William T. Pu

27.6k citations
203 papers · 18.5k indexed · 9 hit papers · h-index 77

Impact in

Papers in

William T. Pu

195 papers receiving 18.3k citations

Hit Papers

Fibre-infused gel scaffolds guide cardiomyocyte alignment in 3D-printed ventricles 2023 · 125 citations
125200720262013201950010001.5k

Peers

William T. Pu
Comparison fields: 5 of 162
  • Molecular Biology 13.7k
  • Cardiology and Cardiovascular Medicine 4.5k
  • Cancer Research 2.4k
  • Surgery 4.2k
  • Cell Biology 1.5k
Replace Bin Zhou with:
Bin Zhou China
Michael Schneider United States
Min Lü United States
Gianluigi Condorelli Italy
Christine L. Mummery Netherlands
Thomas Doetschman United States
Sawa Kostin Germany
Elaine W. Raines United States
Maurizio C. Capogrossi Italy
Elena Aïkawa United States
William T. Pu relative to Bin Zhou China Bin Zhou's profile →
Citations per field
00.5×1.7×
Bin Zhou · 1×
Citations per year

Countries citing papers authored by William T. Pu

Since Specialization
Citations

This map shows the geographic impact of William T. Pu'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 William T. Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Pu more than expected).

Fields of papers citing papers by William T. Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. Pu. 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 William T. Pu. The network helps show where William T. Pu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside William T. Pu, 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 William T. Pu Line = papers co-authored together William T. Pu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202413
4 202416
5 20241
6 202310
7
Fibre-infused gel scaffolds guide cardiomyocyte alignment in 3D-printed ventricles
Hit paper breakdown →
2023125
8 202320
9 202215
10 20216
11 202086
12 202031
13 2019212
14 201529
15 2014147
16 201398
17 2011273
18 2011104
19 200928
20 199115

About William T. Pu

William T. Pu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Cancer Research and Genetics, having authored 203 papers that have together received 18.5k indexed citations. Recurring topics across this work include Congenital heart defects research (83 papers), Tissue Engineering and Regenerative Medicine (23 papers), Cardiomyopathy and Myosin Studies (20 papers), RNA modifications and cancer (19 papers), RNA Research and Splicing (19 papers), Congenital Heart Disease Studies (18 papers), CRISPR and Genetic Engineering (17 papers) and Genomics and Chromatin Dynamics (17 papers). The work is most often cited by research in Molecular Biology (13.7k citations), Cardiology and Cardiovascular Medicine (4.5k citations), Cancer Research (2.4k citations), Surgery (4.2k citations) and Cell Biology (1.5k citations). William T. Pu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Qing Ma, Bin Zhou, Alexander von Gise, Seigo Izumo, Sek Won Kong, Yuxuan Guo, Aibin He, Zhiqiang Lin, Pingzhu Zhou and Sadakatsu Ikeda. Their work appears in journals such as Circulation Research, Proceedings of the National Academy of Sciences, Nature Communications, Circulation and Molecular and Cellular Biology.

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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