Chen‐Yang Su

1.2k total citations · 1 hit paper
6 papers, 435 citations indexed

About

Chen‐Yang Su is a scholar working on Molecular Biology, Rheumatology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chen‐Yang Su has authored 6 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Rheumatology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chen‐Yang Su's work include Genetic Associations and Epidemiology (2 papers), Diabetes Management and Research (2 papers) and Diabetes Treatment and Management (1 paper). Chen‐Yang Su is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Diabetes Management and Research (2 papers) and Diabetes Treatment and Management (1 paper). Chen‐Yang Su collaborates with scholars based in Canada, Japan and United States. Chen‐Yang Su's co-authors include Satoshi Yoshiji, Kevin Y. H. Liang, J. Brent Richards, Yiheng Chen, Tomoko Nakanishi, Vincenzo Forgetta, Yossi Farjoun, Guillaume Butler‐Laporte, Claudia Langenberg and Isobel D. Stewart and has published in prestigious journals such as Nature Genetics, Bioinformatics and Diabetes Care.

In The Last Decade

Chen‐Yang Su

3 papers receiving 434 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.

Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases

2023 421 citations Yiheng Chen, Tianyuan Lu et al. Nature Genetics profile →

Peers

Chen‐Yang Su

MB

GENET

EPIDE

CR

PHYSI

Chia‐Ni Hsiung Taiwan

Michele V. Clarke Australia

Anna Barbosa-Desongles Spain

Yuechi Xu United States

Keith L. Keene United States

Ye An Kim South Korea

Shinji Susa Japan

Ricky Lali Canada

Tina Kienitz Germany

Dan Lan China

Chia‐Ni Hsiung Taiwan

Chen‐Yang Su

268 ×1.3

MB

127 ×0.9

GENET

68 ×0.8

EPIDE

113 ×1.7

CR

32 ×0.5

PHYSI

Citations per year, relative to Chen‐Yang Su Chen‐Yang Su (= 1×) peers Chia‐Ni Hsiung

Countries citing papers authored by Chen‐Yang Su

Since Specialization

Citations

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

Fields of papers citing papers by Chen‐Yang Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Yang Su. 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 Chen‐Yang Su. The network helps show where Chen‐Yang Su may publish in the future.

Co-authorship network of co-authors of Chen‐Yang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Yang Su. A scholar is included among the top collaborators of Chen‐Yang Su 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 Chen‐Yang Su. Chen‐Yang Su 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:

6 of 6 papers shown

1.

Su, Chen‐Yang, et al.. (2025). Leveraging Proteomics and Proteogenomics for Understanding Osteoporosis and Other Musculoskeletal Diseases. Current Osteoporosis Reports. 23(1). 43–43.

2.

Su, Chen‐Yang, et al.. (2025). Comment on Kofod et al. The Association Between Hemoglobin A1c and Complications Among Individuals With Diabetes and Severe Chronic Kidney Disease. Diabetes Care 2025;48:1400–1409. Diabetes Care. 48(11). e156–e157.

3.

Su, Chen‐Yang, et al.. (2025). Cardiovascular risk reduction with glucagon‐like peptide‐1 receptor agonists is proportional to HbA1c lowering in type 2 diabetes: An updated meta‐regression analysis incorporating FLOW and SOUL trials. Diabetes Obesity and Metabolism. 27(12). 7210–7220.

4.

Zhang, Wenmin, Chen‐Yang Su, Satoshi Yoshiji, & Tianyuan Lu. (2024). MR Corge: sensitivity analysis of Mendelian randomization based on the core gene hypothesis for polygenic exposures. Bioinformatics. 40(11). 1 indexed citations

5.

Butler‐Laporte, Guillaume, Yossi Farjoun, Yiheng Chen, et al.. (2023). Increasing serum iron levels and their role in the risk of infectious diseases: a Mendelian randomization approach. International Journal of Epidemiology. 52(4). 1163–1174. 13 indexed citations

6.

Chen, Yiheng, Tianyuan Lu, U. Pettersson, et al.. (2023). Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases. Nature Genetics. 55(1). 44–53. 421 indexed citations breakdown →

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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