui Zhang, Nicholas J. Hand, Daniel J. Rader	4
6	ApoJ/Clusterin concentrations are determinants of cerebrospinal fluid cholesterol efflux capacity and reduced levels are associated with Alzheimer’s disease 2022 ·Alzheimer s Research & Therapy ·Yi-An Ko, Jeffrey T. Billheimer, Nicholas N. Lyssenko, Alexandra Kueider‐Paisley, David A. Wolk, Steven E. Arnold, Yuk Yee Leung, Leslie M. Shaw, John Q. Trojanowski, Rima Kaddurah‐Daouk, Mitchel A. Kling, Daniel J. Rader	13
7	Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank 2021 ·Journal of the American Medical Informatics Association ·Matthew T. MacLean, Qasim Jehangir, Marijana Vujković, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya M. Carr, Daniel J. Rader, Walter R. Witschey	14
8	Usefulness of Restless Legs Symptoms to Predict Adverse Cardiovascular Outcomes in Men With Coronary Artery Disease 2021 ·The American Journal of Cardiology ·Zakaria Almuwaqqat, Jeong Hwan Kim, Shabatun Islam, Anurag Mehta, (unknown), Mohamad Wehbe, (unknown), Devinder S. Dhindsa, Nour Beydoun, (unknown), Kiran Ejaz, (unknown), Ayman Alkhoder, Ayman Samman Tahhan, (unknown), (unknown), Yi-An Ko, Laurence Sperling, David B. Rye, Arshed A. Quyyumi	3
9	A genome-first approach to mortality and metabolic phenotypes in MTARC1 p.Ala165Thr (rs2642438) heterozygotes and homozygotes 2021 ·Med ·Carolin V. Schneider, Kai Markus Schneider, Donna Conlon, Joseph Park, Marijana Vujković, Inuk Zandvakili, Yi-An Ko, Christian Trautwein, Rotonya M. Carr, Pavel Strnad, Christoph A. Thaiss, Daniel J. Rader	28
10	Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease 2019 ·Nature Communications ·Caroline Gluck, Chengxiang Qiu, Sang Youb Han, Matthew Palmer, Jihwan Park, Yi-An Ko, Yuting Guan, Xin Sheng, Robert L. Hanson, Jing Huang, Yong Chen, Ae Seo Deok Park, María C. Izquierdo, Ioannis Mantzaris, Amit Verma, James Pullman, Hongzhe Li, Katalin Suszták	59
11	Renal compartment–specific genetic variation analyses identify new pathways in chronic kidney disease 2018 ·Nature Medicine ·Chengxiang Qiu, Shizheng Huang, Jihwan Park, YoSon Park, Yi-An Ko, Matthew J. Seasock, (unknown), Xiang‐Xi Xu, Wen-Chao Song, Matthew Palmer, Jon Hill, Paolo Guarnieri, Julie A. Hawkins, Carine M. Boustany‐Kari, Steven S. Pullen, Christopher D. Brown, Katalin Suszták	146
12	Cardiovascular Disease Biomarkers and suPAR in Predicting Decline in Renal Function: A Prospective Cohort Study 2017 ·Kidney International Reports ·Salim S. Hayek, Yi-An Ko, Mosaab Awad, Hina Ahmed, (unknown), (unknown), Hiroshi Aida, Melissa Tracy, Changli Wei, Sanja Sever, Jochen Reiser, Arshed A. Quyyumi	21
13	Human Kidney Tubule-Specific Gene Expression Based Dissection of Chronic Kidney Disease Traits 2017 ·EBioMedicine ·Pazit Beckerman, Chengxiang Qiu, Jihwan Park, Nóra Ledó, Yi-An Ko, (unknown), Sang Youb Han, Peter S. Choi, Matthew Palmer, Katalin Suszták	54
14	Genetic-Variation-Driven Gene-Expression Changes Highlight Genes with Important Functions for Kidney Disease 2017 ·The American Journal of Human Genetics ·Yi-An Ko, Huiguang Yi, Chengxiang Qiu, Shizheng Huang, Jihwan Park, Nóra Ledó, Anna Köttgen, Hongzhe Li, Daniel J. Rader, Michael Pack, Christopher D. Brown, Katalin Suszták	53
15	Soluble Urokinase Receptor and Chronic Kidney Disease 2015 ·New England Journal of Medicine ·Salim S. Hayek, Sanja Sever, Yi-An Ko, Howard Trachtman, Mosaab Awad, Shikha Wadhwani, Mehmet M. Altintas, Changli Wei, Anna Hotton, Audrey L. French, Laurence Sperling, Stamatios Lerakis, Arshed A. Quyyumi, Jochen Reiser	293
16	Kidney Cancer Is Characterized by Aberrant Methylation of Tissue-Specific Enhancers That Are Prognostic for Overall Survival 2014 ·Clinical Cancer Research ·(unknown), Davoud Mohtat, Yiting Yu, Yi-An Ko, Niraj Shenoy, Sanchari Bhattacharya, María C. Izquierdo, Ae Seo Deok Park, Orsi Giricz, Nishanth Vallumsetla, Krishna Gundabolu, (unknown), Tushar D. Bhagat, Masako Suzuki, James Pullman, (unknown), John M. Greally, Katalin Suszták, Amit Verma	55
17	Functional Genomic Annotation of Genetic Risk Loci Highlights Inflammation and Epithelial Biology Networks in CKD 2014 ·Journal of the American Society of Nephrology ·Nóra Ledó, Yi-An Ko, (unknown), Hyun Mi Kang, Sang Youb Han, Peter S. Choi, Katalin Suszták	43
18	Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development breakdown → 2014 ·Nature Medicine ·Hyun Mi Kang, Seon Ho Ahn, Peter S. Choi, Yi-An Ko, Seung Hyeok Han, Frank Chinga, Ae Seo Deok Park, Jianling Tao, Kumar Sharma, James Pullman, Erwin P. Böttinger, Ira J. Goldberg, Katalin Suszták	1119
19	Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development 2013 ·Genome biology ·Yi-An Ko, Davoud Mohtat, Masako Suzuki, Ae Seo Deok Park, María C. Izquierdo, Sang Youb Han, Hyun Mi Kang, Han Si, Thomas H. Hostetter, James Pullman, Melissa Fazzari, Amit Verma, Deyou Zheng, John M. Greally, Katalin Suszták	180
20	An all-statistics, high-speed algorithm for the analysis of copy number variation in genomes 2011 ·Nucleic Acids Research ·Chih‐Hao Chen, (unknown), Qing‐Dong Ling, (unknown), Yi-An Ko, (unknown), Sun-Chong Wang, Li-Ching Wu, (unknown)	4

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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