William E. Stansfield

1.1k citations
27 papers · 707 · h-index 14

Impact in

Papers in

William E. Stansfield

27 papers receiving 696 citations

Peers

William E. Stansfield
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 280
  • Cancer Research 112
  • Molecular Biology 386
  • Cell Biology 85
  • Pathology and Forensic Medicine 74
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Qiao Liao China
Daniela Tı̂rziu United States
Sheng‐an Su China
Gerhild Euler Germany
Jochen Pöling Germany
Yasushi Aihara Japan
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Citations per field
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Citations per year

Countries citing papers authored by William E. Stansfield

Since Specialization
Citations

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

Fields of papers citing papers by William E. Stansfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200897
2 200791
3 200982
4 200776
5 200964
6 200755
7 201539
8 200736
9 200925
10 201520
11 202019
12 200817
13 201616
14 201214
15 201613
16 20179
17 20216
18 20016
19 20066
20 20166

About William E. Stansfield

William E. Stansfield is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Biomedical Engineering and Cancer Research, having authored 27 papers that have together received 707 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (7 papers), Mechanical Circulatory Support Devices (7 papers), Cardiac Fibrosis and Remodeling (7 papers), NF-κB Signaling Pathways (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (280 citations), Cancer Research (112 citations), Molecular Biology (386 citations), Cell Biology (85 citations) and Pathology and Forensic Medicine (74 citations). William E. Stansfield has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Craig H. Selzman, Ruhang Tang, Monte S. Willis, Albert S. Baldwin, Cam Patterson, Mauricio Rojas, Da‐Zhi Wang, Thomas E. Callis, Xi‐Long Zheng and Jessica Rodriguez. Their work appears in journals such as Journal of the American College of Surgeons, Journal of Surgical Research, The Journal of Heart and Lung Transplantation, Journal of Thoracic and Cardiovascular Surgery and American Journal of Physiology-Heart and Circulatory Physiology.

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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