Xuekun Wu

706 total citations · 1 hit paper
8 papers, 386 citations indexed

About

Xuekun Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Xuekun Wu has authored 8 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Xuekun Wu's work include Cardiac Fibrosis and Remodeling (5 papers), Pluripotent Stem Cells Research (2 papers) and Signaling Pathways in Disease (2 papers). Xuekun Wu is often cited by papers focused on Cardiac Fibrosis and Remodeling (5 papers), Pluripotent Stem Cells Research (2 papers) and Signaling Pathways in Disease (2 papers). Xuekun Wu collaborates with scholars based in United States, Germany and Netherlands. Xuekun Wu's co-authors include Mortimer Korf‐Klingebiel, Marc R. Reboll, Kai C. Wollert, Joseph C. Wu, Johann Bauersachs, Wenqiang Liu, Kyle Swanson, Hans W.M. Niessen, Felix Polten and Yong Wang and has published in prestigious journals such as Cell, Circulation and Circulation Research.

In The Last Decade

Xuekun Wu

8 papers receiving 384 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.

Angiogenesis after acute myocardial infarction

2020 254 citations Xuekun Wu, Marc R. Reboll et al. Cardiovascular Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuekun Wu United States	6	199	175	92	69	40	8	386
Kun Lü China	10	247 1.2×	100 0.6×	103 1.1×	104 1.5×	41 1.0×	36	493
Zulong Sheng China	13	211 1.1×	87 0.5×	97 1.1×	101 1.5×	47 1.2×	24	429
Patricia E. Shamhart United States	9	160 0.8×	226 1.3×	89 1.0×	57 0.8×	21 0.5×	10	405
Zhongpu Chen China	11	194 1.0×	80 0.5×	58 0.6×	98 1.4×	30 0.8×	17	360
Ruoshui Li China	13	187 0.9×	157 0.9×	62 0.7×	36 0.5×	71 1.8×	23	397
Daxing Liu China	9	133 0.7×	83 0.5×	94 1.0×	62 0.9×	56 1.4×	22	330
Natalie M. Landry Canada	10	132 0.7×	165 0.9×	75 0.8×	37 0.5×	24 0.6×	15	335
Zhaofu Liao China	7	217 1.1×	95 0.5×	72 0.8×	95 1.4×	24 0.6×	12	326

Countries citing papers authored by Xuekun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xuekun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuekun Wu

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

All Works

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8 of 8 papers shown

1.

Liu, Wenqiang, Xuekun Wu, Wenshu Zeng, Mark Chandy, & Joseph C. Wu. (2025). Cardiac fibrosis: from mechanisms and models to medicines. Trends in Pharmacological Sciences. 46(11). 1072–1090. 2 indexed citations

2.

Swanson, Kyle, et al.. (2024). Next-Gen Therapeutics: Pioneering Drug Discovery with iPSCs, Genomics, AI, and Clinical Trials in a Dish. The Annual Review of Pharmacology and Toxicology. 65(1). 71–90. 8 indexed citations

3.

Wu, Xuekun, Marc R. Reboll, Elvira Mass, et al.. (2024). Cysteine-rich with EGF-like domains 2 (CRELD2) is an endoplasmic reticulum stress-inducible angiogenic growth factor promoting ischemic heart repair. Nature Cardiovascular Research. 3(2). 186–202. 3 indexed citations

4.

Zhang, Hao, Phung N. Thai, Rabindra V. Shivnaraine, et al.. (2024). Multiscale drug screening for cardiac fibrosis identifies MD2 as a therapeutic target. Cell. 187(25). 7143–7163.e22. 25 indexed citations

5.

Wu, Xuekun, et al.. (2024). Clinical trials in-a-dish for cardiovascular medicine. European Heart Journal. 45(40). 4275–4290. 12 indexed citations

6.

Korf‐Klingebiel, Mortimer, Marc R. Reboll, Felix Polten, et al.. (2021). Myeloid-Derived Growth Factor Protects Against Pressure Overload–Induced Heart Failure by Preserving Sarco/Endoplasmic Reticulum Ca ²⁺ -ATPase Expression in Cardiomyocytes. Circulation. 144(15). 1227–1240. 40 indexed citations

7.

Wu, Xuekun, Marc R. Reboll, Mortimer Korf‐Klingebiel, & Kai C. Wollert. (2020). Angiogenesis after acute myocardial infarction. Cardiovascular Research. 117(5). 1257–1273. 254 indexed citations breakdown →

8.

Korf‐Klingebiel, Mortimer, Marc R. Reboll, Karsten Grote, et al.. (2019). Heparan Sulfate–Editing Extracellular Sulfatases Enhance VEGF Bioavailability for Ischemic Heart Repair. Circulation Research. 125(9). 787–801. 42 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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