Haodi Wu
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiomyopathy and Myosin Studies
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- Neuroscience and Neural Engineering
Papers in
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- Cardiomyopathy and Myosin Studies 7
- Cardiac electrophysiology and arrhythmias 7
- Co-authors
- Joseph C. WuArun SharmaPaul W. BurridgeElena MatsaJared M. ChurkoSean M. WuAlexandra HolmströmAntje Ebert
- Journals
- Circulation Research (5 papers)Cell stem cell (5 papers)Scientific Reports (3 papers)Cardiovascular Research (2 papers)Circulation (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Haodi Wu
55 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cardiology and Cardiovascular Medicine 1.2k
- Cellular and Molecular Neuroscience 703
- Molecular Biology 2.3k
- Biophysics 109
- Biomedical Engineering 806
Countries citing papers authored by Haodi Wu
This map shows the geographic impact of Haodi 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 Haodi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haodi Wu more than expected).
Fields of papers citing papers by Haodi Wu
This network shows the impact of papers produced by Haodi 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 Haodi Wu. The network helps show where Haodi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haodi Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 17 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 67 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 94 | |
| 10 | 2018 | 137 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 287 | |
| 13 | 2017 | 97 | |
| 14 | 2017 | 90 | |
| 15 | 2016 | 38 | |
| 16 | Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity Hit paper breakdown → | 2016 | 533 |
| 17 | 2016 | 116 | |
| 18 | 2015 | 32 | |
| 19 | 2014 | 121 | |
| 20 | 2013 | 13 |
About Haodi Wu
Haodi Wu is a scholar working on Horticulture, Cardiology and Cardiovascular Medicine, Sensory Systems, Cellular and Molecular Neuroscience and Aging, having authored 56 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), Neuroscience and Neural Engineering (11 papers), CRISPR and Genetic Engineering (9 papers), 3D Printing in Biomedical Research (8 papers), Cardiomyopathy and Myosin Studies (7 papers), Cardiac electrophysiology and arrhythmias (7 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Congenital heart defects research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Cellular and Molecular Neuroscience (703 citations), Molecular Biology (2.3k citations), Biophysics (109 citations) and Biomedical Engineering (806 citations). Haodi Wu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Joseph C. Wu, Arun Sharma, Paul W. Burridge, Elena Matsa, Jared M. Churko, Sean M. Wu, Alexandra Holmström, Antje Ebert, Helen M. Blau and Feng Lan. Their work appears in journals such as Circulation Research, Cell stem cell, Scientific Reports, Cardiovascular Research and Circulation.
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.