Joseph C. Wu

68.9k citations
671 papers · 40.1k indexed · 12 hit papers · h-index 108

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Congenital heart defects research
  • Genetics top 0.1%
    • Mesenchymal stem cell research

Papers in

Joseph C. Wu

647 papers receiving 39.5k citations

Hit Papers

Artificial intelligence in drug development 2025 · 110 citations
11019902026200220142505007501000

Peers

Joseph C. Wu
Comparison fields: 5 of 199
  • Molecular Biology 24.6k
  • Genetics 3.6k
  • Cardiology and Cardiovascular Medicine 6.5k
  • Biomaterials 3.3k
  • Cellular and Molecular Neuroscience 4.2k
Replace Simon C. Watkins with:
Simon C. Watkins United States
Christian Weber Germany
Josef Penninger Austria
Ronald G. Crystal United States
Donald M. McDonald United States
Klaus Ley United States
Shinya Yamanaka Japan
Russell Ross United States
Elisabetta Dejana Italy
Michael B. Sporn United States
Joseph C. Wu relative to Simon C. Watkins United States Simon C. Watkins's profile →
Citations per field
00.5×2.7×
Simon C. Watkins · 1×
Citations per year

Countries citing papers authored by Joseph C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Joseph C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joseph C. Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joseph C. Wu Line = papers co-authored together Joseph C. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries
Hit paper breakdown →
202488
2 202413
3 202318
4 202227
5 202141
6 20205
7 202088
8 202039
9 2019148
10 201638
11 2015123
12 2015111
13 2015167
14 2012131
15 201173
16 201063
17 2010152
18 200947
19 2009376
20 200319

About Joseph C. Wu

Joseph C. Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 671 papers that have together received 40.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (228 papers), CRISPR and Genetic Engineering (121 papers), Tissue Engineering and Regenerative Medicine (118 papers), 3D Printing in Biomedical Research (80 papers), Congenital heart defects research (71 papers), Neuroscience and Neural Engineering (56 papers), Mesenchymal stem cell research (55 papers) and Cardiomyopathy and Myosin Studies (53 papers). The work is most often cited by research in Molecular Biology (24.6k citations), Genetics (3.6k citations), Cardiology and Cardiovascular Medicine (6.5k citations), Biomaterials (3.3k citations) and Cellular and Molecular Neuroscience (4.2k citations). Joseph C. Wu has collaborated with scholars based in United States, India and China. Frequent co-authors include Paul W. Burridge, Robert C. Robbins, Sanjiv S. Gambhir, Kitchener D. Wilson, Zongjin Li, Elena Matsa, Shijun Hu, Ning Sun, Patricia K. Nguyen and Feng Cao. Their work appears in journals such as Circulation, Circulation Research, Stem Cell Research, Journal of the American College of Cardiology and Cell stem cell.

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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