John J. Warner

3.1k citations
53 papers · 1.9k · h-index 23

Impact in

Papers in

John J. Warner

53 papers receiving 1.8k citations

Peers

John J. Warner
Comparison fields: 5 of 145
  • Automotive Engineering 240
  • Cardiology and Cardiovascular Medicine 361
  • Obstetrics and Gynecology 110
  • Biomedical Engineering 411
  • Geriatrics and Gerontology 25
Replace Qiang Zhao with:
Qiang Zhao China
Young Joon Hong South Korea
Michael H. Weber Canada
Roland Chen United States
Tae Gyun Kwon South Korea
Ji Eun Jun South Korea
Hiroyuki Kato Japan
Satoshi Nagano Japan
Filippo Migliorini Italy
John J. Warner relative to Qiang Zhao China Qiang Zhao's profile →
Citations per field
00.5×8.5×
Qiang Zhao · 1×
Citations per year

Countries citing papers authored by John J. Warner

Since Specialization
Citations

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

Fields of papers citing papers by John J. Warner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Warner. 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 John J. Warner. The network helps show where John J. Warner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014284
2 2018228
3 2013211
4 2019173
5 201688
6 201969
7 201669
8 201765
9 200856
10 200051
11 198146
12 199041
13 201935
14 200235
15 201734
16 201633
17 200732
18 200932
19 200031
20 202025

About John J. Warner

John J. Warner is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering and General Health Professions, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Cardiac Valve Diseases and Treatments (4 papers), IgG4-Related and Inflammatory Diseases (3 papers), Cardiovascular Function and Risk Factors (3 papers), 3D Printing in Biomedical Research (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Automotive Engineering (240 citations), Cardiology and Cardiovascular Medicine (361 citations), Obstetrics and Gynecology (110 citations), Biomedical Engineering (411 citations) and Geriatrics and Gerontology (25 citations). John J. Warner has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Shaochen Chen, Pranav Soman, Nancy Brown, Mark McClellan, Robert M. Califf, Peter Chung, Kolin C. Hribar, Wei Zhu, Henry H. Hwang and Alexandria J. Hill. Their work appears in journals such as Circulation, Journal of the American College of Cardiology, Catheterization and Cardiovascular Interventions, The American Journal of Cardiology and Neurology.

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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